DEV Community: Kiprio

5 AI-Powered NuGet Packages That Will Save You Weeks of Integration Work

Kiprio — Sun, 09 Aug 2026 05:24:42 +0000

Every .NET project I've worked on in the last two years has had the same story: "we need AI-powered X." Then someone spends a week writing API wrappers, handling rate limits, wiring up dependency injection, and writing tests before the actual feature work can begin.

These five packages eliminate that work.

1. ForeverTools.EmailAI — AI Email Composition and Classification

dotnet add package ForeverTools.EmailAI

What it does: compose emails from bullet points, generate contextual replies, summarize long threads, and classify emails by category/priority/sentiment.

services.AddForeverToolsEmailAI(config["AIML_API_KEY"]);

// In your handler:
var email = await _emailAI.ComposeAsync(new ComposeRequest
{
    Subject = "Project update for Q2",
    BulletPoints = new[] { "Shipped feature X", "Delayed feature Y by 2 weeks", "Need sign-off on Z" },
    Tone = EmailTone.Professional
});

One call. No prompt engineering. No token counting. Just a clean, typed result.

Download: ForeverTools.EmailAI on NuGet

2. ForeverTools.Sentiment — Emotion Detection Beyond Positive/Negative

dotnet add package ForeverTools.Sentiment

Most sentiment libraries give you Positive/Negative/Neutral. This one gives you joy, anger, fear, sadness, disgust, and surprise with confidence scores.

services.AddForeverToolsSentiment(config["AIML_API_KEY"]);

var result = await _sentiment.AnalyzeAsync("The new checkout flow is so much faster, love it!");
// result.Sentiment = Positive
// result.Emotions = [{ Joy: 0.87 }, { Surprise: 0.12 }]
// result.Confidence = 0.94

Useful for: customer feedback dashboards, support ticket prioritization, social media monitoring.

Download: ForeverTools.Sentiment on NuGet

3. ForeverTools.InvoiceParser — Structured Data from Any Receipt or Invoice

dotnet add package ForeverTools.InvoiceParser

Pass a PDF or image URL, get back a typed InvoiceData object with vendor name, invoice number, line items, totals, and tax. Uses GPT-4 Vision under the hood, handles multi-page documents.

var invoice = await _invoiceParser.ParseAsync(new ParseRequest
{
    FileUrl = "https://example.com/invoice.pdf"
});

Console.WriteLine($"Vendor: {invoice.VendorName}");
Console.WriteLine($"Total: {invoice.TotalAmount} {invoice.Currency}");
foreach (var item in invoice.LineItems)
    Console.WriteLine($"  {item.Description}: {item.UnitPrice} x {item.Quantity}");

Alternative: Mindee charges $0.10/page. Veryfi is $500/month minimum. This uses your own API key.

Download: ForeverTools.InvoiceParser on NuGet

4. ForeverTools.ContentMod — Toxicity, Hate Speech, and Adult Content Detection

dotnet add package ForeverTools.ContentMod

Before you store user-generated content, run it through moderation. This library checks for toxicity, hate speech, adult content, and violence with per-category confidence scores.

var result = await _contentMod.ModerateAsync(new ModerationRequest
{
    Text = userInputText
});

if (result.Flagged)
{
    var reasons = result.Categories
        .Where(c => c.Flagged)
        .Select(c => c.Name);
    return BadRequest($"Content rejected: {string.Join(", ", reasons)}");
}

Download: ForeverTools.ContentMod on NuGet

5. ForeverTools.CodeGen — AI Code Generation and Explanation

dotnet add package ForeverTools.CodeGen

Useful for building developer tools, internal assistants, or any app where users need code help. Supports generation, refactoring, explanation, and unit test generation.

var result = await _codeGen.GenerateAsync(new CodeGenRequest
{
    Description = "A C# method that validates UK postcodes using regex",
    Language = "csharp",
    IncludeTests = true
});

Console.WriteLine(result.Code);
Console.WriteLine(result.Explanation);

Download: ForeverTools.CodeGen on NuGet

The Pattern

All five packages follow the same conventions:

Dependency injection: services.AddForeverTools{Package}(apiKey) — one line in Program.cs
Async-first: every operation is Task<T>, no blocking calls
Typed results: no dynamic or string parsing, just clean C# objects
BYOK: bring your own API key (AI/ML API at aimlapi.com) — no separate vendor account needed for most packages
.NET 6, 8, and .NET Standard 2.0 — works with everything from legacy WCF hosts to the latest Minimal API

# Install all five
dotnet add package ForeverTools.EmailAI
dotnet add package ForeverTools.Sentiment
dotnet add package ForeverTools.InvoiceParser
dotnet add package ForeverTools.ContentMod
dotnet add package ForeverTools.CodeGen

Source and issues: github.com/ForeverTools

Have you integrated AI into your .NET stack? What integration pain points have you hit? Drop a comment — always looking for the next wrapper to build.

