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MCP Server

High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

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2,945 stars C MIT Updated: 2026-06-04

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Copy this prompt and paste it into Claude, Cursor, or any MCP client to install instantly.

Install the Codebase Memory Mcp MCP server for me.

Server: Codebase Memory Mcp
Description: High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
Install command: docker run DeusData/codebase-memory-mcp

GitHub: https://github.com/DeusData/codebase-memory-mcp

Please install this MCP server and confirm when ready.

Paste into any AI agent with MCP support — works with Claude Desktop, Cursor, Cline, and more.

Quick Install

Config file: ~/Library/Application Support/Claude/claude_desktop_config.json

  1. Open Claude Desktop app
  2. Go to Settings → Developer → Edit Config
  3. Paste the config below into the file
  4. Restart Claude Desktop
{
  "mcpServers": {
    "codebase-memory-mcp": {
      "command": "docker",
      "args": [
        "run",
        "DeusData/codebase-memory-mcp"
      ]
    }
  }
}

Add this to your ~/Library/Application Support/Claude/claude_desktop_config.json

Installation Methods

docker Run with Docker
docker run DeusData/codebase-memory-mcp

Tools (1)

execute

Execute codebase-memory-mcp operations

Compatibility

Claude Desktop
Cursor
Cline
VS Code
Devin (formerly Windsurf)

About

codebase-memory-mcp

Overview

High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

Installation

DOCKER

docker run DeusData/codebase-memory-mcp

Related Resources

Mcp

MCP Server

Catalog of official Microsoft MCP (Model Context Protocol) server implementations for AI-powered data access and tool integration

MCP Tool Orchestrator

Prompt

Design and orchestrate complex multi-tool workflows using the Model Context Protocol (MCP). Build intelligent agent systems that coordinate multiple MCP servers for sophisticated automation tasks.

MCP Client Developer

Skill

Build Model Context Protocol clients to connect AI assistants with external tools and data sources. Master the protocol for seamless AI-tool integration.

MCP

Glossary

MCP stands for Model Context Protocol. It is an open standard that lets AI clients connect to external tools, data sources, and prompts through a single, consistent interface. Anthropic introduced MCP in late 2024, and it has since been adopted by Claude Desktop, Cursor, Cline, VS Code, Windsurf, and a growing list of community clients. An MCP server is a small program that exposes three things: tools the model can call, resources the client can read, and prompts that help users accomplish common tasks. An MCP client discovers those capabilities and decides when to invoke them. Transport is usually stdio for local servers or Server-Sent Events for remote ones. For developers, MCP removes the need to build a custom integration for every API. You write one server, and any compatible client can use it. For users, it means AI assistants can securely access files, databases, SaaS tools, and web services without each client reinventing the wheel.

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Compare LLM Pricing

This server works with Claude, GPT-4o, and other models. Compare API costs side-by-side to find the cheapest option for your workflow.