# Codebase Memory MCP — Code Knowledge Graph Server

> High-performance MCP server that indexes codebases into persistent knowledge graphs. Supports 66 languages, sub-millisecond queries, and claims 99% fewer tokens than raw file context. 1,100+ stars.

## Install

Merge the JSON below into your `.mcp.json`:

## Quick Use

Add to your `.mcp.json`:

```json
{
  "mcpServers": {
    "codebase-memory": {
      "command": "npx",
      "args": ["-y", "codebase-memory-mcp"]
    }
  }
}
```

Restart Claude Code. The server automatically indexes your project on first use. Ask: "What does the authentication module do?" or "Find all API endpoints."

---

## Intro

Codebase Memory MCP is a high-performance Model Context Protocol server that indexes entire codebases into a persistent knowledge graph with 1,100+ GitHub stars. It supports 66 programming languages, delivers sub-millisecond queries, and uses 99% fewer tokens compared to dumping raw files into context. Ships as a single static binary with zero dependencies. Best for developers working on large codebases who need their AI agent to understand project architecture without burning the context window. Works with: Claude Code, Cursor, Windsurf, any MCP client. Setup time: under 1 minute.

---

## How It Works

### Automatic Indexing
On first connection, Codebase Memory scans your project and builds a knowledge graph of:
- File structure and dependencies
- Function/class definitions and relationships
- Import chains and module boundaries
- Code patterns and conventions

### Smart Context Retrieval
Instead of dumping entire files into the LLM context, Codebase Memory returns precisely the relevant code snippets:

```
User: "How does the payment processing work?"
Agent: [queries knowledge graph] → returns only payment-related functions,
       their dependencies, and data flow — not entire files
```

### 66 Language Support
Built on Tree-sitter parsers for accurate AST analysis across languages:
TypeScript, Python, Go, Rust, Java, C++, Ruby, PHP, Swift, Kotlin, and 56 more.

### Persistent Graph
The knowledge graph persists between sessions. Re-indexing only processes changed files:

```
First index: ~30 seconds for a 100K LOC project
Subsequent: <1 second (incremental)
```

### Query Capabilities

```
"What functions call the createUser method?"
"Show the data flow from API request to database"
"Find all error handling patterns in the codebase"
"What are the dependencies of the auth module?"
```

### Key Stats
- 1,100+ GitHub stars
- 66 programming languages supported
- Sub-millisecond query response
- 99% token reduction vs raw file context
- Single static binary, zero dependencies
- ~210K total downloads

### FAQ

**Q: What is Codebase Memory MCP?**
A: It is an MCP server that indexes your codebase into a persistent knowledge graph, letting AI agents understand project architecture and retrieve precise code context without reading entire files.

**Q: Is Codebase Memory MCP free?**
A: Yes, open-source under Apache 2.0 license. All indexing runs locally.

**Q: How much faster is it than raw file context?**
A: It uses 99% fewer tokens by returning only relevant code snippets instead of entire files. Queries return in sub-millisecond time.

---

## Source & Thanks

> Created by [DeusData](https://github.com/DeusData). Licensed under Apache 2.0.
>
> [codebase-memory-mcp](https://github.com/DeusData/codebase-memory-mcp) — ⭐ 1,100+

Thanks to DeusData for making large codebase navigation effortless for AI agents.

---

<!-- ZH -->

## 快速使用

将以下配置添加到 `.mcp.json`:

```json
{
  "mcpServers": {
    "codebase-memory": {
      "command": "npx",
      "args": ["-y", "codebase-memory-mcp"]
    }
  }
}
```

重启 Claude Code，服务器自动索引你的项目。

---

## 简介

Codebase Memory MCP 是一个高性能 MCP 服务器，将整个代码库索引为持久知识图谱，GitHub 1,100+ stars。支持 66 种编程语言，亚毫秒查询，比原始文件上下文节省 99% token。单个静态二进制文件，零依赖。适合在大型代码库上工作、需要 AI Agent 理解项目架构而不浪费上下文窗口的开发者。

---

## 来源与感谢

> Created by [DeusData](https://github.com/DeusData). Licensed under Apache 2.0.
>
> [codebase-memory-mcp](https://github.com/DeusData/codebase-memory-mcp) — ⭐ 1,100+

---
Source: https://tokrepo.com/en/workflows/0f381b11-cd15-40db-89c5-293d07a36dea
Author: MCP Hub