Code-Index-Mcp

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Code Index MCP is an open-source Model Context Protocol (MCP) server that helps large language models index, search, and analyze code repositories. It provides intelligent code indexing and analysis with minimal setup for AI assistants.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is code-index-mcp?

Code Index MCP is an open-source Model Context Protocol (MCP) server designed to enhance how AI models interact with and understand complex codebases. It offers intelligent indexing, advanced search capabilities, and detailed code analysis, making it ideal for tasks like code review, refactoring, documentation generation, debugging assistance, and architectural analysis. The tool supports 10 core languages with specialized tree-sitter parsing and over 50 additional file types with a fallback strategy, ensuring comprehensive coverage. Key features include real-time monitoring with automatic index updates, persistent caching for performance, and memory-efficient processing optimized for large codebases. It integrates seamlessly with MCP-compatible applications like Claude Desktop and Anthropic's Codex CLI, providing a robust solution for developers looking to leverage AI for code understanding.

Best used for

Ideal for developers who need to enhance AI's understanding of their codebase, perform advanced code searches, and automate tasks like code review and refactoring. Especially valuable for integrating large language models into development workflows for deeper code insights and analysis.

Common actions

index code

search code

analyze code

understand codebases

automate code review

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Capabilities

Key features

Intelligent code indexing
Advanced code search
Detailed code analysis
Multi-language support
Real-time monitoring
Persistent caching
Memory efficient

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What is the Model Context Protocol (MCP) and how does Code Index MCP use it?

The Model Context Protocol (MCP) is a standard for AI tools to interact with codebases. Code Index MCP acts as an MCP server, allowing large language models to index, search, and analyze code repositories through this protocol. This enables AI assistants to understand and navigate projects effectively, facilitating tasks like code review and debugging.

What programming languages does Code Index MCP support for deep analysis?

Code Index MCP provides specialized tree-sitter parsing for 10 core languages, including Python, JavaScript, TypeScript, Java, Kotlin, C#, Go, Objective-C, Zig, and Rust. For over 50 other file types, including C/C++, Ruby, and PHP, it offers a fallback strategy for basic indexing and metadata extraction.

How does Code Index MCP handle changes in the codebase?

Code Index MCP features real-time monitoring with a file watcher that automatically updates the index when files change. It batches rapid changes to prevent excessive rebuilds and performs shallow index refreshes for file list currency. For symbol metadata, a deep rebuild is required.

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