Add AI superpowers to Claude Code with one .NET command

Kiprio — Sun, 09 Aug 2026 05:23:57 +0000

I've been using Claude Code for most of my development work. One thing that kept bugging me: Claude can reason about text, but it can't summarize a URL it can't visit, translate into 100+ languages natively, or extract text from an image. You hit those limits fast.

Model Context Protocol (MCP) servers fix this by giving Claude callable tools. The problem: most MCP servers are Python or Node.js, and setting them up takes longer than it should.

I'm a .NET developer, so I built one in C#: ForeverTools.Mcp — a .NET global tool that plugs 13 AI-powered capabilities directly into Claude Code.

Install in 60 seconds

# Step 1: install the global tool
dotnet tool install -g ForeverTools.Mcp

# Step 2: grab a free API key (10M tokens/month free at aimlapi.com)
# https://aimlapi.com/?via=forevertools

# Step 3: wire it into Claude Code
claude mcp add forevertools-mcp --env AIMLAPI_KEY=your_key_here -- forevertools-mcp

That's it. Next time you open Claude Code, the tools are there.

FetchUrlText works with no API key. If you just want web fetch + keyword extraction, you can skip the API key entirely.

What you get

Once connected, Claude can call these tools automatically when you ask for them:

Tool	What it does
`SummarizeText`	TL;DR, bullet points, executive summary, key points
`SummarizeUrl`	Fetch any URL and summarize its content
`TranslateText`	100+ languages, with tone control (formal/casual/technical)
`ListSupportedLanguages`	Full list of translation targets
`AnalyzeSentiment`	Positive/Negative/Neutral + 6 emotion categories (joy, anger, fear…)
`AnalyzeSentimentBatch`	Up to 20 texts at once
`ExtractTextFromImage`	OCR — paste any image URL, get the text back
`TranscribeAudio`	Speech-to-text from MP3, WAV, M4A, FLAC URLs
`GenerateImage`	DALL-E 3, Flux, or Stable Diffusion image generation
`FetchUrlText`	Fetch and clean any web page (no API key needed)
`ExtractKeywords`	Top phrases as list, JSON, or CSV
`FormatJson`	Prettify and validate JSON
`ConvertMarkdownToHtml`	Markdown → HTML in-context

Real prompts that now work

> "Summarize this changelog for the weekly update email"
[paste changelog text]

> "What's this competitor's pricing page saying?"
[paste URL]

> "Translate this error message into Spanish and French"
[paste text]

> "Extract the text from this receipt"
https://example.com/receipt.jpg

> "Analyze the sentiment of these 5 support tickets"
[paste tickets]

Claude calls the right tool, returns the result, and keeps working. No copy-pasting to external tools, no browser tabs.

No BYOK friction

The AI/ML API (aimlapi.com) has a genuinely useful free tier: 10 million tokens per month. For most development workflows — summarizing docs, occasional translations, testing sentiment analysis — you won't hit it. If you scale up, paid starts at $9/month.

This is different from having to provision your own OpenAI or Anthropic key, configure billing, and worry about costs creeping up on you.

How it works under the hood

The tool is a standard .NET global tool that implements the MCP stdio transport. When Claude Code starts, it launches forevertools-mcp as a subprocess and communicates via JSON-RPC on stdin/stdout.

// ~/.claude/settings.json
{
  "mcpServers": {
    "forevertools": {
      "command": "forevertools-mcp",
      "env": {
        "AIMLAPI_KEY": "your_api_key_here"
      }
    }
  }
}

Each tool is a C# class using the ModelContextProtocol SDK (0.2.0-preview.3). The server registers all tools at startup and handles the MCP handshake automatically.

Works with other MCP clients too

ForeverTools.Mcp uses the standard MCP protocol, so it works with:

Claude Desktop — same claude_desktop_config.json pattern
Cursor — add as an external MCP server
Any MCP-compatible client

Install it

dotnet tool install -g ForeverTools.Mcp

NuGet: nuget.org/packages/ForeverTools.Mcp

Source: github.com/ForeverTools/ForeverTools

If you're already using Claude Code for .NET development, this drops 13 tools into your workflow in under a minute. Give it a try and let me know what use cases I should add next.

