An MCP server that enables LLMs to index, search, and analyze code repositories with minimal setup.
code-index-mcp is easy to set up with strong trust signals. Check agent compatibility and use-case fit before adding it to your workflow.
Repository setup guidance
gh repo view johnhuang316/code-index-mcp --webOpen the official README and confirm the supported install method.
Add the server entry to your MCP client config.
Restart your agent and verify that the server tools appear.
This tool helps AI assistants understand your codebase by creating an index of your project. It allows you to search for functions, files, and patterns across your entire repository, making code review and debugging much faster.
Code Index MCP is a Model Context Protocol (MCP) server designed to bridge the gap between large language models and complex codebases. It provides intelligent indexing, advanced search capabilities, and detailed code analysis to help AI assistants understand and navigate projects effectively. The server indexes your repository structure and content, enabling semantic search, file discovery, and function analysis. It supports multiple MCP-compatible clients including Claude Desktop, Codex CLI, and others. Setup is minimal: just add a configuration entry to your MCP client and optionally specify a project path. The tool is ideal for code review, refactoring, documentation generation, debugging assistance, and architectural analysis. It is written in Python and requires Python 3.10+ and uv for installation.
Strong trust signals; still review the README and permissions before production use.
Last commit was about 76 days ago.
958 GitHub stars indicate community interest.
20 open issues signal maintenance load.
MIT license detected.
Quickly find all TypeScript files in a large project
Search for specific functions or patterns across the codebase
Analyze the structure and dependencies of a file
Assist in code review by providing context about the codebase
Generate documentation by extracting function signatures and comments
The server indexes all files in the project path; ensure no sensitive files are included.
Running on untrusted codebases may expose vulnerabilities; use in isolated environments.
958
Stars
114
Forks
20
Issues
MIT
License
Local codebase intelligence CLI and MCP server for AI coding agents with change-safety gates and audit evidence.
An offline MCP server that indexes your codebase for semantic search, code search, and git history retrieval.
Official MCP reference servers from Anthropic. Includes servers for filesystem, GitHub, Postgres, Slack, and more.
An MCP server that enables LLMs to index, search, and analyze code repositories with minimal setup.
AI-assisted developers using MCP-compatible tools, Software engineers working on large codebases, DevOps engineers integrating AI into development workflows
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
The server indexes all files in the project path; ensure no sensitive files are included. Running on untrusted codebases may expose vulnerabilities; use in isolated environments.
Similar or complementary options to evaluate include roam-code, code-memory, MCP Server Collection.
Jun 6, 2026
2 security/trust notes recorded.
Setup difficulty is 2/5.