Explore our complete collection of MCP servers to connect AI to your favorite tools.
Enables natural language interaction with KiCad for project management, PCB design analysis, and more using the Model Context Protocol.
Enables Large Language Models to interact with GraphQL APIs through schema introspection and query execution.
Provides programmatic quote trading interfaces for investors, enabling the development of trading and quote strategy analysis tools.
Provides structured memory persistence for AI models via a knowledge graph server utilizing the Model Context Protocol (MCP).
Connects AI agents to a Linux machine by providing a lightweight API bridge for executing commands.
Enables large language models to interact with Alpaca's trading infrastructure using natural language for stock and option trading.
Analyze advertising data through natural language conversations using Claude AI and Google Ads integration.
Enables interactive communication between LLMs and users by facilitating prompts, chat, and notifications locally.
Enables onchain interactions for AI applications with tools to interact with the Base Network and Coinbase API.
Enables AI assistants to securely interact with Azure DevOps through a standardized protocol.
Enables AI assistants like Claude to search and reference Apple Notes during conversations using Model Context Protocol.
Enables AI coding assistants to access Figma design data and convert it to HTML/CSS code.
Enables AI agents to manage and search data within Redis using natural language.
Integrates the Brave Search API to provide comprehensive web, local, image, video, and news search capabilities, alongside AI-powered content summarization.
Centralizes and enhances AI infrastructure by acting as an intermediary for Model Context Protocol (MCP) servers.
Analyzes Active Directory attack paths using natural language queries via a BloodHound and Model Context Protocol (MCP) integration.
Provides a secure, efficient, and personalized local AI chat application experience.
Transforms OpenAPI specifications into Model-Context-Protocol servers and remixes existing servers.
Enables AI assistants to interact with multiple databases simultaneously through a unified interface.
Enables decoupled agent-tool interaction by providing a working pattern for Server-Sent Events (SSE) based Model Context Protocol (MCP) clients and servers.
Visualizes climate-related emission data sourced from ClimateTrace.org.
Integrates the SearXNG API to provide web search capabilities within an MCP environment.
Provides a Streamlit-based Retrieval-Augmented Generation (RAG) client with vector search, comprehensive document management, Supabase authentication, and Model Context Protocol (MCP) integration for AI assistants.
Enables websites to share tools, resources, and prompts with client-side LLMs.
Analyze software architecture, identify refactoring opportunities, and facilitate code extraction for modernization.
Integrates cutting-edge LLM/GenAI models into Unreal Engine for game development and interactive experiences.
Provides practical code examples demonstrating the usage of Spring AI for various AI-related tasks.
Provides an API router for managing and interacting with MCP (Metaverse Content Protocol) Servers.
Enables AI assistants like Claude to interact with and manage AWS resources using natural language.
Interactively builds smart contracts from OpenZeppelin components for various blockchain environments.
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