Best Email Validation APIs 2026: Free vs Paid Comparison

Kiprio — Sun, 02 Aug 2026 10:47:04 +0000

Need to clean a mailing list, block fake signups, or verify an email address before sending? An email validation API does the heavy lifting: MX record lookups, disposable domain detection, syntax checks, and role address flagging — all via a single REST call. This guide compares the top email validation APIs in 2026 across free tier limits, accuracy claims, and response format.

Why Use an Email Validation API?

Rolling your own email checker sounds simple until you hit the edge cases:

Disposable addresses — Mailinator, Guerrilla Mail, and 5,000+ throwaway domains that pass syntax checks
Role addresses — admin@, support@, info@ inflate your subscriber count and tank deliverability
MX failures — valid-looking addresses on domains with no mail server
Typo correction — gmial.com, yahooo.com caught before your list grows stale
Hard-bounce prevention — a single bad list can get your sending domain blocklisted

Top Email Validation APIs at a Glance (2026)

API	Free Tier	Paid From	Disposable Detection	MX Check	Typo Hint
kiprio.com Best Value	100 req/day	$9/mo	Yes (5,400+ domains)	Yes	Yes
ZeroBounce	100 req/month	$20/mo	Yes	Yes	No
NeverBounce	None (pay-per-use)	$0.008/email	Yes	Yes	No
Hunter.io	25 verif/month	$49/mo	Yes	Yes	No
Abstract API	100 req/month	$14/mo	Yes	Yes	No

1. kiprio.com Email Validation API — Best Value

Free tier: 100 requests/day, no credit card required

Pro: $9/month — 10,000 requests/month

Endpoint: GET https://kiprio.com/v1/email/?email=test@example.com

The kiprio Email Validation API checks syntax, MX records, disposable domain status (5,400+ domains), role address detection, and returns a typo hint when the domain looks like a common provider misspelling.

curl "https://kiprio.com/v1/email/?email=user@gmail.com" \
  -H "X-API-Key: YOUR_KEY"

{
  "email": "user@gmail.com",
  "valid": true,
  "disposable": false,
  "role": false,
  "mx_found": true,
  "typo_hint": null,
  "result": "deliverable"
}

Python example:

import httpx

def validate_email(email, api_key):
    r = httpx.get(
        "https://kiprio.com/v1/email/",
        params={"email": email},
        headers={"X-API-Key": api_key}
    )
    r.raise_for_status()
    return r.json()

result = validate_email("user@example.com", "YOUR_KEY")
if not result["valid"] or result["disposable"]:
    print("Reject this address")

Best for: Developers who want a daily free tier with disposable detection, MX verification, and typo correction in one call.

2. ZeroBounce — Accuracy-First Enterprise Option

Free tier: 100 credits/month (one per validation) | Paid: from $20/month (2,000 validations)

ZeroBounce is the market leader on deliverability accuracy, with a 98%+ guarantee and bulk batch processing. Their scoring model cross-references mail server responses and proprietary blocklists. The tradeoff: no daily free tier (monthly cap exhausts in a day of moderate use) and pricing scales steeply — 100,000 validations runs ~$400/month.

3. NeverBounce — Pay-Per-Use Without a Subscription

Free tier: None | Paid: $0.008/email (pay-per-use) or $8/month (1,000 credits)

NeverBounce suits list cleaning over a single-shot API. No monthly subscription needed: buy credits, use them. Accuracy claims 99.9% and the bulk file upload (CSV) is well-tested. Not ideal for real-time form validation — the cost adds up on high-traffic signups.

4. Hunter.io Email Verifier

Free tier: 25 verifications/month | Paid: from $49/month (1,000 verifications)

Hunter is primarily an email finder (find addresses by company domain), with verification as a secondary feature. The API is clean and the free tier covers manual checks, but 25/month is not enough for any automated flow. Best if you already use Hunter for prospecting.

5. Abstract API Email Validation

Free tier: 100 req/month | Paid: from $14/month

Simple REST API with good documentation. The 100/month free tier is monthly (not daily), so it exhausts fast in testing. No typo correction. A reasonable choice if you are already using other Abstract APIs and want to consolidate billing.

What to Look For in an Email Validation API

Daily vs monthly caps: 100/day ≈ 3,000/month. A 100/month cap sounds equivalent but runs out in the first morning of integration testing.

Disposable domain list size: The difference between 500 and 5,000+ domains is the difference between catching Mailinator and catching the long tail of newly registered throwaway services.

Typo correction: Returning gmial.com → gmail.com? at the form layer prevents hard bounces before they hit your list.

Response time: Real-time validation at signup tolerates ~300ms. Batch-mode APIs can afford 2–3 seconds; form validation cannot.

