agentmako is a local-first MCP server and CLI that indexes a codebase, builds local SQLite-backed facts, and returns structured project context for coding agents. It also supports optional database schema awareness, review notes, and a local dashboard, all without requiring a hosted service.
From the registry: Local-first codebase intelligence MCP server for AI coding agents.

$ npm install -g agentmakohttps://www.npmjs.com/package/agentmako$ agentmako connect . --no-db$ agentmako connect .Please install the `agentmako` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install Node.js 20 or newer** — Agentmako requires Node.js 20+. (https://nodejs.org/)
- **Install agentmako CLI** — Install the published agentmako package globally so the `agentmako` command is available on your PATH. Run: `npm install -g agentmako` (https://www.npmjs.com/package/agentmako)
- **Attach and index your project** — From the project you want Agentmako to understand, connect the repository before using the MCP server. The README recommends `--no-db` for the first run. Run: `agentmako connect . --no-db`
Optional prerequisites:
- Optional database setup — If you want Postgres/Supabase awareness, run interactive connect or provide a database URL via an environment variable during setup. This is not required for basic MCP usage. Run: `agentmako connect .`
Canonical MCP server config (stdio transport):
- command: `agentmako`
- args: ["mcp"]
Note: The README's MCP configuration uses the stdio server entry `agentmako mcp`. No MCP-specific environment variables are required for the default setup. Database-related configuration is handled during `agentmako connect` setup rather than via the MCP client config.
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.DATABASE_URLrequiredUsed for scripted or CI setup to connect Mako to a Postgres/Supabase database.Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
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