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

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](https://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:**

1. Developer tools (Claude Code enhancers, terminal integrations)

2. Workflow automation (n8n, custom pipeline builders)

3. Database connectors (PostgreSQL, SQLite, Redis)

4. API integrations (GitHub, Slack, Notion, Linear)

5. 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