MCP Servers Directory

Integrates Vercel AI SDK with an MCP server to support OpenAI and Mistral LLM providers.

Provides access to AWS programmatic service authorization information, including services, actions, condition keys, and resource types.

Provides HTTP access to Multiple Command Protocol (MCP) tools via a REST API.

Browse and interact with an entire Notion workspace as a Model Context Protocol server, eliminating the need for individual database tokens.

Integrates Scraper.is with the Model Context Protocol (MCP) for web scraping capabilities in AI assistants.

Executes shell commands via the Model Context Protocol (MCP) enabling safe execution of shell commands by AI agents.

Provides advanced mathematical and financial calculation tools for AI code assistant integration.

Provides detailed information about your development environment to enhance code editor assistance.

Connects AI agents to Apache Jena for SPARQL query execution and RDF data manipulation.

Enables Claude, and other Model Context Protocol (MCP) clients, to manage and access memories stored in a simple text file for enhanced context

Enables semantic search in Qdrant vector databases using OpenAI embeddings.

Enables AI agents to interact with the Solana blockchain through a standardized interface.

Enables AI agents to access and interact with DAO governance data from the Tally API.

Manages Django migrations in distributed environments by wrapping migration commands as Model Context Protocol (MCP) endpoints.

Provides file system operations, analysis, and manipulation through a standardized tool interface.

Investigates git repositories to provide detailed insights into history, branch relationships, and development patterns.

Integrates JIRA directly into the Cursor IDE via the Model Context Protocol.

Provides a Model Context Protocol (MCP) server for Linear, enabling issue tracking and project management.

Enables seamless integration between local Ollama LLM instances and MCP-compatible applications for advanced task management.

Enables large language models to interact with and utilize REST APIs by providing configured REST APIs as context.

Provides a persistent memory solution using a local knowledge graph, allowing applications to remember information across interactions.

Provides unrestricted system access to Windows environments via a command-line interface.

Enables AI assistants to search, explore, and retrieve 3D printable models from Thingiverse.

Downloads websites and their assets for use with Retrieval-Augmented Generation (RAG) systems.

Extracts and analyzes errors and warnings from Xcode build logs for integration with AI assistants.

Provides an AI agent for Solana blockchain development through a standardized Model Context Protocol (MCP) interface.

Integrates Claude AI capabilities with Plane project management for enhanced automation and collaboration.

Facilitates interaction with Model Context Protocol by providing a JavaScript SDK for defining server prompts, resources, and tools.

Provides standardized access to Swiss court decisions via the entscheidsuche.ch API, enabling LLMs to search, retrieve, and analyze legal documents.

Log Harvest time entries using natural language, including specific support for leave requests.

Enables natural language interaction with Home Assistant entities using the Model Context Protocol.

Provides persistent memory storage for Infrastructure-as-Code (IaC) components, focusing on version tracking and relationship mapping.

Enables AI assistants to interact with the Loxo recruitment platform API for managing candidates, jobs, and activities.

Provides text-to-speech and speech-to-text capabilities using Windows' built-in speech services.

Enables natural language interaction with local MySQL databases through Claude Desktop by converting natural language queries into SQL.

Enforces standardized development rules and context for Business Central projects.

Enables Claude Desktop to utilize Deepseek models running in Docker containers.

Enables Claude to manage software development projects with project context awareness and code execution via Docker.

Extracts website content and saves it as markdown files, mapping website structure and links.

Enables interaction with the Strava API through a Model Context Protocol (MCP) server.

Integrates Todoist with Large Language Models (LLMs) via the Model Context Protocol (MCP).

Simplifies the implementation of AI agents by providing a facade for the Model Context Protocol.

Provides AI agents with access to Astro documentation for assisting users with Astro-related tasks.

Enables querying and listing Azure resources and costs directly from an MCP client.

Exposes BirdNet-Pi data and functionality through a Model Context Protocol (MCP) server.

Exposes Bruno API collections as Model Context Protocol (MCP) tools for AI agents and other MCP clients.

Integrates ClickUp with the Model Context Protocol to enable note management and summarization.

Simulate code reviews from expert personas using AI and a knowledge graph.

Enhances interaction between Claude and code by providing tools for code analysis, manipulation, and testing.

Enables Large Language Models to directly query and interact with Azure Cosmos DB data.

Enables connection to and interaction with multiple database systems through a unified interface.

Retrieves web content in various formats via HTTP.

Fetches comments from GitHub Pull Requests, including file paths, line ranges, and replies, using a personal access token.

Interacts with Google Workspace products, providing access to Gmail and Calendar functionalities.

Exposes Jira data through the Model Context Protocol.

Integrates with Home Assistant to provide smart home control capabilities via Model Context Protocol (MCP).

Connects to Jira Cloud to search and retrieve issue details for use with Model Context Protocol (MCP).

Demonstrates a basic JSON-RPC client and server implementation using Node.js.

Connect an AI assistant to Linear for retrieving, creating, and managing issues and projects.

Enables AI agents to programmatically manage issues, projects, and teams within the Linear platform.