CodeInteliMCP - Intelligent Code Analysis Server

Name: CodeInteliMCP - Intelligent Code Analysis Server
Author: rahulvgmail

@rahulvgmail

CodeInteliMCP - Intelligent Code Analysis Server について

Advanced MCP server for code intelligence with multi-repository support, Tree-sitter parsing, DuckDB graph database, and ChromaDB vector search

#code-analysis #intelligent-code #multi-repository

基本情報

カテゴリ

開発者ツール

ランタイム

python

トランスポート

stdio

公開者

rahulvgmail

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": {
    "CodeInteliMCP": {
      "command": "python",
      "args": [
        "setup_for_claude.py"
      ]
    }
  }
}

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 CodeInteliMCP?

CodeInteliMCP is an advanced MCP (Model Context Protocol) server that combines Tree-sitter parsing with graph databases and vector search for lightning-fast code intelligence across multiple repositories. It is designed for developers who need to analyze, search, and understand codebases through Claude or other MCP-compatible clients.

How to use CodeInteliMCP?

Clone the repository and run the automated setup script (python setup_for_claude.py), or install dependencies manually with pip and add the server configuration to your Claude Desktop config file. Use the provided MCP tools to add repositories, index code, and perform semantic or graph-based searches directly from Claude.

Key features of CodeInteliMCP

Multi-repository support for managing several codebases simultaneously
Instant usage search to find where symbols are used in milliseconds
Semantic code search using vector embeddings
Dependency analysis and impact analysis for code changes
Auto-indexing with smart incremental updates
Multi-language support including Python, JavaScript, TypeScript, Go, Rust

Use cases of CodeInteliMCP

Finding all usages of a function or class across a large project
Searching for code patterns using natural language queries
Visualizing import dependencies and class inheritance trees
Assessing the impact of changing a symbol before making edits
Detecting duplicated or similar code across repositories

FAQ from CodeInteliMCP

What programming languages does CodeInteliMCP support?

It supports Python, JavaScript, TypeScript, Go, Rust, and more via Tree-sitter parsers.

How is code data stored and queried?

Graph relationships (e.g., function calls, imports) are stored in DuckDB, while semantic vectors are stored in ChromaDB.

What are the runtime dependencies?

Required Python packages include mcp, duckdb, chromadb, sentence-transformers, aiofiles, and tree-sitter with language-specific grammars.

How does indexing work?

You can index an entire repository or individual files with tools like index_repository and index_file. Auto-indexing provides smart incremental updates as code changes.

What are the performance targets?

Initial indexing is under 1 minute for 100k lines of code, incremental updates under 1 second per file, usage queries under 50ms, and semantic search under 50ms.

「開発者ツール」の他のコンテンツ

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