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Multi-MCP AI Agent

@aviban15

Repository

Basic information

Category

AI & Agents

License

MIT license

Transports

stdio

Author

aviban15

About Multi-MCP AI Agent

An AI agent which utilizes multiple MCP servers, including internal tools like math tools, and external tools like Google services and web scraping.

#mathgpt#math-solver#math-assistant

Multi-MCP AI Agent config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "multi-mcp-agent": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Multi-MCP AI Agent tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Multi-MCP AI Agent?

An agentic AI system that coordinates multiple MCP (Model Control Protocol) servers to deliver capabilities ranging from basic math to Google Workspace and web scraping. It includes a Telegram bot interface and Server-Sent Events (SSE) for real-time communication, targeting developers building modular AI agents.

How to use Multi-MCP AI Agent?

After cloning the repository, create a virtual environment with uv venv, activate it, install dependencies with uv sync, and set up environment variables for Gemini API key, Telegram bot token, and Google OAuth credentials. Start the agent with uv run agent.py or the Telegram bot server with uv run telegram_sse_server.py. Configure MCP servers in config/profiles.yaml and models in config/models.json.

Key features of Multi-MCP AI Agent

  • Multi-MCP architecture for distributed processing
  • Cognitive modules: perception, memory, decision, action
  • Google Workspace integration (Gmail, Drive, Sheets)
  • Web scraping, content extraction, DuckDuckGo search
  • Real-time Telegram bot and SSE communication
  • Session handling, context management, strategic decision making

Use cases of Multi-MCP AI Agent

  • Automating document processing with semantic search and content extraction
  • Fetching real-time data from web searches and Google Workspace
  • Building a conversational assistant with Telegram bot interface
  • Orchestrating multiple MCP services for complex multi-step tasks

Frequently asked questions

1

What external services does Multi-MCP AI Agent integrate with?

It integrates with Google Workspace (Gmail, Google Drive, Google Sheets), DuckDuckGo search, and web scraping/content extraction services.

2

What are the prerequisites to run Multi-MCP AI Agent?

Python 3.11+, UV package manager, a Telegram Bot Token (for bot functionality), and Google Cloud credentials (for Google Workspace integration).

3

How do I start the agent and the Telegram server?

Use `uv run agent.py` for the main agent and `uv run telegram_sse_server.py` to start the Telegram bot server with SSE support.

4

Which MCP servers are included in Multi-MCP AI Agent?

Four servers: Basic Operations (math, image processing, file ops), Document Processing (indexing, search, content extraction, image captioning), Web Integration (DuckDuckGo search, web content fetching, rate-limited requests), and Google Workspace (Gmail, Sheets, Drive, URL scraper).

5

Does Multi-MCP AI Agent support real-time communication?

Yes, through a Telegram bot interface and Server-Sent Events (SSE) for live event streaming and updates.

Comments

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