expert-registry-mcp

High-performance MCP server for expert discovery with vector and graph database integration. Features Docker containerization, multi-client architecture, and comprehensive expert management tools.

0 stars PythonOthers Updated Dec 16, 2025

No README could be loaded. View the project on GitHub for full documentation.

Frequently asked questions

What is expert-registry-mcp?

expert-registry-mcp is High-performance MCP server for expert discovery with vector and graph database integration. Features Docker containerization, multi-client architecture, and comprehensive expert management tools.

How do I install expert-registry-mcp?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is expert-registry-mcp open source?

Yes — it is hosted on GitHub at https://github.com/agentience/expert-registry-mcp.

Related MCP tools

cognee

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.

30,433 Python

agent-memoryagent-skillsai+16

skyvern

Automate browser based workflows with AI

22,930 Python

apiautomationbrowser+13

hindsight

Hindsight: Agent Memory That Learns

22,468 Python

agentic-aimemoryagents+1

watermarks-remover

A privacy-first app that strips AI watermarks from content you own.

20,504 Python

agent-skillaic2pa+12

Qwen-Agent

Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.

17,062 Python

pal-mcp-server

The power of Claude Code / GeminiCLI / CodexCLI + [Gemini / OpenAI / OpenRouter / Azure / Grok / Ollama / Custom Model / All Of The Above] working as one.

11,731 Python

Run your own MCP server? See who uses it and what to fix.

Measure it with TrackMCP