I Built 3 MCP Servers for AI Agents — Here's How They Work

Kenneth Doster — Sun, 28 Jun 2026 06:16:10 +0000

What are MCP Servers?

The Model Context Protocol (MCP) is an open standard that lets AI agents use external tools through a unified interface. Think of it as USB-C for AI — one protocol connects any AI client (Claude Desktop, Cursor, VS Code with Cline) to any tool or data source.

I built three production-ready MCP servers and published them to PyPI and GitHub. Here's what they do and how to use them.

1. Web Search MCP Server

uvx crewai-web-search-mcp

Two tools:

web_search(query) — Searches Google/SerpAPI and returns ranked results with snippets
extract_content(url) — Fetches and extracts readable content from any web page

Use cases: Ask your AI about current events, research competitors, pull documentation, verify facts in real time.

{
  "mcpServers": {
    "web-search": {
      "command": "uvx",
      "args": ["crewai-web-search-mcp"]
    }
  }
}

2. Code Review Automation MCP

uvx code-review-automation

Three tools:

review_code(diff) — Analyzes code changes for bugs, security issues, anti-patterns, style violations
check_quality(path) — Runs static analysis and returns a quality report
analyze_pr(diff) — Produces a structured review: what changed, what's risky, suggestions

Use cases: Paste a PR diff and get an instant review. Catch issues before they reach production.

3. Document Intelligence Server

uvx document-intelligence-server

Three tools:

extract_document(path) — OCR and text extraction from PDFs, scanned docs, images
classify_document(path) — Identifies document type (invoice, report, contract, article)
summarize_document(path) — Generates a structured summary from extracted content

Use cases: Process uploaded PDFs, extract data from scanned forms, summarize long reports.

Pricing

All three servers use a shared credit system:

Tier	Price	Credits
Free	$0	50 calls/day
Starter	$20	2,000 calls
Pro	$100	12,000 calls

Buy credits once, use them across any server. Credits never expire.

How it works:

Install with uvx crewai-web-search-mcp
Use 50 free calls per day — no key needed
For unlimited use: buy credits on Gumroad → set MCP_LICENSE_KEY → all limits removed

The Stack

Servers: Python + FastMCP
Billing: FastAPI + PostgreSQL (self-hosted, open source)
Auth: Gumroad license key verification
Distribution: PyPI, GitHub, HuggingFace, Gumroad, MCP registries

The billing backend is open source too: github.com/KennyWayn3/mcp-billing-api

DEV Community: Kenneth Doster