Explore our complete collection of MCP servers to connect AI to your favorite tools.
Facilitates Server-Sent Events (SSE) functionality for MCP server applications.
Orchestrates AI agent interactions with various services using Model Context Protocol (MCP) servers.
Enables users to create, manage, and summarize sticky notes using an AI agent like Claude through MCP.
Connects Dynamics 365 data to Claude Desktop using CData JDBC drivers through a read-only interface.
Enables querying live HubSpot data from applications like Claude Desktop using CData JDBC Drivers through a read-only Model Context Protocol (MCP) interface.
Enables access to Jira data from Claude Desktop through CData JDBC Drivers, leveraging the Model Context Protocol (MCP).
Enables execution of SELECT queries on a TiDB instance via MCP tools.
Generates appropriate alternative text for images based on an ALT decision tree, enhancing accessibility.
Provides a Model Context Protocol server for seamless interaction with MongoDB Databases and MongoDB Atlas.
Facilitates building and deploying custom remote servers to the cloud using Azure Functions with Python.
Automates the generation of Anki flashcards from Notion pages, converting toggle blocks into structured cards using AI and real-time import via AnkiConnect.
Provides an intelligent search and retrieval system for Pybricks documentation and code examples.
Provides advanced vector store operations, document search, and information retrieval through a Model Context Protocol (MCP) interface.
Provides a foundational template for developing Model Context Protocol servers compatible with Claude Desktop and other MCP clients.
Unifies multiple AI API providers, enabling AI assistants to intelligently select the most suitable model for tasks within a single conversation.
Provides a server interface for interacting with SAS environments, enabling metadata retrieval and code execution via `saspy`.
Showcases a basic example of developing and running serverless Model Context Protocol (MCP) applications using Netlify Functions.
Exposes Java APIs from Git repositories to AI coding assistants.
Generates PlantUML code for UML Class and Sequence diagrams leveraging Google Gemini's AI capabilities.
Provides intelligent, queryable responses about a user's professional background through a standardized Model Context Protocol server.
Provides AI assistants with programmatic access to Microsoft Entra ID (Azure AD) directory services, enabling LLMs to search and manage users and groups.
Enables AI assistants to manage Todoist tasks, projects, sections, labels, and comments through natural language conversations.
Transforms Confluence documentation into an AI-powered knowledge base, enabling natural language queries via Gemini CLI.
Access files across multiple code repositories from a single unified Model Context Protocol (MCP) server, simplifying file management for AI assistants and developers.
Enables large language models to manage and automate VAST Data Platform infrastructure through natural language commands.
Provides access to the Flightradar24 API for real-time and historical flight data.
Generates and renders infographics from a custom DSL syntax, serving them through various transport modes.
Integrate Proxmox VE management with AI coding tools, enabling natural language control over virtual machines, containers, storage, and networking.
Exposes WebSketch IR tools to LLM agents via the Model Context Protocol to enable UI understanding and manipulation.
Searches and browses the Fiverr marketplace for gigs, sellers, pricing, and reviews without requiring an API key.
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