fetcher.sh
Twitter/X, YouTube, Reddit, Google and more - 100+ endpoints in total. No account, no OAuth, no subscription. Pay per call in USDC, or top up once and spend one balance across all of them.
Documentation
基本情報
[
カテゴリ
その他
](https://chat.mcp.so/ja/servers?category=other)
トランスポート
stdio
作者
Jakedismo
[
投稿者
Saijani Super
](https://chat.mcp.so/ja/u/e50d8b10-5fdf-4a93-8d4b-193ca0529c9c)
Codegraph Rust MCP Server について
🎯 Overview
#graphrag #coderag #fast #code-analysis
Codegraph Rust MCP Server の設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"codegraph": {
"command": "codegraph",
"args": [
"start",
"stdio"
],
"env": {
"CODEGRAPH_CONFIG": "~/.codegraph/config.toml"
}
}
}
}
Codegraph Rust MCP Server のツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is Codegraph Rust?
Codegraph Rust is a CLI tool that combines MCP (Model Context Protocol) server management with advanced code analysis. It indexes projects, manages embeddings, and runs MCP servers with multiple transport options, supporting languages like Rust, Python, JavaScript, TypeScript, Go, Java, and C++.
How to use Codegraph Rust?
Install and run via CLI. Use commands for project indexing, MCP server management (STDIO, HTTP, or both simultaneously), code search (semantic, exact, fuzzy, regex, AST), and architecture analysis. Specific configuration options include embedding models, performance tuning, and background daemon mode with PID management.
Key features of Codegraph Rust
- Multi-language code parsing with Tree-sitter
- Dual transport support: STDIO and HTTP streaming
- Vector search with FAISS-powered embeddings
- Graph-based architecture with RocksDB storage
- High performance: 170K lines in 0.49 seconds
- Incremental indexing with file watching
Use cases of Codegraph Rust
- Index large codebases and perform semantic search across multiple languages
- Run MCP servers in STDIO, HTTP, or dual mode for flexible agent integration
- Analyze component relationships, dependencies, and code patterns
- Build a deep code knowledge synthesis system with an agent
よくある質問
1
What languages does Codegraph Rust support?
It supports Rust, Python, JavaScript, TypeScript, Go, Java, and C++.
2
What transport options are available for MCP servers?
STDIO, HTTP streaming with SSE, or both simultaneously. Background daemon mode with PID management is also supported.
3
How fast is code indexing?
Parsing 170K lines of Rust code takes about 0.49 seconds; generating 21,024 embeddings takes about 3 minutes 24 seconds on an M3 Pro with Qdrant/all-MiniLM-L6-v2-onnx (CPU, no Metal acceleration).
4
Does Codegraph Rust support incremental indexing?
Yes, it supports incremental indexing with file watching and smart caching.
5
What kind of code search is available?
Semantic search using embeddings, exact match, fuzzy search, regex, and AST-based queries with configurable similarity thresholds.