Myco is an MCP server and CLI for managing a self-maintaining knowledge substrate on the filesystem using markdown and YAML files linked as a graph. It ingests, digests, traverses, validates, and evolves that substrate through a set of verbs exposed to both the CLI and MCP tools.
From the registry: Agent-first cognitive substrate: 20 verbs + 50 lint dims over a self-validating graph.

$ pip install 'myco[mcp]'https://pypi.org/project/myco/$ pipx run --spec 'myco[mcp]' myco-install fresh <your-myco-dir>Please install the `myco` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install Python 3.10+** — Myco requires Python 3.10 or newer. (https://www.python.org/)
- **Install Myco with MCP support** — Preferred portable bootstrap path from the README. This installs Myco with MCP support via pip/pipx tooling. Run: `pip install 'myco[mcp]'` (https://pypi.org/project/myco/)
Optional prerequisites:
- Optional writable kernel bootstrap — The normal install path described by the README bootstraps a writable local clone and editable install using the installer helper. Run: `pipx run --spec 'myco[mcp]' myco-install fresh <your-myco-dir>`
Canonical MCP server config (stdio transport):
- command: `mcp-server-myco`
- args: []
Note: README states any MCP host can run Myco over stdio directly, and Python framework examples use StdioServerParameters(command="mcp-server-myco"). No environment variables are documented for the MCP server. Host-specific helpers like `myco-install host ...` are setup conveniences, not the canonical MCP command shape.
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.Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
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