claude-context-mcp/python

Python → TypeScript Code Context Bridge

A simple utility to call TypeScript Code Context methods from Python.

What's This?

This directory contains a basic bridge that allows you to run Code Context TypeScript functions from Python scripts. It's not a full SDK - just a simple way to test and use the TypeScript codebase from Python.

Files

• ts_executor.py - Executes TypeScript methods from Python
• test_codecontext.ts - TypeScript test script with Code Context workflow
• test_endtoend.py - Python script that calls the TypeScript test

Prerequisites

# Make sure you have Node.js dependencies installed
cd .. && pnpm install

# Set your OpenAI API key (required for actual indexing)
export OPENAI_API_KEY="your-openai-api-key"

# Optional: Set Milvus address (defaults to localhost:19530)
export MILVUS_ADDRESS="localhost:19530"

Quick Usage

# Run the end-to-end test
python test_endtoend.py

This will:

1. Create embeddings using OpenAI
2. Connect to Milvus vector database
3. Index the packages/core/src codebase
4. Perform a semantic search
5. Show results

Manual Usage

from ts_executor import TypeScriptExecutor

executor = TypeScriptExecutor()
result = executor.call_method(
    './test_codecontext.ts',
    'testCodeContextEndToEnd',
    {
        'openaiApiKey': 'sk-your-key',
        'milvusAddress': 'localhost:19530',
        'codebasePath': '../packages/core/src',
        'searchQuery': 'vector database configuration'
    }
)

print(result)

How It Works

1. ts_executor.py creates temporary TypeScript wrapper files
2. Runs them with ts-node
3. Captures JSON output and returns to Python
4. Supports async functions and complex parameters

That's it! This is just a simple bridge for testing purposes.