Cuemap MCP server

CueMap MCP Server v0.7.3

A premium MCP bridge for explainable, repository-aware agent memory.

The Model Context Protocol (MCP) server for CueMap, allowing AI coding assistants (like Claude Desktop, Cursor, Windsurf, and Antigravity) to instantly recall codebase context using the CueMap engine.

For agent-facing operating guidance—including repository consent, supported content types, recall modes, accuracy-oriented knob selection, and troubleshooting—see SKILL.md.

Zero-Config Deployment

The CueMap MCP Server is designed to work completely out-of-the-box. When started, it automatically manages a high-performance Rust instance of the CueMap Server in the background. The v0.7.3 engine bundles qint8 MiniLM-L3 by default and q4 MiniLM-L3 for the edge profile; no model download occurs at runtime.

You do not need to install or run the CueMap CLI manually. The correct pre-compiled binary for your operating system is automatically downloaded via optional NPM dependencies. Embedded startup supports Linux x64/ARM64, macOS x64/ARM64, and Windows x64.

Installation

# Global installation makes the `cuemap-mcp` command available
npm install -g cuemap-mcp

(Note: Ensure your package manager is configured to download optionalDependencies so the local Rust binary is included).

Agent Plugin

CueMap also ships a separate cuemap-agent-plugin package for Agent Plugins-compatible clients. It bundles the portable plugin.json manifest, stdio mcp.json configuration, and a repository-memory skill. The plugin launches this MCP server at the matching release version and must be installed or downloaded separately from cuemap-mcp.

Configuration (Environment Variables)

By default, the embedded engine runs on port 8735. You can customize the server behavior by passing the following environment variables in your MCP configuration:

• CUEMAP_PORT: Override the port the embedded engine binds to (default: 8735).
• CUEMAPCONFIGPATH: Absolute path to a custom server_config.toml to configure advanced Engine tuning, background jobs, and RAG search parameters.
• CUEMAP_URL: If you prefer to bypass the embedded engine and connect to a remotely hosted or separately running CueMap server, specify its URL here (e.g. http://localhost:8735).
• CUEMAP_PROJECT: Override the default project. Without this setting, CueMap derives a stable repository-scoped project from the current Git remote or working directory.
• CUEMAPLOGPATH: Override the embedded engine log path. It defaults to ~/.cuemap/server.log, which is the file read by cuemap logs.

Server lifecycle

The MCP server calls EmbeddedCueMap.start() as soon as Codex launches the plugin process, before any CueMap tool is invoked. It attaches to a compatible engine already listening at CUEMAPURL or the configured port; otherwise it starts and owns a local engine automatically. cuemapinit does not start the server—it previews or applies a confirmed repository scope after the engine is ready. An engine owned by the MCP process is stopped gracefully when that process exits.

Using with AI Agents

Shortened. The full README is on GitHub.