MidOS - MCP Community Library

平台与服务

by midosresearch

为 AI agents 提供精选知识 API,包含 skill packs、semantic search 与已验证模式。

什么是 MidOS - MCP Community Library

为 AI agents 提供精选知识 API,包含 skill packs、semantic search 与已验证模式。

README

midos-mcp

MidOS MCP Community Library — Knowledge, Skills, and Research as MCP tools.

Install once, connect to any AI client.

Install

bash
pip install midos-mcp

Requirement: MidOS knowledge base must be available locally. Set the MIDOS_ROOT environment variable to point to your MidOS installation directory (the one containing knowledge/ and modules/).

bash
export MIDOS_ROOT=/path/to/midos

Quick Start

bash
# Start server (stdio — default for Claude Code, Cursor, etc.)
midos-mcp serve

# Start with HTTP transport
midos-mcp serve --http

# Generate config for your AI client
midos-mcp config --generate claude
midos-mcp config --generate cursor

# Check health
midos-mcp health

Commands

midos-mcp serve

Start the MCP server with your preferred transport.

bash
midos-mcp serve              # stdio (default)
midos-mcp serve --http       # Streamable HTTP on 127.0.0.1:8419
midos-mcp serve --sse        # Legacy SSE transport
midos-mcp serve --http --host 0.0.0.0 --port 9000
FlagTransportUse Case
--stdiostdioClaude Code, Cursor, Cline (default)
--httpStreamable HTTPWeb clients, remote access
--sseServer-Sent EventsLegacy clients

midos-mcp config

Generate ready-to-paste JSON config for any supported MCP client.

bash
midos-mcp config --generate claude    # Claude Desktop / Claude Code
midos-mcp config --generate cursor    # Cursor IDE
midos-mcp config --generate cline     # Cline (VS Code)
midos-mcp config --generate windsurf  # Windsurf IDE
midos-mcp config --generate continue  # Continue.dev
midos-mcp config --generate zed       # Zed Editor
midos-mcp config --generate opencode  # OpenCode
midos-mcp config --generate http      # Generic HTTP client

# Write to file
midos-mcp config --generate claude -o mcp-config.json

midos-mcp health

Check server health: knowledge base stats, vector store status, dependencies.

bash
midos-mcp health          # Human-readable output
midos-mcp health --json   # JSON output for scripts

midos-mcp keys

Manage API keys for tiered access control.

bash
midos-mcp keys generate --name "my-app" --tier dev
midos-mcp keys list
midos-mcp keys revoke midos_sk_abc

Tiers: dev (free), pro ($10/mo), admin.

Configuration

Environment Variables

VariableDefaultDescription
MIDOS_ROOTauto-detectPath to MidOS installation (required)
MIDOS_HOST127.0.0.1HTTP server bind host
MIDOS_PORT8419HTTP server bind port
MIDOS_TRANSPORTstdioDefault transport

Root Detection

The server locates the MidOS knowledge base:

  1. MIDOS_ROOT environment variable (recommended)
  2. Auto-detect: walks up from package location looking for CLAUDE.md + knowledge/
  3. Fallback: current working directory

If you installed via pip, auto-detect won't find the knowledge base. Either:

bash
# Option A: Clone the repo and point to it
git clone https://github.com/MidOSresearch/midos.git
export MIDOS_ROOT=./midos

# Option B: Point to an existing MidOS directory
export MIDOS_ROOT=/path/to/your/midos

Verify with midos-mcp health — it shows the detected root and knowledge counts.

Supported Clients

ClientConfig FileTransport
Claude Desktopclaude_desktop_config.jsonstdio
Claude Code.mcp.jsonstdio
Cursor.cursor/mcp.jsonstdio
Clinecline_mcp_settings.jsonstdio
Windsurf~/.codeium/windsurf/mcp_config.jsonstdio
Continue.dev~/.continue/config.jsonstdio
Zed~/.config/zed/settings.jsonstdio
OpenCodeopencode.jsonSSE

Optional Dependencies

bash
# Vector store support (LanceDB + embeddings)
pip install midos-mcp[vector]

# Development tools
pip install midos-mcp[dev]

What's Inside

MidOS exposes 68 MCP tools across 2 tiers:

TierToolsAccess
Dev34 toolsFree — no API key needed, full content, 500 queries/month
Pro68 tools$10/mo — security ops, AOTC, orchestration, maker write ops

Capabilities

  • Knowledge — Search 46K+ curated chunks across all domains (full content, no truncation)
  • Skills — 119 reusable patterns across 16+ technology stacks
  • EUREKA — 383 validated improvements with measured ROI
  • Truth — 50 verified patches and corrections
  • SOTA — 140 state-of-the-art convergence ceilings
  • Vector Search — Semantic search via LanceDB + Gemini embeddings (3072-d)

Rate Limits

TierQueries/monthContent
Dev500Full content (no truncation)
Pro100,000Full content + AOTC + ops packs

Invalid or expired API keys silently fall back to Dev tier.

Requirements

  • Python 3.10+
  • FastMCP 2.x
  • MidOS knowledge base (local)

License

MIT

常见问题

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