MB_MCP (Model Context Protocol)

MB_MCP (Model Context Protocol)

By bigmb GitHub

mb MCP files

Overview

what is MB_MCP?

MB_MCP (Model Context Protocol) is a Python package designed to integrate various services with Claude and other LLMs using a unified interface, enabling the development of AI-powered applications.

how to use MB_MCP?

To use MB_MCP, clone the repository, install the package, set up your environment variables, and run the web dashboard or use the connectors programmatically.

key features of MB_MCP?

  • Multiple service connectors including Slack, Google Drive, GitHub, Atlassian, and PostgreSQL.
  • A web dashboard for easy querying of services.
  • Environment-based configuration for secure API key management.

use cases of MB_MCP?

  1. Building applications that leverage multiple APIs seamlessly.
  2. Automating workflows across different platforms like Slack and GitHub.
  3. Creating AI-powered tools that interact with various services.

FAQ from MB_MCP?

  • What services does MB_MCP support?

MB_MCP supports services like Slack, Google Drive, GitHub, Atlassian, and PostgreSQL.

  • Is MB_MCP easy to set up?

Yes! Follow the installation instructions to set it up quickly.

  • Can I use MB_MCP for commercial applications?

Yes, MB_MCP is licensed under MIT, allowing for commercial use.

Content

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
CONFLUENCE_USERNAME=your.email@domain.com
CONFLUENCE_API_TOKEN=your_api_token

# For Jira Cloud
JIRA_URL=https://your-domain.atlassian.net
JIRA_USERNAME=your.email@domain.com
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

No tools information available.
No content found.