MidOS MCP Community Library provides a server that connects to AI clients, allowing access to a knowledge base and various MCP tools.
From the registry: Curated knowledge API for AI agents - skill packs, semantic search, validated patterns.
$ git clone https://github.com/MidOSresearch/midos.githttps://github.com/MidOSresearch/midosPlease install the `midos-mcp` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Python 3.10+** — Python 3.10 or newer
- **MidOS knowledge base** — Clone the midos repo for the local knowledge base Run: `git clone https://github.com/MidOSresearch/midos.git` (https://github.com/MidOSresearch/midos)
Canonical MCP server config (stdio transport):
- command: `uvx`
- args: ["midos-mcp","serve"]
- required environment variables:
- `MIDOS_ROOT`: Path to MidOS installation directory (containing knowledge/ and modules/) (example: `/path/to/midos`)
Note: Same package as midos slug — knowledge library MCP.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.MIDOS_ROOTrequiredPath to MidOS installation.AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Persistent codebase knowledge graph. Survives session restarts and context compaction.
A powerful toolkit for coding, providing semantic retrieval and editing capabilities.