Leankg
@FreePeak
关于 Leankg
A local, Rust-based Knowledge Graph MCP server. Cuts AI coding token usage by up to 98% by intelligently querying your codebase instead of sending full files.
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"leankg": {
"command": "leankg",
"args": [
"start",
"--mcp"
]
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is LeanKG?
LeanKG is a local Knowledge Graph powered by Rust and Tree-sitter that indexes your codebase and uses the Model Context Protocol (MCP) to feed your AI assistant only the exact structural context it needs. It is built for developers who want to drastically reduce token usage (up to 98% drop) and avoid sending entire files or repositories to cloud-based AI tools.
How to use LeanKG?
Visit the LeanKG GitHub repository for full installation instructions, benchmarks, and supported languages. After installation, the MCP server exposes tools that your AI assistant can invoke — no additional configuration steps beyond connecting it to an MCP-compatible host (e.g., Claude Desktop, Cursor, Windsurf, OpenCode).
Key features of LeanKG
- Reduces token usage by up to 98% (from ~10,000+ to ~40 tokens per query).
- 100% local execution — runs securely on your machine with Rust and CozoDB.
- Deep code understanding via Graph RAG, including call graphs and circular dependencies.
- Universal MCP support for any MCP-compatible AI host.
- Provides tools like
analyze_dependenciesandextract_signatures.
Use cases of LeanKG
- Slash API costs when interacting with large codebases in Claude or Cursor.
- Quickly understand call graphs and dependencies without reading entire files.
- Extract precise function signatures and types for documentation or refactoring.
- Avoid leaking proprietary code by keeping indexing entirely local.
FAQ from LeanKG
How does LeanKG reduce token usage?
It uses Graph RAG to extract precise function signatures, dependencies, and variables instead of sending entire files or repositories.
Is my code ever uploaded to an external server?
No. LeanKG runs entirely on your local machine; your repository is never blindly uploaded.
Which AI tools are compatible with LeanKG?
LeanKG supports any MCP-compatible host, including Claude Desktop, Cursor, Windsurf, and OpenCode.
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