DEV Community: Kiprio

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

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

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.

— 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

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>