Code Indexer MCP server

The MCP Code Indexer is an intelligent code retrieval tool based on the Model Context Protocol, designed to provide efficient and precise code repository search capabilities for large language models (LLMs). It leverages vector indexing and semantic understanding to help AI better understand and analyze codebases.

Installation

Prerequisites

Before installing the MCP Code Indexer, ensure you have Python installed on your system.

Installation Steps

1. Install required dependencies:

pip install -r requirements.txt

2. Install the tool:

python setup.py install

Configuration

Claude Desktop Configuration

To integrate with Claude Desktop, edit the configuration file located at: %APPDATA%\Claude\claude_desktop_config.json

Add the following configuration:

{
  "mcpServers": {
    "code-indexer": {
      "command": "python",
      "args": ["-m", "server.app"],
      "cwd": "INSTALLATION_DIRECTORY_PATH",
      "env": {},
      "disabled": false,
      "alwaysAllow": []
    }
  }
}

VSCode Extension Configuration

To integrate with VSCode, edit the configuration file at: %APPDATA%\Code\User\globalStorage\rooveterinaryinc.roo-cline\settings\cline_mcp_settings.json

Add the following configuration:

{
  "mcpServers": {
    "code-indexer": {
      "command": "python",
      "args": ["-m", "server.app"],
      "cwd": "INSTALLATION_DIRECTORY_PATH",
      "env": {},
      "disabled": false,
      "alwaysAllow": []
    }
  }
}

Basic Usage

Project Recognition

To identify a project in your workspace:

Use the identify_project tool to recognize the project

Indexing Code

To create searchable indexes of your codebase:

Use the index_project tool to index project code

Searching Code

To search for relevant code snippets:

Use the search_code tool to find related code fragments

Advanced Features

Code Structure Analysis

To get insights into your code's structure:

Use the get_code_structure tool to analyze code organization

Code Quality Assessment

To evaluate the quality of your codebase:

Use the analyze_code_quality tool to assess code quality

Documentation Extraction

To extract documentation from your code:

Use the extract_documentation tool to gather code documentation

Similar Code Detection

To find duplicate or similar code sections:

Use the find_similar_code tool to detect code similarities

Code Metrics

To obtain statistical data about your code:

Use the get_code_metrics tool to retrieve code statistics

Dependency Analysis

To understand project dependencies:

Use the analyze_dependencies tool to examine project dependencies

Use Cases

With Claude Desktop

• Enhanced code understanding
• Intelligent code navigation
• Code quality improvement
• Project dependency management
• Documentation generation assistance

With VSCode Extension

• Real-time code analysis
• Intelligent code recommendations
• Refactoring assistance
• Dependency relationship visualization
• Enhanced team collaboration

How to install this MCP server

For Claude Code

To add this MCP server to Claude Code, run this command in your terminal:

claude mcp add-json "code-indexer" '{"command":"python","args":["-m","server.app"],"cwd":"${workspaceFolder}","env":[],"disabled":false,"alwaysAllow":[]}'

See the official Claude Code MCP documentation for more details.

For Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "code-indexer": {
            "command": "python",
            "args": [
                "-m",
                "server.app"
            ],
            "cwd": "${workspaceFolder}",
            "env": [],
            "disabled": false,
            "alwaysAllow": []
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.

For Claude Desktop

To add this MCP server to Claude Desktop:

1. Find your configuration file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

2. Add this to your configuration file:

{
    "mcpServers": {
        "code-indexer": {
            "command": "python",
            "args": [
                "-m",
                "server.app"
            ],
            "cwd": "${workspaceFolder}",
            "env": [],
            "disabled": false,
            "alwaysAllow": []
        }
    }
}

3. Restart Claude Desktop for the changes to take effect