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Open-Source MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

9,463 servers. Last updated -

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    A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.
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    Enables search capabilities using a Google Custom Search Engine, allowing users to input a search term and retrieve search result titles, links, and snippets, while facilitating integration with other tools for content extraction and advanced search strategies.
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    The Unlicense
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    Provides Google Search functionality for AI models using Gemini's built-in Grounding with Google Search feature, returning real-time web search results with source citations.
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    Apache 2.0
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    Enables Google search functionality through the Google Custom Search API with enterprise-grade security authentication. Supports streamable HTTP transport protocol for real-time search operations with configurable result limits.
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    A Playwright-based tool that performs Google searches and extracts results while bypassing anti-bot mechanisms, providing real-time search capabilities for AI assistants.
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    A Model Context Protocol server that enables AI assistants to perform web searches using Google Search API, returning up to 20 search results in JSON format.
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    Enables AI assistants to perform real-time Google searches with anti-bot protection. Bypasses search engine restrictions using advanced browser automation to extract search results locally without requiring paid API services.
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    MIT License
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    A Model Context Protocol server that enables LLMs to perform web searches using Google's Custom Search API through a standardized interface.
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    MIT License
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    A powerful Model Context Protocol (MCP) server that provides enhanced Google search capabilities with advanced anonymization and anti-detection features.
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    MIT License
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    A Model Context Protocol server that provides web and image search capabilities through Google's Custom Search API, allowing AI assistants like Claude to access current information from the internet.
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    Enables Google search and webpage content extraction via Chrome for macOS, allowing access to both unauthenticated and authenticated content, and integrates with Claude for secure and automated browsing tasks.
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    MIT License
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    An MCP (Model Context Protocol) server that provides Google search capabilities and webpage content analysis tools. This server enables AI models to perform Google searches and analyze webpage content programmatically.
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    An MCP server that provides Google Search functionality with automatic API key rotation and intelligent quota management, enabling natural language search queries with advanced filtering options.
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    A Model Context Protocol server that enables Claude to perform Google Custom Search operations by connecting to Google's search API.
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    This read-only MCP Server allows you to connect to Google Search data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp
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    MIT License
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    A Model Context Protocol server that enables LLM clients like VSCode, Copilot, and Claude Desktop to search the web using Google Programmable Search Engine API.
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    Apache 2.0
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    MCP Server for Google Cloud Healthcare API enables Agentic AI for a variety of FHIR-based digital health solutions, from smarter clinical workflows for Health Systems to Pre-Auth frameworks for Payers!
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    An MCP Server that provides access to Google's Search Console API, allowing users to interact with website search performance data and manage search presence through natural language.
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    Provides Google search capabilities, web content extraction, and screenshot functionality with advanced bot detection avoidance through the MCP protocol.
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    Provides web search capabilities using Google Custom Search API, enabling users to perform searches through a Model Context Protocol server.
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    MIT License
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    A server that enables document searching using Vertex AI with Gemini grounding, improving search results by grounding responses in private data stored in Vertex AI Datastore.
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    Apache 2.0
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    An MCP server that enables natural language interaction with Google's Discovery Engine API, allowing users to search, recommend, and manage data through conversational interfaces.
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    A Model Context Protocol server that enables AI assistants like Claude to read from, append to, and format text in Google Documents programmatically.
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    MIT License
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    A code understanding and generation system designed for Galacean Engine that helps LLMs comprehend the engine architecture and generate high-quality engine code based on user intent.
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    🔍 High-Availability Multi-Engine Search Aggregation MCP Server - Intelligent Failover, Unified API, LLM-Optimized Content Processing.
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    Provides integration with Everything Search Engine allowing powerful file search capabilities through the Model Context Protocol with advanced search options like regex, case sensitivity, and sorting.
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    A Machine Conversation Protocol server that enables AI assistants to manage Google Contacts and search Google Workspace directories, providing tools for listing, creating, updating, and deleting contacts within your Google account.
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    MIT License
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    Enables satellite imagery analysis through Google Earth Engine, allowing users to search datasets, calculate vegetation indices like NDVI, filter collections by location and date, and export imagery to cloud storage. Supports major satellite datasets including Sentinel-2, Landsat, and MODIS for applications like agriculture monitoring and deforestation tracking.
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    MIT License
    • Apple
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    A powerful MCP server that enables parallel Google searching with multiple keywords simultaneously, providing structured results while handling CAPTCHAs and simulating user browsing patterns.
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    MIT License
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    A server that provides access to Google Search Console data through the Model Context Protocol, allowing users to retrieve and analyze search analytics data with customizable dimensions and reporting periods.
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