MB_MCP (Model Context Protocol)

MB_MCP (Model Context Protocol)

A Python package for integrating various services with Claude and other LLMs using the Model Context Protocol (MCP).

Overview

MB_MCP provides connectors for various services like Slack, Google Drive, GitHub, Atlassian, PostgreSQL, and more. It allows you to build applications that leverage these services through a unified interface, making it easy to create powerful AI-powered applications.

Features

• Multiple Service Connectors:

  • Slack
  • Google Drive
  • GitHub
  • Atlassian (Confluence & Jira)
  • PostgreSQL
  • Brave Search
  • Formatter

• Web Dashboard: A simple web interface for querying the services

• Environment-based Configuration: All API keys and credentials are stored in a .env file for security

Installation

Prerequisites

• Python 3.8 or higher
• Docker (for running some of the services)

Setup

1. Clone the repository:

   git clone https://github.com/bigmb/mb_mcp.git
   cd mb_mcp
   

2. Install the package:

   pip install -e .
   

3. Set up environment variables:

   cp .env.example .env
   

   Edit the .env file and add your API keys and credentials.

Configuration

The following environment variables need to be set in the .env file:

API Keys

ANTHROPIC_API_KEY=your_anthropic_api_key
OPENAI_API_KEY=your_openai_api_key
GOOGLE_API_KEY=your_google_api_key

Slack Configuration

SLACK_BOT_TOKEN=your_slack_bot_token
SLACK_APP_TOKEN=your_slack_app_token
SLACK_TEAM_ID=your_slack_team_id

PostgreSQL Configuration

POSTGRES_HOST=localhost
POSTGRES_PORT=5432
POSTGRES_USER=postgres
POSTGRES_PASSWORD=postgres
POSTGRES_DB=postgres
PG_CONNECTION_STRING=postgresql://host.docker.internal:5432/mydb

Google Drive Configuration

GDRIVE_CREDENTIALS_PATH=/path/to/your/gdrive/credentials.json

GitHub Configuration

GITHUB_PERSONAL_ACCESS_TOKEN=your_github_token

Atlassian Configuration

# For Confluence Cloud
CONFLUENCE_URL=https://your-domain.atlassian.net/wiki
[email protected]
CONFLUENCE_API_TOKEN=your_api_token

# For Jira Cloud
JIRA_URL=https://your-domain.atlassian.net
[email protected]
JIRA_API_TOKEN=your_api_token

Brave Search Configuration

BRAVE_API_KEY=your_brave_api_key

Usage

Running the Web Dashboard

python -m mb_mcp.app

This will start a Flask server on http://localhost:5000 where you can interact with the services.

Using the Connectors Programmatically

import asyncio
from mb_mcp.slack_connecter import run_app as run_slack_app

async def main():
    question = "Provide the recent updates in the channel in proper format: <channel_id>"
    result = await run_slack_app(question)
    print(result['messages'][-1].content)

if __name__ == "__main__":
    asyncio.run(main())

Development

Project Structure

• mb_mcp/: Main package directory
  • app.py: Flask web application
  • *_connecter.py: Connector modules for different services
  • formatter_server.py: Local MCP server for text formatting
• query_dashboard/: Web dashboard frontend
• servers/: MCP server implementations. From here, the docker image is built. mcp_servers (Anthropic MCP's servers)

License

MIT