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

Flag	Transport	Use Case
`--stdio`	stdio	Claude Code, Cursor, Cline (default)
`--http`	Streamable HTTP	Web clients, remote access
`--sse`	Server-Sent Events	Legacy 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

Variable	Default	Description
`MIDOS_ROOT`	auto-detect	Path to MidOS installation (required)
`MIDOS_HOST`	`127.0.0.1`	HTTP server bind host
`MIDOS_PORT`	`8419`	HTTP server bind port
`MIDOS_TRANSPORT`	`stdio`	Default transport

Root Detection

The server locates the MidOS knowledge base:

MIDOS_ROOT environment variable (recommended)
Auto-detect: walks up from package location looking for CLAUDE.md + knowledge/
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

Client	Config File	Transport
Claude Desktop	`claude_desktop_config.json`	stdio
Claude Code	`.mcp.json`	stdio
Cursor	`.cursor/mcp.json`	stdio
Cline	`cline_mcp_settings.json`	stdio
Windsurf	`~/.codeium/windsurf/mcp_config.json`	stdio
Continue.dev	`~/.continue/config.json`	stdio
Zed	`~/.config/zed/settings.json`	stdio
OpenCode	`opencode.json`	SSE

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:

Tier	Tools	Access
Dev	34 tools	Free — no API key needed, full content, 500 queries/month
Pro	68 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)