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by DeusData · MCP Server · ★ 39.5k
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codebase-memory-mcp Stop paying 100x more tokens for code exploration. This MCP server indexes your codebase into a persistent knowledge graph that survives session restarts and context compaction. One graph query returns what would take dozens of grep/Glob calls — precise structural results in 500 tokens vs 80K tokens for file-by-file exploration. Single Go binary. No Docker, no external databases, no API keys. One command to install, say "Index this project" — done. Parses source code with tree-sitter, extracts functions, classes, modules, call relationships, and cross-service HTTP links. Exposes the graph through 14 MCP tools for use with Claude Code, Codex CLI, Cursor, Windsurf, Gemini CLI, VS Code, Zed, or any MCP-compatible client. Also includes a CLI mode for direct tool invocation from the shell — no MCP client needed.
| Stars | 39,472 |
| Forks | 3,173 |
| Language | C |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.6667993049335/100 |
| Open Issues | 461 |
| Last Updated | 2026-08-19 |
| Created | 2026-02-24 |
| Platforms | claude-code, cli, codex, docker, gemini, mcp |
| Est. Tokens | ~22k |
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codebase-memory-mcp is 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. It is categorized as a MCP Server with 39.5k GitHub stars.
codebase-memory-mcp is primarily written in C. It covers topics such as aider, ast, claude-code.
You can find installation instructions and usage details in the codebase-memory-mcp GitHub repository at github.com/DeusData/codebase-memory-mcp. The project has 39.5k stars and 3173 forks, indicating an active community.
codebase-memory-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to codebase-memory-mcp on Agent Skills Hub include awesome-claude-skills, agents, antigravity-awesome-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.