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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.

10,654 servers. Last updated -

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Matching MCP servers:

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    A Model Context Protocol server that connects to Google Cloud services, allowing users to query logs, interact with Spanner databases, and analyze Cloud Monitoring metrics through natural language interaction.
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    Apache 2.0
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    Enables validation and dry-run analysis of BigQuery SQL queries without execution. Provides cost estimates, schema previews, and syntax validation for BigQuery queries.
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    A Model Context Protocol server that enables LLMs to understand BigQuery dataset structures and execute SQL queries.
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    A Model Context Protocol server that provides access to BigQuery. This server enables LLMs to inspect database schemas and execute queries.
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    MIT License
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    This is a server that lets your LLMs (like Claude) talk directly to your BigQuery data! Think of it as a friendly translator that sits between your AI assistant and your database, making sure they can chat securely and efficiently.
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    A server that enables executing and validating SQL queries against Google BigQuery with safety features that prevent data modifications and excessive processing.
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    This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Oracle Service Cloud (beta): https://www.cdata.com/download/download.aspx?sku=KOZK-V&type=beta
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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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    This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Salesforce Data Cloud (beta): https://www.cdata.com/download/download.aspx?sku=LRZK-V&type=beta
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    Real-time hydrological information retrieval service that provides water level, precipitation, dam discharge data, and observatory location information.
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    Apache 2.0
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    Enables interaction with multiple Google services including Maps, Finance, Flights, Gmail, and Calendar through a unified interface. Provides comprehensive access to geocoding, stock data, flight information, email management, and calendar operations.
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    This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Google Data Catalog (beta): https://www.cdata.com/download/download.aspx?sku=HGZK-V&type=beta
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    An MCP Server that enables interaction with Google Cloud's Data Loss Prevention (DLP) API, allowing users to discover, classify, and protect sensitive data through natural language commands.
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    Provides an interface to access Google Analytics Data API through Model Context Protocol (MCP), allowing users to retrieve reports and realtime data from Google Analytics 4 properties.
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    Provides GPU-accelerated gradient boosting model training and inference through a cloud service. Enables AI agents to train models on NVIDIA A10G GPUs and get fast cached predictions with portable model artifacts.
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    An MCP server that enables querying and interacting with Google Cloud services including Logging, Spanner, Monitoring, and Cloud Trace through natural language.
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    Enables MCP-compatible AI agents to deploy applications to Google Cloud Run by providing tools for deploying code, listing services, and managing Google Cloud projects.
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    Apache 2.0
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    An MCP server that provides access to Google Cloud Monitoring API, enabling interaction with cloud resources monitoring data through natural language commands.
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    An MCP Server that enables interaction with Google's Service Usage API, allowing management and control of which Google Cloud Platform APIs and services are enabled for a project.
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    A Model Context Protocol server that connects to Google Cloud services, allowing users to query logs, interact with Spanner databases, and analyze monitoring metrics through natural language.
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    Claude-powered warehouse management system that coordinates inventory, AGVs, and order processing through specialized agents using Model Context Protocol patterns.
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    An MCP server that enables interaction with Google's Cloud Healthcare API, allowing users to manage healthcare data, FHIR resources, DICOM stores, and healthcare datasets through natural language commands.
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    A Model Context Protocol (MCP) server that integrates Claude with the Terraform Cloud API, allowing Claude to manage your Terraform infrastructure through natural conversation.
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    A Model Context Protocol (MCP) server providing comprehensive access to the XRP Ledger (XRPL). This service enables AI models to interact with XRPL through standardized endpoints.
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    A unified HTTP/HTTPS service that exposes Model Context Protocol (MCP) functionality over HTTP endpoints, allowing clients to list available tools and call them through a standardized API.
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    An MCP server that enables interaction with Google Cloud Logging API, allowing users to write, read, and manage log entries and configurations through natural language.
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    A secure MCP server example that demonstrates how to deploy to Google Cloud Run with authentication and identity token protection. Serves as a tutorial template for building production-ready MCP servers in the cloud.
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    Provides Multi-Agent Conversation Protocol access to Google Cloud TPU services, enabling management of Tensor Processing Units through natural language interactions with the Google TPU API.
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