Summary

Free daily validation — kiprio.com (100/day, no card, disposable + MX + typo)
Under $10/month — kiprio.com Pro ($9/mo, 10,000/month)
Enterprise accuracy at scale — ZeroBounce
One-off list cleaning — NeverBounce pay-per-use
Bundled with prospecting — Hunter.io

Try kiprio.com free: 100 email validations/day, disposable detection, MX check, and typo hints — no credit card. Get free API key | Full comparison with live demo

Best WHOIS Lookup APIs 2026: Free vs Paid Comparison

Kiprio — Sun, 02 Aug 2026 06:58:55 +0000

Need to query domain ownership, registration dates, and registrar details programmatically? A WHOIS API handles the raw WHOIS protocol and delivers clean JSON. This guide compares the top WHOIS APIs in 2026 across pricing, rate limits, data quality, and what you actually get back.

Why Use a WHOIS API?

Raw WHOIS queries work for one-off lookups but fail at scale. A REST WHOIS API solves the common pain points:

Domain monitoring — detect expiring or newly registered domains automatically
Lead qualification — look up a prospect domain age, owner, and registrar
Fraud detection — flag domains registered less than 30 days ago
Competitive research — enumerate a competitor registrar footprint
Threat intelligence — identify disposable or privacy-shielded registrations

Top WHOIS APIs at a Glance (2026)

API	Free Tier	Paid From	Parsed JSON	Expiry Date	Bulk
kiprio.com Best Value	100 req/day	$9/mo	Yes	Yes	Yes
WhoisXML API	500 credits	$99/mo	Yes	Yes	Yes
APILayer WHOIS	1,000 req/mo	$14.99/mo	Yes	Yes	No
Abstract API	20 req/mo	$14/mo	Yes	Yes	No
WhoisFreaks	100 req/mo	$9.99/mo	Yes	Yes	Yes

1. kiprio.com WHOIS API — Best Value

Free tier: 100 requests/day, no credit card required

Pro: $9/month — 10,000 requests/month

Endpoint: GET https://kiprio.com/v1/whois?domain=example.com

The kiprio WHOIS API returns clean, parsed JSON with registrar, creation date, expiry date, nameservers, registrant country, and privacy shield status across TLDs.

curl "https://kiprio.com/v1/whois?domain=github.com" -H "X-API-Key: YOUR_KEY"

{
  "domain": "github.com",
  "registrar": "MarkMonitor Inc.",
  "created_at": "2007-01-26",
  "expires_at": "2025-01-26",
  "nameservers": ["ns1.p16.dynect.net", "ns2.p16.dynect.net"],
  "registrant_country": "US",
  "privacy_shield": false
}

Python example:

import httpx

def whois_lookup(domain, api_key):
    r = httpx.get("https://kiprio.com/v1/whois",
                  params={"domain": domain},
                  headers={"X-API-Key": api_key})
    r.raise_for_status()
    return r.json()

info = whois_lookup("example.com", "YOUR_KEY")
print(f"Expires: {info['expires_at']}")

Best for: Developers who want clean, affordable WHOIS with a daily free tier.

2. WhoisXML API — Enterprise Choice

Free tier: 500 credits (one-time) | Paid: $99/month (75,000 queries)

Most data-rich option: 2,600+ TLDs, 10+ years of historical WHOIS snapshots, reverse WHOIS, and domain availability. If you need historical data or SOC-level threat intel, nothing else competes.

3. APILayer WHOIS API

Free tier: 1,000 req/month | Paid: $14.99/month

Good documentation and parsed JSON. The 1,000/month free tier exhausts in two days of moderate monitoring. No bulk endpoint or historical data.

4. Abstract API WHOIS

Free tier: 20 req/month | Paid: $14/month

Useful only if already paying for other Abstract APIs. The 20/month cap is not viable for any systematic use.

5. WhoisFreaks

Free tier: 100 req/month | Paid: $9.99/month

Competitive pricing with bulk endpoints and newly registered domain feeds. Good alternative to kiprio if you need more than 100 daily lookups.

What to Look For in a WHOIS API

Parsed JSON vs raw text: Structured fields (created_at, expires_at, registrar) are essential — raw WHOIS text parsing breaks across registrars.

Daily vs monthly caps: 100/day ~ 3,000/month. A monthly cap of 1,000 sounds similar but exhausts in two days of monitoring.

TLD coverage: ccTLDs like .uk, .de, .io vary by registry policy — verify before committing.

Response freshness: Real-time queries outperform 24h-cached results for domain monitoring.

