Serves prompt templates through a standardized protocol for transforming basic user queries into optimized prompts for AI systems.

A server based on Model Context Protocol that parses Swagger/OpenAPI documents and generates TypeScript types and API client code for different frameworks (Axios, Fetch, React Query).

Enables seamless reading, writing, and analyzing of Excel files through Model Context Protocol, with features for worksheet management, structure analysis, and automated caching.

The Firefly.ai MCP server is a TypeScript-based server that enables seamless integration with the Firefly platform. It allows you to discover, manage, and codify resources across your Cloud and SaaS accounts connected to Firefly.

Server for using [Dify](https://github.com/langgenius/dify). It achieves the invocation of the Dify workflow by calling the tools of MCP.

Connects Claude Desktop directly to databases, allowing it to explore database structures, write SQL queries, analyze datasets, and create reports through an API layer with tools for table exploration and query execution.

An MCP server that enables AI agents to interact with Modal, allowing them to deploy apps and run functions in a serverless cloud environment.

Enables AI integrations with ClickUp tasks, supporting resource management, task operations, workspace organization, and AI-powered task recommendations through a standardized protocol.

A server enabling programmatic control over Android devices through ADB, providing capabilities like screenshot capture, UI layout analysis, and package management that can be accessed by MCP clients like Claude Desktop.

Playwright MCP server enables AI-driven Playwright test generation by allowing interaction with web pages and element inspection. Integrated with IDEs like Cursor, it provides real-time context to enhance test accuracy and efficiency.

Add human approval steps to your AI agents and automations with gotoHuman.

A Model Context Protocol server that provides API functionality for creating, managing, and exporting Excalidraw drawings in various formats like SVG, PNG, and JSON.

An MCP server that enables fetching web content using the Node.js undici library, supporting various HTTP methods, content formats, and request configurations.

A Node.js/TypeScript implementation of a Model Context Protocol server for the Deepseek R1 language model, optimized for reasoning tasks with a large context window and fully integrated with Claude Desktop.

Allows executing shell commands within a secure Docker container through Claude's MCP interface, providing Kubernetes tools and isolated environment without host Docker daemon access.

A powerful Model Context Protocol (MCP) server enabling seamless Vercel project management, including deployments, domains, environment variables, and team configurations through Cursor's Composer or Codeium's Cascade.

Fork of @cyanheads toolkit MCP server. Added encoding functions, removed system network functions.

Enables management of development projects with GitHub integration, facilitating project tracking, repository linking, and metadata maintenance within the Model Context Protocol.

A TypeScript implementation of a Model Context Protocol server that provides a frictionless framework for developers to build and deploy AI tools and prompts, focusing on developer experience with zero boilerplate and automatic tool registration.

Connects Reaper projects to an MCP client like Claude Desktop, allowing users to ask questions and retrieve parsed information about the projects using natural language.

An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context

This server facilitates scalable discovery and execution of OpenAPI endpoints using semantic search and high-performance processing, overcoming limitations of large spec handling for streamlined API interactions.

A plugin that allows Dify to connect to multiple MCP (Model Control Protocol) servers using HTTP with Server-Sent Events transport, supporting custom configurations for URLs, headers, and timeouts.

A server that enables Large Language Models to discover and interact with REST APIs defined by OpenAPI specifications through the Model Context Protocol.

A Model Context Protocol server that enables interaction with GitLab accounts to manage repositories, merge requests, code reviews, and CI/CD pipelines through natural language.