codegraphcontext 0.1.5

An MCP server that indexes local code into a graph database to provide context to AI assistants.

CodeGraphContext

An MCP server that indexes local code into a graph database to provide context to AI assistants.

Features

• Code Indexing: Analyzes Python code and builds a knowledge graph of its components.
• Relationship Analysis: Query for callers, callees, class hierarchies, and more.
• Live Updates: Watches local files for changes and automatically updates the graph.
• Interactive Setup: A user-friendly command-line wizard for easy setup.

Getting Started

1. Install: pip install codegraphcontext
2. Setup: cgc setup
3. Start: cgc start
4. Index Code: cgc tool add-code-to-graph '{"path": "/path/to/your/project"}'

MCP Client Configuration

Add the following to your MCP client's configuration:

{
  "mcpServers": {
    "CodeGraphContext": {
      "command": "cgc",
      "args": [
        "start"
      ],
      "env": {
        "NEO4J_URI": "************",
        "NEO4J_USER": "************",
        "NEO4J_PASSWORD": "**************"
      },
      "tools": {
        "alwaysAllow": [
          "list_imports",
          "add_code_to_graph",
          "add_package_to_graph",
          "check_job_status",
          "list_jobs",
          "find_code",
          "analyze_code_relationships",
          "watch_directory",
          "find_dead_code",
          "execute_cypher_query"
        ],
        "disabled": false
      },
      "disabled": false,
      "alwaysAllow": []
    }
  }
}

Natural Language Interaction Examples

Once the server is running, you can interact with it through your AI assistant using plain English. Here are some examples of what you can say:

Indexing and Watching Files

• To index a new project:

  • "Please index the code in the /path/to/my-project directory." OR
  • "Add the project at ~/dev/my-other-project to the code graph."

• To start watching a directory for live changes:

  • "Watch the /path/to/my-active-project directory for changes." OR
  • "Keep the code graph updated for the project I'm working on at ~/dev/main-app."

  When you ask to watch a directory, the system performs two actions at once:

  1. It kicks off a full scan to index all the code in that directory. This process runs in the background, and you'll receive a job_id to track its progress.
  2. It begins watching the directory for any file changes to keep the graph updated in real-time.

  This means you can start by simply telling the system to watch a directory, and it will handle both the initial indexing and the continuous updates automatically.

Querying and Understanding Code

• Finding where code is defined:

  • "Where is the process_payment function?"
  • "Find the User class for me."
  • "Show me any code related to 'database connection'."

• Analyzing relationships and impact:

  • "What other functions call the get_user_by_id function?"
  • "If I change the calculate_tax function, what other parts of the code will be affected?"
  • "Show me the inheritance hierarchy for the BaseController class."
  • "What methods does the Order class have?"

• Exploring dependencies:

  • "Which files import the requests library?"
  • "Find all implementations of the render method."

• Code Quality and Maintenance:

  • "Is there any dead or unused code in this project?"