What is the Model Context Protocol (MCP)?

The MCP is a standard for interacting with different tools through a unified interface, simplifying integration and data access.

Can I access the tools directly, or do I have to use the MCP Gateway?

Yes, each tool can be accessed directly through its own API endpoints, providing flexibility in how you interact with them.

What tools are included in Multi-Service?

Multi-Service includes tools for GitHub, GitLab, Google Maps, memory storage, and Puppeteer, allowing you to interact with these services through a single API gateway.

How does the modular architecture benefit me?

The modular design allows you to easily add or remove tools as needed, tailoring the server to your specific requirements and keeping it lightweight.

What are the benefits of using the MCP Gateway?

The MCP Gateway provides a single, standardized endpoint for all tool requests, simplifying API calls and data handling, leading to easier integration with other applications.

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Multi-Service

Name: Multi-Service
Author: AdamPippert

CreatedAdamPippert

Provides a modular server implementing the Model Context Protocol standard with tools for interacting with GitHub, GitLab, Google Maps, memory storage, and Puppeteer.

NPM Package Github Repo

About

This modular server implements the Model Context Protocol (MCP) standard, acting as a unified gateway for various tools. It offers functionalities like interacting with GitHub and GitLab for repository and issue management, utilizing Google Maps for geocoding and place searching, providing persistent memory storage, and automating web tasks with Puppeteer. Its architecture allows for easy addition or removal of tools as needed, enhancing its adaptability for different use cases. The MCP gateway simplifies tool access, while direct tool access enables more granular control.

Key Features

Modular architecture for easy tool addition and removal.
Includes tools for GitHub, GitLab, Google Maps, Memory Storage, and Puppeteer.
Provides a unified MCP gateway for all tool requests.
Offers direct access to each tool via its own API endpoints.
Implements the Model Context Protocol (MCP) standard.

Use Cases

Automating interactions with GitHub and GitLab repositories.
Integrating Google Maps functionalities like geocoding and directions into AI agents.
Providing persistent memory storage for AI agent data.