Explore our complete collection of MCP servers to connect AI to your favorite tools.
Exposes Clever Cloud's documentation through a Model Context Protocol (MCP) server.
Provides reference implementations for Model Context Protocol (MCP) servers, demonstrating how to give Large Language Models (LLMs) secure, controlled access to tools and data sources.
Enables Cursor to utilize a PostgreSQL database for storing model contexts.
Integrates Feishu OpenAPI with Windsurf IDE for seamless API management and development.
Automates customer support by classifying tickets, analyzing content, generating, and sending AI-powered responses to customer email addresses.
Transform GitHub repositories into personalized starter code templates using AI-powered code discovery.
Connects Large Language Models (LLMs) and AI clients to live Cloudant data via a Model Context Protocol (MCP) interface.
Enables large language models like Claude Desktop to query live eBay Analytics data through CData JDBC Drivers.
Enables natural language querying of live EnterpriseDB data from Large Language Models like Claude Desktop via CData JDBC Drivers.
Enables Large Language Models (LLMs) to query live FHIR data by exposing it as relational SQL models through a simple Model Context Protocol (MCP) interface.
Streamlines interaction with Azure Log Analytics workspaces for querying and data management.
Generate, visualize, and manage complex flow diagrams with integrated MCP server capabilities for enhanced LLM-driven creation.
Empowers Large Language Models to automate web browsers through natural language prompts, eliminating the need for traditional scripting.
Provides example configurations for running local MCP servers tailored for HashiCorp Terraform and Vault.
Empowers Large Language Models to execute rule-based simulations of molecular interaction systems using the Kappa language.
Generates production-ready Apollo GraphQL servers directly from BigQuery SQL queries, incorporating Dataplex lineage tracking for robust data governance.
Integrates web search capabilities into an MCP server using the Tavily API for AI agent functionality.
Integrate real-time stock market data, currency conversions, world time, and unit conversions into AI applications with four dedicated servers.
Provides a Python library for advanced geospatial analysis, exposing Turf.js functionalities as an MCP service.
Automates diverse personal and professional tasks through an AI assistant interface, integrating specialized servers for a wide range of functionalities.
Establishes a transparent proxy between OAuth 2.1 clients and external MCP servers, handling dual authentication flows.
Searches and analyzes academic papers from OpenAlex using an AI-powered assistant.
Enables AI assistants to intelligently navigate and search extremely large JSON files efficiently, minimizing token usage and improving performance.
Establishes a WebSocket endpoint for streamlined server-side operations, facilitating message echoing and secure, parameterized database queries.
Provides an MCP-compatible API service to automatically remove watermarks from Sora2 generated videos.
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