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 for AI agents — 19K chunks, 121 skills, semantic search via MCP
$ git clone https://github.com/MidOSresearch/midos.githttps://github.com/MidOSresearch/midosPlease install the `midos` 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 to get 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: Knowledge library MCP. Requires local MidOS repo clone. Free dev tier, paid pro tier.
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.