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A Model Context Protocol (MCP) server that helps large language models index, search, and analyze code repositories with minimal setup
| Date | Stars |
|---|---|
| 2026-07-31 | 989 |
| 2026-08-06 | 992 |
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# Code Index MCP
<div align="center">
[](https://modelcontextprotocol.io)
[](https://www.python.org/)
[](LICENSE)
[](https://github.com/sponsors/johnhuang316)
**Intelligent code indexing and analysis for Large Language Models**
Transform how AI understands your codebase with advanced search, analysis, and navigation capabilities.
</div>
<a href="https://glama.ai/mcp/servers/@johnhuang316/code-index-mcp">
<img width="380" height="200" src="https://glama.ai/mcp/servers/@johnhuang316/code-index-mcp/badge" alt="code-index-mcp MCP server" />
</a>
## Overview
Code Index MCP is a [Model Context Protocol](https://modelcontextprotocol.io) server that bridges the gap between AI models and complex codebases. It provides intelligent indexing, advanced search capabilities, and detailed code analysis to help AI assistants understand and navigate your projects effectively.
**Perfect for:** Code review, refactoring, documentation generation, debugging assistance, and architectural analysis.
## Quick Start
### 🚀 **Recommended Setup (Most Users)**
The easiest way to get started with any MCP-compatible application:
**Prerequisites:** Python 3.10+ and [uv](https://github.com/astral-sh/uv)
1. **Add to your MCP configuration** (e.g., `claude_desktop_config.json` or `~/.claude.json`):
```json
{
"mcpServers": {
"code-index": {
"command": "uvx",
"args": ["code-index-mcp"]
}
}
}
```
> Optional: append `--project-path /absolute/path/to/repo` to the `args` array so the server
> initializes with that repository automatically (equivalent to calling `set_project_path`
> after startup).
2. **Restart your application** – `uvx` automatically handles installation and execution
3. **Start using** (give these prompts to your AI assistant):
```
Set the project path to /Users/dev/my-react-app
Find all TypeScript files in this project
Search for "authentication" functions
Analyze the main App.tsx file
```
*If you launch with `--project-path`, you can skip the first command above - the server already
knows the project location.*
### Codex CLI Configuration
If you are using Anthropic's Codex CLI, add the server to `~/.codex/config.toml`.
On Windows the file lives at `C:\Users\<you>\.codex\config.toml`:
```toml
[mcp_servers.code-index]
type = "stdio"
command = "uvx"
args = ["code-index-mcp"]
```
> You can append `--project-path C:/absolute/path/to/repo` to the `args` list to set the project
> automatically on startup (same effect as running the `set_project_path` tool).
On Windows, `uvx` needs the standard profile directories to be present.
Keep the environment override in the same block so the MCP starts reliably:
```toml
env = {
HOME = "C:\\Users\\<you>",
APPDATA = "C:\\Users\\<you>\\AppData\\Roaming",
LOCALAPPDATA = "C:\\Users\\<you>\\AppData\\Local",
SystemRoot = "C:\\Windows"
}
```
Linux and macOS already expose the required XDG paths and `HOME`, so you can usually omit the `env`
table there.
Add overrides only if you run the CLI inside a restricted container.
### FastMCP & Discovery Manifests
- Run `fastmcp run fastmcp.json` to launch the server via [FastMCP](https://fastmcp.wiki/) with
the correct source entrypoint and dependency metadata. Pass `--project-path` (or call the
`set_project_path` tool after startup) so the index boots against the right repository.
- Serve or copy `.well-known/mcp.json` to share a standards-compliant MCP manifest. Clients that
support the `.well-known` convention (e.g., Claude Desktop, Codex CLI) can import this file
directly instead of crafting configs manually.
- Publish `.well-known/mcp.llmfeed.json` when you want to expose the richer LLM Feed metadata.
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