Explore our complete collection of MCP servers to connect AI to your favorite tools.
Bridges Grasshopper and Claude Desktop for natural language control of parametric design.
Provides a minimal Rails API template for building Model Context Protocol (MCP) servers with tool execution capabilities.
Connects Claude to Todoist for managing tasks and projects using natural language.
Captures screenshots of webpages, enabling AI agents to visually verify web applications and track development progress.
Integrate Java applications with txtai, an AI framework for tasks like semantic search and language model workflows.
Empowers AI assistants to perform comprehensive and secure operations on MySQL databases, including CRUD, transaction management, and intelligent rollback.
Visualize configurations, manage HTTP(S) proxies, and mock data for frontend development services within webpack and Vite projects.
Integrates Redash with AI assistants like Claude via a Model Context Protocol (MCP) server.
Simplifies the integration of Model Context Protocol (MCP) functionality into Elixir-based Phoenix or Bandit servers.
Enables integration between Claude AI and desktop applications through Cursor IDE, facilitating AI-powered development workflows.
Integrates HackMD note-taking with AI assistants via the Model Context Protocol.
Manages Letta agents, memory blocks, and tools through an MCP server implementation.
Downloads webpages as Markdown files for easy access and integration with AI tools.
Connects large language models to the GeoServer REST API, enabling AI assistants to interact with geospatial data and services.
Provides vector database capabilities through Chroma for semantic document search and management.
Translates PowerPoint presentations using Amazon Bedrock models, preserving original formatting and structure.
Integrates TRELLIS's 3D generation capabilities into Blender for text-to-3D and image-to-3D model creation.
Deploys a complete AWS backend infrastructure for retrieval-augmented generation applications, integrating with Gemini Pro and a Streamlit UI.
Enables native API integration for iOS and macOS applications through a JSON-RPC interface and provides an OpenAI-compatible function calling bridge.
Enables Honeycomb Enterprise customers to query and analyze their observability data, alerts, dashboards, and cross-reference production behavior with codebase using LLMs.
Provides a production-ready Model Context Protocol (MCP) server for AI agents to store, retrieve, and manage semantic memory and contextual knowledge across sessions.
Provides ripgrep search capabilities to Model Context Protocol (MCP) clients.
Automates openMSX emulator instances via a Model Context Protocol (MCP) server, providing comprehensive tools for MSX software development, testing, and automation.
Provides a standardized interface for accessing cryptocurrency market data and exchange information from the CoinMarketCap API.
Automates browser tasks through an MCP server using DrissionPage and FastMCP, offering browser operation APIs for AI integration.
Enables querying and managing Magento 2 product, customer, order, and revenue data through an MCP server.
Provides a user interface to interact with Model Context Protocol (MCP) servers through Server-Sent Events (SSE).
Enables AI interaction with Google Workspace services via the Model Context Protocol using Google Apps Script.
Provides detailed information about AI language models to help developers choose the right one for their needs.
Searches PubMed via the Model Context Protocol (MCP).
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