Explore our complete collection of MCP servers to connect AI to your favorite tools.
Automates and enhances GitHub pull request code reviews by leveraging AI for analysis, suggestions, and standards compliance.
Empowers AI development by enabling agents to learn from past experiences, reducing repetitive trial-and-error and optimizing token usage.
Explore AI security vulnerabilities within a deliberately insecure framework designed for educational purposes.
Enables text models to interact with multimodal AI models through a standardized Model Context Protocol (MCP) server.
Enables Spring AI models to execute SQL queries across various database systems.
Provides a search engine for Micronaut documentation and guides, accessible via a web application and an MCP Server.
Generates complete constructor examples with placeholder values for Pulumi resources.
Provides access to Whissle API endpoints for speech-to-text, diarization, translation, and text summarization.
Enables scalable mobile automation and development for AI agents and LLMs across iOS and Android devices.
Enables AI assistants to manage Dynadot domains, DNS, transfers, and contacts using natural language commands.
Integrates the Yahoo Finance API with LLaMA 3.2 3B to enable real-time financial data retrieval and analysis within the model.
Integrates with IG Trading API to enable AI-powered trading and market analysis through a Model Context Protocol (MCP) server.
Fetches and summarizes Medium.com articles by tag for use with LLMs such as Claude Desktop.
Enables Large Language Models to interact with ShotGrid directly by providing a modern Rust client and native Model Context Protocol (MCP) server.
Manages persistent terminal sessions, allowing commands to run continuously even after client disconnection, ideal for AI assistants and long-running tasks.
Streamline the creation of production-ready Model Context Protocol servers through declarative YAML configurations and optimized Rust code generation.
Demonstrates a minimal, working example of a Multi-Client Protocol server and client using the stdio method.
Empowers AI assistants with secure and programmatic access to the Microsoft Graph API for managing Azure AD resources and user data.
Play a classic game of Four in a Row against GitHub Copilot using a Spring Boot-based Model Context Protocol (MCP) server.
Creates a massive, searchable knowledge base for AI assistants from curated and auto-discovered repositories.
Autonomously learns from interactions to optimize AI agent performance and continuously improves its knowledge base through machine learning techniques.
Bridges the gap between large language models (LLMs) and existing RESTful business systems by providing a generic Model Context Protocol (MCP) server.
Enables AI models to interact with the Gridscale API for infrastructure provisioning.
Integrate your Skald knowledge base with AI assistants for chat, search, and memo creation.
Provides a chatbot interface that uses GPT-4o to route user input to various tools like GPT chat, image generation, Supabase queries, and text-to-speech.
Exposes SSH control for Linux and Windows systems via the Model Context Protocol (MCP).
Integrates Excalidraw diagrams with Model Context Protocol-compatible AI assistants and development environments.
Enables natural language control of Universal Robots using a large language model via the Model Control Protocol (MCP).
Queries the OSV database for vulnerability information using a lightweight Model Context Protocol (MCP) server.
Provides enhanced semantic code search and deep context for AI coding agents with improved stability, faster synchronization, and reliable data persistence.
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