Summary

Free daily monitoring — kiprio.com (100/day, no card)
Under $10/month — kiprio.com Pro ($9/mo) or WhoisFreaks ($9.99/mo)
Enterprise / historical — WhoisXML API
Bundled platform — APILayer WHOIS

Try kiprio.com free: 100 WHOIS lookups/day, clean parsed JSON, no credit card. Get free API key | Full comparison with live demo

I Built a Live Registry of 750+ MCP Servers — Here's What I Found

Kiprio — Sun, 19 Jul 2026 19:00:29 +0000

I Built a Live Registry of 750+ MCP Servers — Here's What I Found

[Draft for dev.to / HN — Chris to review before posting. Add author bio at bottom.]

Model Context Protocol (MCP) has exploded in the past six months. Every week, dozens of new MCP servers appear on GitHub — tools that let Claude and other AI assistants connect to databases, APIs, file systems, and basically anything else you can imagine.

The problem? There's no easy way to discover them.

So I built one: kiprio.com/mcp-registry — a live registry that tracks, categorises, and ranks MCP servers from across GitHub and community lists.

Here's what I found after indexing 750+ servers.

The MCP Ecosystem by Numbers

750+ servers indexed (and growing — the tracker runs daily)

Language breakdown:

Python: 32% (241 servers)
TypeScript: 31% (236 servers)
JavaScript: 9% (66 servers)
Go: 8% (59 servers)
Rust: 4% (30 servers)

The Python/TypeScript split is almost even. Python dominates for data-heavy integrations (databases, analytics, ML). TypeScript leads for browser-based and web service integrations.

Stars distribution:
The median MCP server has under 50 stars. Most are small personal projects. But the top 10% have thousands — these are the tools that solve real problems and get shared.

Most-starred categories:

Developer tools (Claude Code enhancers, terminal integrations)
Workflow automation (n8n, custom pipeline builders)
Database connectors (PostgreSQL, SQLite, Redis)
API integrations (GitHub, Slack, Notion, Linear)
File system and search tools

What's Actually Useful vs. What's Hype

After looking at 750+ servers, some patterns emerged:

The good: Database MCP servers are genuinely useful. Being able to ask "show me the top 10 products by revenue this month" and have Claude query your actual database is compelling. The GitHub MCP server for code review workflows is also solid.

The redundant: There are at least 40 different "weather" MCP servers, 30+ "web search" wrappers, and countless "read a file" implementations. The long tail is very long.

The interesting: The niche ones. There's an MCP server for interacting with Betfair betting markets, one for Ethereum on-chain data, one for competitive intelligence monitoring. These solve real specific problems.

How the Registry Works

The registry scrapes GitHub daily, processes package.json, pyproject.toml, and mcp.json files to confirm these are actual MCP server implementations (not just repos that mention MCP), then ranks them by:

GitHub stars (popularity signal)
Recent activity (last commit date)
Documentation quality (README completeness)
Community adoption (dependents, forks)

You can search the full registry at kiprio.com/mcp-registry or use the API:

# Search for database MCP servers
curl "https://kiprio.com/v1/mcp-registry/search?q=database"

# Get top-rated servers
curl "https://kiprio.com/v1/mcp-registry/top?limit=20"

# Get server details
curl "https://kiprio.com/v1/mcp-registry/server/modelcontextprotocol/servers"

The API is free with rate limits. For bulk access and webhooks when new servers are added, there's a Pro tier.

The Most Interesting Finding

MCP adoption is happening faster than documentation.

Most servers work but have minimal README files. The ecosystem is still in "builders building for builders" mode. If you're writing a new MCP server today, a good README with a working example puts you in the top 20% by documentation quality.

The second interesting finding: TypeScript is winning for production-quality servers. The Python servers tend to be more experimental. The TypeScript ones (especially from the core MCP team and larger contributors) are more complete and battle-tested.

What's Next

The registry is updated daily. Next additions:

Changelog feed: subscribe to get notified when a server you're watching releases a new version
Compatibility matrix: which servers work with which clients (Claude Desktop, Continue.dev, etc.)
Quality scores: automated scoring based on test coverage, documentation, activity

If you've built an MCP server and want it indexed, it should be picked up automatically within 24h. If not, submit it here.

Built with Python, FastAPI, and a lot of GitHub API calls. The full data is available via the API.

[Add: Your bio here — "I build tools at kiprio.com"]

Tags: mcp, claude, ai, modelcontextprotocol, opensource

CTA headline for HN: "I indexed 750+ MCP servers so you don't have to — here's what the ecosystem looks like"

STATUS: DRAFT — Chris needs to review before posting. Add real usage stats from the dashboard if available. Consider adding a screenshot of the registry page.

