Track MCP LogoTrack MCP
Track MCP LogoTrack MCP

The world's largest repository of Model Context Protocol servers. Discover, explore, and submit MCP tools.

Product

  • Categories
  • Top MCP
  • New & Updated
  • Submit MCP

Company

  • About

Legal

  • Privacy Policy
  • Terms of Service
  • Cookie Policy

© 2026 TrackMCP. All rights reserved.

Built with ❤️ by Krishna Goyal

    Mcp Haystack Google Maps

    Demo for using MCP Servers in a Haystack Pipeline

    0 stars
    Jupyter Notebook
    Updated Apr 24, 2025

    Table of Contents

    • Overview
    • Features
    • Installation
    • Quick Start
    • Running the Google Maps MCP Server
    • Connecting to the Server

    Table of Contents

    • Overview
    • Features
    • Installation
    • Quick Start
    • Running the Google Maps MCP Server
    • Connecting to the Server

    Documentation

    MCP Haystack Demo

    A Haystack integration connecting to MCP servers with a focus on Google Maps API integration.

    Overview

    This project implements MCPServer, a Haystack Toolset that connects to remote MCP servers and dynamically loads available tools. The implementation is based on the recently added Toolset abstraction in Haystack (https://github.com/deepset-ai/haystack/pull/9161).

    Features

    • Connect to remote MCP servers using SSE (Server-Sent Events)
    • Dynamically discover and load available tools
    • Seamless integration with Haystack pipelines

    Installation

    Use uv to install the dependencies.

    Quick Start

    Check the demo notebook for a complete example connecting to a Google Maps MCP server.

    Running the Google Maps MCP Server

    bash
    docker run -it --rm -p 8000:8000 -e GOOGLE_MAPS_API_KEY=$GOOGLE_MAPS_API_KEY supercorp/supergateway \
        --stdio "npx -y @modelcontextprotocol/server-google-maps" \
        --port 8000

    Connecting to the Server

    python
    from haystack.tools import MCPServer, SSEServerInfo
    from haystack.components.tools import ToolInvoker
    
    # Create server info
    server_info = SSEServerInfo(
        base_url="http://localhost:8000",
    )
    
    # Create the MCP server toolset
    mcp_server = MCPServer(server_info=server_info)
    
    # Use the toolset with a ToolInvoker or ChatGenerator component
    invoker = ToolInvoker(tools=mcp_server)

    Similar MCP

    Based on tags & features

    • CH

      Chuk Mcp Linkedin

      Python00
    • MC

      Mcp Wave

      TypeScript00
    • GL

      Glm Mcp Server

      TypeScript·
      3
    • PU

      Pursuit Mcp

      Python00

    Trending MCP

    Most active this week

    • PL

      Playwright Mcp

      TypeScript·
      22.1k
    • SE

      Serena

      Python·
      14.5k
    • MC

      Mcp Playwright

      TypeScript·
      4.9k
    • MC

      Mcp Server Cloudflare

      TypeScript·
      3.0k
    View All MCP Servers

    Similar MCP

    Based on tags & features

    • CH

      Chuk Mcp Linkedin

      Python00
    • MC

      Mcp Wave

      TypeScript00
    • GL

      Glm Mcp Server

      TypeScript·
      3
    • PU

      Pursuit Mcp

      Python00

    Trending MCP

    Most active this week

    • PL

      Playwright Mcp

      TypeScript·
      22.1k
    • SE

      Serena

      Python·
      14.5k
    • MC

      Mcp Playwright

      TypeScript·
      4.9k
    • MC

      Mcp Server Cloudflare

      TypeScript·
      3.0k