Explore our complete collection of MCP servers to connect AI to your favorite tools.
Enables AI systems to interact with JIRA for managing issues, searching tickets, and accessing project information.
Provides a mathematical optimization server leveraging PuLP and OR-Tools.
Provides real-time information access using Google Gemini's grounding capabilities for MCP-compatible clients.
Integrates AI assistants with Azure DevOps for managing work items, pull requests, and wikis.
Enables Large Language Models to interact with GraphQL APIs through schema introspection and query execution.
Provides a Python API wrapper and Model Context Protocol (MCP) server for the rqbit torrent client.
Access the Semantic Scholar Academic Graph API to search for academic papers, authors, and retrieve detailed research information.
Enables AI assistants to securely connect and interact with external Firebird databases for SQL query execution and data management.
Provides a high-performance Model Context Protocol server enabling large language models with comprehensive mathematical capabilities.
Hosts multiple Model Context Protocol servers, each offering access to diverse public APIs and services.
Enables LLM-powered applications to manage and interact with Elasticsearch clusters using the Model Context Protocol.
Provides an SSE service for knowledge graph management, based on the MCP protocol.
Integrate and manage Devici platform data, including users, threat models, and security insights, through a Model Context Protocol (MCP) server for LLMs.
Automate Android emulators and devices through ADB for robust mobile testing and development workflows.
Enables AI models to interact with SourceSync.ai's knowledge management platform through a standardized Model Context Protocol (MCP) server.
Enables sending emails through AWS SES directly from applications like Cursor or Claude Desktop.
Simulates a CO2 sensor device and provides a JSON-RPC server for interaction, with real and simulated modes.
Facilitates communication and collaboration between Model Context Protocol (MCP) clients on a local machine.
Provides a basic implementation of a Model Context Protocol server using the official MCP SDK.
Optimizes large language model context window usage for tool execution by aggregating multiple servers.
Integrates the Wassenger WhatsApp API with AI clients to automate messaging, conversation management, and various WhatsApp operations using natural language.
Deploys an agentic AI architecture on AWS Fargate for Amazon ECS, enabling an AI service to interact with multiple Model Context Protocol servers to perform various actions.
Unifies AI development tools with secure OAuth, dynamic tool discovery, and seamless access for autonomous agents and coding assistants.
Retrieves up-to-date news using the newsdata.io API.
Enables AI Agents to manage Minecraft server instances and related services through MCSManager via the Model Context Protocol.
Enables Claude Desktop to interact with Google's Gemini 2.5 Pro Experimental AI model.
Integrates the Doorstop Requirements Engineering Framework with the Model Context Protocol (MCP).
Enables AI assistants to interact with the Meta Marketing API for comprehensive ad campaign management.
Aggregates and provides persistent, searchable memory across all your AI coding agent sessions in a single vector database.
Enables interaction with a Notion workspace through Claude and other LLMs.
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