Power Up Your Claude Workflows with the Kiprio MCP Server

Kiprio — Sun, 19 Jul 2026 19:00:05 +0000

dev.to Article Draft: Using Kiprio MCP Server in Your Claude Workflows

Power Up Your Claude Workflows with the Kiprio MCP Server

claude, mcp, api, developer, ai

If you're using Claude Desktop or Claude Code and want to add real-world data capabilities to your AI workflows, the Kiprio MCP server gives you instant access to a growing set of APIs — no backend code required.

In this post, I'll walk through the three most useful tools, how to connect them, and what you can build.

What is an MCP Server?

The Model Context Protocol (MCP) lets Claude connect to external tools and data sources. Instead of copy-pasting data into prompts, you configure an MCP server once and Claude can call APIs on your behalf during conversations.

Setting Up Kiprio MCP

Add this to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on Mac):

{
  "mcpServers": {
    "kiprio": {
      "command": "uvx",
      "args": ["kiprio-mcp"],
      "env": {
        "KIPRIO_API_KEY": "your-free-key-here"
      }
    }
  }
}

Or for Claude Code, run: claude mcp add kiprio -- uvx kiprio-mcp

Get your free API key at kiprio.com/mcp — no credit card required, 100 requests/day free per tool.

The Three Tools Worth Using Today

1. Email Validation (`email_validate`)

Perfect for checking user-submitted emails in Claude-powered data pipelines.

Claude prompt: "Validate these emails from the CSV: alice@example.com, bob@notreal..."

Claude calls the Kiprio email validator automatically, returning deliverability scores and MX record checks. No more hand-rolling SMTP probes.

{
  "email": "alice@example.com",
  "valid": true,
  "disposable": false,
  "mx_valid": true,
  "score": 0.92
}

Use case: screening leads before an outreach campaign, validating signups in a Claude-assisted form processor.

2. DNS Lookup (`dns_lookup`)

Ask Claude to investigate domain infrastructure and get structured DNS data back.

Claude prompt: "What mail servers does anthropic.com use? Are they on any blocklists?"

Returns A, MX, TXT, CNAME records in one call. Useful for Claude-powered devops scripts, domain investigation workflows, and security checks.

3. Invoice Parser (`invoice_parser`)

Upload a PDF or image invoice and get structured JSON back — supplier name, line items, totals, VAT.

Claude prompt: "Parse this invoice PDF and add it to my expenses spreadsheet"

This is where MCP really shines: Claude handles the reasoning and formatting, Kiprio handles the extraction. The result plugs straight into your workflow.

Building a Real Workflow

Here's a quick example: a Claude workflow that validates supplier contacts from a spreadsheet.

Claude reads the CSV via your file system MCP
For each row, calls email_validate via Kiprio MCP
Flags low-score or disposable addresses
Outputs a clean report

The whole thing runs in a single Claude conversation. No server code. No API boilerplate.

BYOK Pricing

The free tier covers experimentation (20 req/day). For production:

Pro: from $9/mo — unlimited calls, SLA
Business: from $39/mo — higher rate limits, priority support

All plans are BYOK (Bring Your Own Key) — your key, your usage. No sharing.

What's Coming

The Kiprio MCP server is registered at mcpservers.org and the tool list is growing. Coming soon: web scraping, PDF generation, and WHOIS lookups via MCP.

If you're building Claude-powered tools and need reliable APIs, try Kiprio: kiprio.com/mcp

Built by ForeverTools. Questions? Find us at kiprio.com.

Publishing Checklist

[ ] Chris posts this to dev.to under ForeverTools profile
[ ] Add canonical URL to kiprio.com/mcp page: <link rel="me" href="https://dev.to/forevertools">
[ ] Submit dev.to article URL to kiprio sitemap (add to sitemap.xml)
[ ] Chris: post short link in relevant dev.to communities (#claude, #mcp, #api)
[ ] After 7 days: check analytics (dev.to dashboard shows reads, reactions)

Internal Link to Add

On kiprio.com/mcp page, add near the bottom:

<p>📖 <a href="https://dev.to/forevertools/power-up-your-claude-workflows">Read our dev.to guide to getting started</a></p>

I Built a Live Registry of 750+ MCP Servers — Here's What I Found

Kiprio — Thu, 16 Jul 2026 22:02:11 +0000

The problem? There's no easy way to discover them.

So I built one: kiprio.com/mcp-registry — a live registry that tracks, categorises, and ranks MCP servers from across GitHub and community lists.

Here's what I found after indexing 750+ servers.

