Codebase Memory MCP

Name: Codebase Memory MCP
Author: DeusData

by DeusData

High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 66 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

40.0k 6 tools GitHub

No known CVEs

MIT license

Actively maintained

Last commit 1d ago

Works with most clients

Transport: stdio, sse, http

6 tools · ~365 tok

Grade A · 0.2% of 200K ctx

MCPpedia last refreshed this data 21h ago

Edit this pageView history

Codebase Memory MCP is an MCP server that high-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 66 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 77/100 on MCPpedia's security, maintenance and efficiency rubric.

Developer Tools AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "codebase-memory-mcp": {
      "args": [],
      "command": "/path/to/codebase-memory-mcp"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/codebase-memory-mcp)](https://mcppedia.org/s/codebase-memory-mcp)

Read me

What Codebase Memory Mcp does

The fastest and most efficient code intelligence engine for AI coding agents. Full-indexes an average repository in milliseconds, the Linux kernel (28M LOC, 75K files) in 3 minutes. Answers structural queries in under 1ms. Ships as a single static binary for macOS, Linux, and Windows — download, run install, done.

Test This Server

This server supports HTTP transport. Be the first to test it — help the community know if it works.

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

77/100across 5 weighted dimensions

How we score →

0255075100

−23

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Inventory

Tools (6)

Click any tool to inspect its schema.

~365 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Codebase Memory Mcp safe to use?: Codebase Memory Mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.
How do I install Codebase Memory Mcp?: Codebase Memory Mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can Codebase Memory Mcp do?: Codebase Memory Mcp provides 6 tools: get_architecture, manage_adr, detect_changes, search_graph, trace_call_path and 1 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Codebase Memory Mcp?: Codebase Memory Mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is Codebase Memory Mcp actively maintained?: Codebase Memory Mcp is actively maintained — last commit was 1 day ago. It has 40,010 GitHub stars.

Similar servers

Others in developer-tools / ai-ml

View all →

Context797

Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors

61.1k 2

XcodeBuildMCP97

A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.

6.3k 2

XcodeBuildMCP97

XcodeBuildMCP provides tools for Xcode project management, simulator management, and app utilities.

6.3k 1

Dsh MCP Client97

MCP client bridge: connects to MCP servers and registers their tools on ctx.tools

186.4k 4

MCP Security Weekly

Get CVE alerts and security updates for Codebase Memory Mcp and similar servers.

Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

codebase-memory-mcp

The fastest and most efficient code intelligence engine for AI coding agents. Full-indexes an average repository in milliseconds, the Linux kernel (28M LOC, 75K files) in 3 minutes. Answers structural queries in under 1ms. Ships as a native executable with a small verified runtime-asset set for macOS, Linux, and Windows — download, run install, done.

High-quality parsing through tree-sitter AST analysis across all 158 languages, enhanced with Hybrid LSP semantic type resolution for Python, TypeScript / JavaScript / JSX / TSX, PHP, C#, Go, C, C++, Java, Kotlin, Rust, and Perl — producing a persistent knowledge graph of functions, classes, call chains, HTTP routes, and cross-service links. 15 MCP tools. No language runtime, hosted service, or API key. Plug and play across 43 supported automatic/conditional client surfaces.

Research — The design and benchmarks behind this project are described in the preprint Codebase-Memory: Tree-Sitter-Based Knowledge Graphs for LLM Code Exploration via MCP (arXiv:2603.27277). Evaluated across 31 real-world repositories: 83% answer quality, 10× fewer tokens, 2.1× fewer tool calls vs. file-by-file exploration.

Security & Trust — This tool reads your codebase and writes to your agent configuration files. That is what it is designed to do. If you prefer to audit before running, the full source is here. For each release product, three behaviourally identical executable candidates (unstripped, debug-stripped, stripped) are submitted to VirusTotal before testing; the selected candidate is then packaged with its SHA-256 unchanged. Release notes link every measured candidate result. Publication permits only the narrowly documented single-Microsoft !ml tolerance in SECURITY.md. All processing happens 100% locally; your code never leaves your machine. Found a security issue? We want to know — see SECURITY.md. Security is Priority #1 for us.

Graph visualization UI showing the codebase-memory-mcp knowledge graph

Frequently Asked Questions

Is Codebase Memory Mcp safe to use?

Codebase Memory Mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.

How do I install Codebase Memory Mcp?

Codebase Memory Mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can Codebase Memory Mcp do?

Codebase Memory Mcp provides 6 tools: get_architecture, manage_adr, detect_changes, search_graph, trace_call_path and 1 more. See the full tools list on the server page for descriptions and parameters.

What AI clients work with Codebase Memory Mcp?

Codebase Memory Mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is Codebase Memory Mcp actively maintained?

Codebase Memory Mcp is actively maintained — last commit was 1 day ago. It has 40,010 GitHub stars.

codebase-memory-mcp

Research — The design and benchmarks behind this project are described in the preprint Codebase-Memory: Tree-Sitter-Based Knowledge Graphs for LLM Code Exploration via MCP (arXiv:2603.27277). Evaluated across 31 real-world repositories: 83% answer quality, 10× fewer tokens, 2.1× fewer tool calls vs. file-by-file exploration.

Security & Trust — This tool reads your codebase and writes to your agent configuration files. That is what it is designed to do. If you prefer to audit before running, the full source is here. For each release product, three behaviourally identical executable candidates (unstripped, debug-stripped, stripped) are submitted to VirusTotal before testing; the selected candidate is then packaged with its SHA-256 unchanged. Release notes link every measured candidate result. Publication permits only the narrowly documented single-Microsoft !ml tolerance in SECURITY.md. All processing happens 100% locally; your code never leaves your machine. Found a security issue? We want to know — see SECURITY.md. Security is Priority #1 for us.

... View full README on GitHub