KnyazevAI MCP Catalog

by knyazev741

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About

Search and discover 24,500+ MCP servers and AI agents. Semantic search, trust scores, vulnerability tracking.

Details

Author
knyazev741
Categories
Search, AI, Knowledge Base, Other

Setup

Install KnyazevAI MCP Catalog in your MCP client (Claude Desktop, Cursor, Windsurf, and others).

Repository: https://github.com/knyazev741/mcp-catalog

Follow the installation instructions in the repository README, then restart your MCP client.

Search and discover 24,500+ MCP servers and AI agents. Semantic search, trust scores, vulnerability tracking.

MCP server that connects your AI assistant to theKnyazevAIsearch engine — the largest unified index of MCP servers and AI agents (24,500+ entries across 8 registries).

Your assistant gets tools tosearch,browse,filter, andinspectMCP servers. It returns structured data (JSON with names, descriptions, trust scores, install commands, GitHub stars, licenses, vulnerabilities) — the assistant then presents results however it wants.

{ "mcpServers": { "mcp-catalog": { "command": "npx", "args": ["-y", "knyazevai-mcp-catalog"] } } }
{ "mcpServers": { "mcp-catalog": { "command": "npx", "args": ["-y", "knyazevai-mcp-catalog"] } } }

Windsurf~/.codeium/windsurf/mcp_config.json:

{ "mcpServers": { "mcp-catalog": { "command": "npx", "args": ["-y", "knyazevai-mcp-catalog"] } } }
{ "servers": { "mcp-catalog": { "command": "npx", "args": ["-y", "knyazevai-mcp-catalog"] } } }

- Title & description— what the server does
- Trust score(0-100) — composite of source credibility, popularity, freshness, security
- GitHub stars— community adoption signal
- Install command— ready to paste into your config
- Transport type— stdio, SSE, or streamable-http
- License— MIT, Apache-2.0, etc.
- Pricing— free/paid/freemium
- Vulnerability count— known CVEs in dependencies

Server details (get_server) additionally include:

- Full list of MCP tools the server exposes
- Trust score breakdown (6 dimensions)
- Framework compatibility (Claude Desktop, Cursor, Windsurf, etc.)
- npm/PyPI/Docker package info
- README summary

This package is a thin MCP server that forwards requests to theknyazevai.workREST API. All indexing, ranking, and scoring happens on the backend. This client just calls the API and returns JSON results as MCP tool responses.

No API key required. No data collection. No internal logic.

You can also use the API directly without MCP:

# Search curl "https://knyazevai.work/api/v1/servers/search?q=database&limit=5" # Browse by trust score curl "https://knyazevai.work/api/v1/servers?sort_by=trust&limit=10" # Server details curl "https://knyazevai.work/api/v1/servers/{uuid}" # Vulnerabilities curl "https://knyazevai.work/api/v1/servers/{uuid}/vulnerabilities" # Stats curl "https://knyazevai.work/api/v1/stats"

Full API docs:knyazevai.work/llms-full.txt

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