The MCP Ecosystem by Numbers

750+ servers indexed (and growing — the tracker runs daily)

Language breakdown:

Python: 32% (241 servers)
TypeScript: 31% (236 servers)
JavaScript: 9% (66 servers)
Go: 8% (59 servers)
Rust: 4% (30 servers)

The Python/TypeScript split is almost even. Python dominates for data-heavy integrations (databases, analytics, ML). TypeScript leads for browser-based and web service integrations.

Stars distribution:
The median MCP server has under 50 stars. Most are small personal projects. But the top 10% have thousands — these are the tools that solve real problems and get shared.

Most-starred categories:

Developer tools (Claude Code enhancers, terminal integrations)
Workflow automation (n8n, custom pipeline builders)
Database connectors (PostgreSQL, SQLite, Redis)
API integrations (GitHub, Slack, Notion, Linear)
File system and search tools

What's Actually Useful vs. What's Hype

After looking at 750+ servers, some patterns emerged:

The redundant: There are at least 40 different "weather" MCP servers, 30+ "web search" wrappers, and countless "read a file" implementations. The long tail is very long.

How the Registry Works

GitHub stars (popularity signal)
Recent activity (last commit date)
Documentation quality (README completeness)
Community adoption (dependents, forks)

You can search the full registry at kiprio.com/mcp-registry or use the API:

# Search for database MCP servers
curl "https://kiprio.com/v1/mcp-registry/search?q=database"

# Get top-rated servers
curl "https://kiprio.com/v1/mcp-registry/top?limit=20"

# Get server details
curl "https://kiprio.com/v1/mcp-registry/server/modelcontextprotocol/servers"

The API is free with rate limits. For bulk access and webhooks when new servers are added, there's a Pro tier.

The Most Interesting Finding

MCP adoption is happening faster than documentation.

What's Next

The registry is updated daily. Next additions:

Changelog feed: subscribe to get notified when a server you're watching releases a new version
Compatibility matrix: which servers work with which clients (Claude Desktop, Continue.dev, etc.)
Quality scores: automated scoring based on test coverage, documentation, activity

If you've built an MCP server and want it indexed, it should be picked up automatically within 24h. If not, submit it here.

Built with Python, FastAPI, and a lot of GitHub API calls. The full data is available via the API.

— The team at kiprio.com — we build APIs and tools for developers.

Power Up Your Claude Workflows with the Kiprio MCP Server

Kiprio — Thu, 16 Jul 2026 22:02:10 +0000

dev.to Article Draft: Using Kiprio MCP Server in Your Claude Workflows

Power Up Your Claude Workflows with the Kiprio MCP Server

claude, mcp, api, developer, ai

In this post, I'll walk through the three most useful tools, how to connect them, and what you can build.

What is an MCP Server?

Setting Up Kiprio MCP

Add this to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on Mac):

{
  "mcpServers": {
    "kiprio": {
      "command": "uvx",
      "args": ["kiprio-mcp"],
      "env": {
        "KIPRIO_API_KEY": "your-free-key-here"
      }
    }
  }
}

Or for Claude Code, run: claude mcp add kiprio -- uvx kiprio-mcp

Get your free API key at kiprio.com/mcp — no credit card required, 100 requests/day free per tool.

The Three Tools Worth Using Today

1. Email Validation (`email_validate`)

Perfect for checking user-submitted emails in Claude-powered data pipelines.

Claude prompt: "Validate these emails from the CSV: alice@example.com, bob@notreal..."

Claude calls the Kiprio email validator automatically, returning deliverability scores and MX record checks. No more hand-rolling SMTP probes.

{
  "email": "alice@example.com",
  "valid": true,
  "disposable": false,
  "mx_valid": true,
  "score": 0.92
}

Use case: screening leads before an outreach campaign, validating signups in a Claude-assisted form processor.

2. DNS Lookup (`dns_lookup`)

Ask Claude to investigate domain infrastructure and get structured DNS data back.

Claude prompt: "What mail servers does anthropic.com use? Are they on any blocklists?"

Returns A, MX, TXT, CNAME records in one call. Useful for Claude-powered devops scripts, domain investigation workflows, and security checks.

3. Invoice Parser (`invoice_parser`)

Upload a PDF or image invoice and get structured JSON back — supplier name, line items, totals, VAT.

Claude prompt: "Parse this invoice PDF and add it to my expenses spreadsheet"

This is where MCP really shines: Claude handles the reasoning and formatting, Kiprio handles the extraction. The result plugs straight into your workflow.

Building a Real Workflow

Here's a quick example: a Claude workflow that validates supplier contacts from a spreadsheet.

Claude reads the CSV via your file system MCP
For each row, calls email_validate via Kiprio MCP
Flags low-score or disposable addresses
Outputs a clean report

The whole thing runs in a single Claude conversation. No server code. No API boilerplate.

BYOK Pricing

The free tier covers experimentation (20 req/day). For production:

Pro: from $9/mo — unlimited calls, SLA
Business: from $39/mo — higher rate limits, priority support

All plans are BYOK (Bring Your Own Key) — your key, your usage. No sharing.

What's Coming

The Kiprio MCP server is registered at mcpservers.org and the tool list is growing. Coming soon: web scraping, PDF generation, and WHOIS lookups via MCP.

If you're building Claude-powered tools and need reliable APIs, try Kiprio: kiprio.com/mcp

Built by ForeverTools. Questions? Find us at kiprio.com.

Publishing Checklist

[ ] Chris posts this to dev.to under ForeverTools profile
[ ] Add canonical URL to kiprio.com/mcp page: <link rel="me" href="https://dev.to/forevertools">
[ ] Submit dev.to article URL to kiprio sitemap (add to sitemap.xml)
[ ] Chris: post short link in relevant dev.to communities (#claude, #mcp, #api)
[ ] After 7 days: check analytics (dev.to dashboard shows reads, reactions)

Internal Link to Add

On kiprio.com/mcp page, add near the bottom:

<p>📖 <a href="https://dev.to/forevertools/power-up-your-claude-workflows">Read our dev.to guide to getting started</a></p>

DEV Community: Kiprio

5 AI-Powered NuGet Packages That Will Save You Weeks of Integration Work

1. ForeverTools.EmailAI — AI Email Composition and Classification

2. ForeverTools.Sentiment — Emotion Detection Beyond Positive/Negative

3. ForeverTools.InvoiceParser — Structured Data from Any Receipt or Invoice

4. ForeverTools.ContentMod — Toxicity, Hate Speech, and Adult Content Detection

5. ForeverTools.CodeGen — AI Code Generation and Explanation

The Pattern

Add AI superpowers to Claude Code with one .NET command

Install in 60 seconds

What you get

Real prompts that now work

No BYOK friction

How it works under the hood

Works with other MCP clients too

Install it

Best Email Validation APIs 2026: Free vs Paid Comparison

Why Use an Email Validation API?

Top Email Validation APIs at a Glance (2026)

1. kiprio.com Email Validation API — Best Value

2. ZeroBounce — Accuracy-First Enterprise Option

3. NeverBounce — Pay-Per-Use Without a Subscription

4. Hunter.io Email Verifier

5. Abstract API Email Validation

What to Look For in an Email Validation API

Summary

Best WHOIS Lookup APIs 2026: Free vs Paid Comparison

Why Use a WHOIS API?

Top WHOIS APIs at a Glance (2026)

1. kiprio.com WHOIS API — Best Value

2. WhoisXML API — Enterprise Choice

3. APILayer WHOIS API

4. Abstract API WHOIS

5. WhoisFreaks

What to Look For in a WHOIS API

Summary

I Built a Live Registry of 750+ MCP Servers — Here's What I Found

I Built a Live Registry of 750+ MCP Servers — Here's What I Found

The MCP Ecosystem by Numbers

What's Actually Useful vs. What's Hype

How the Registry Works

The Most Interesting Finding

What's Next

Power Up Your Claude Workflows with the Kiprio MCP Server

dev.to Article Draft: Using Kiprio MCP Server in Your Claude Workflows

What is an MCP Server?

Setting Up Kiprio MCP

The Three Tools Worth Using Today

1. Email Validation (email_validate)

2. DNS Lookup (dns_lookup)

3. Invoice Parser (invoice_parser)

Building a Real Workflow

BYOK Pricing

What's Coming

Publishing Checklist

Internal Link to Add

I Built a Live Registry of 750+ MCP Servers — Here's What I Found

The MCP Ecosystem by Numbers

What's Actually Useful vs. What's Hype

How the Registry Works

The Most Interesting Finding

What's Next

Power Up Your Claude Workflows with the Kiprio MCP Server

dev.to Article Draft: Using Kiprio MCP Server in Your Claude Workflows

What is an MCP Server?

Setting Up Kiprio MCP

The Three Tools Worth Using Today

1. Email Validation (email_validate)

2. DNS Lookup (dns_lookup)

3. Invoice Parser (invoice_parser)

Building a Real Workflow

BYOK Pricing

What's Coming

Publishing Checklist

Internal Link to Add

1. Email Validation (`email_validate`)

2. DNS Lookup (`dns_lookup`)

3. Invoice Parser (`invoice_parser`)

1. Email Validation (`email_validate`)

2. DNS Lookup (`dns_lookup`)

3. Invoice Parser (`invoice_parser`)