MCPs tagged with developer-tools
-
Endor
Instant, private, sandboxed environments for popular services with seamless AI agent integration.
Endor provides on-demand, ephemeral local environments for databases and other services, running securely in isolated VMs. It includes a Model Context Protocol (MCP) mode, enabling AI agents and tools to launch and manage services programmatically and securely. Users can deploy services like MariaDB, PostgreSQL, and more, with no complex system setup required. Integration guides and support for IDEs and agent tools like Claude Code, Cursor, and VSCode are provided.
- ⭐ 25
- MCP
- endorhq/cli
-
Docker Hub MCP Server
Expose Docker Hub APIs to LLMs via the Model Context Protocol.
The Docker Hub MCP Server implements the Model Context Protocol (MCP) to make Docker Hub APIs accessible to large language models, enabling AI-powered discovery and management of container images and repositories. It provides an interface for LLMs to access real-time Docker Hub data, recommend images, and streamline developer workflows. The server supports both public and private repositories through configurable authentication, and can be integrated with AI assistants like Gordon and clients such as Claude Desktop.
- ⭐ 83
- MCP
- docker/hub-mcp
-
Gin-MCP
Zero-Config Bridge Between Gin APIs and Model Context Protocol (MCP)
Gin-MCP enables seamless integration of existing Gin-based APIs with Model Context Protocol, allowing endpoints to be automatically exposed as MCP-compatible tools. It offers zero-configuration setup and intelligent discovery of Gin routes, inferring schemas for instant usability with MCP clients like Cursor, Claude Desktop, Continue, and Zed. Developers can easily mount an MCP server onto any Gin application, benefiting from selective exposure and customizable schema registration. The library is designed for maximum productivity with minimal setup or code changes.
- ⭐ 62
- MCP
- ckanthony/gin-mcp
-
CircleCI MCP Server
Enable LLM-driven automation for CircleCI with the Model Context Protocol.
CircleCI MCP Server is an implementation of the Model Context Protocol (MCP) designed to bridge CircleCI with large language models and AI assistants. It supports integration with tools like Cursor IDE, Windsurf, Copilot, and VS Code, allowing users to interact with CircleCI using natural language. The server can be deployed locally via NPX or Docker and remotely, making CircleCI workflows accessible and manageable through standardized protocol operations.
- ⭐ 69
- MCP
- CircleCI-Public/mcp-server-circleci
-
react-analyzer-mcp
Analyze and generate documentation for React components with Model Context Protocol integration.
react-analyzer-mcp analyzes React component source files (JSX/TSX) to extract information about components and their props. It features tools for analyzing individual components or entire project folders and can generate structured documentation automatically. The tool is designed to operate as an MCP (Model Context Protocol) server and integrates with AI assistants like Claude to provide real-time, context-aware analysis. Installation and usage workflows are streamlined for project integration, supporting both CLI and conversational interfaces.
- ⭐ 51
- MCP
- azer/react-analyzer-mcp
-
MCP SQLite Server
A Model Context Protocol server for interacting with SQLite databases.
MCP SQLite Server enables comprehensive interaction with SQLite databases via the Model Context Protocol. It allows users to perform full CRUD operations, explore database schema, and execute custom SQL queries in a standardized, MCP-compatible way. Designed for integration with modern IDEs, it streamlines database management and introspection for developers and AI model workflows.
- ⭐ 65
- MCP
- jparkerweb/mcp-sqlite
-
Developer MCP Server
A powerful MCP server for developer tools including file editing, shell commands, and screen capture.
Developer MCP Server is a general purpose server that implements the Model Context Protocol, offering tools for developers such as file editing, shell command execution, and screen capturing. Built with the rmcp crate, it provides secure and cross-platform operations with file access controls that respect gitignore patterns. The server integrates seamlessly with compatible MCP clients like Claude Desktop and supports advanced workflow management features. Security, workflow branching, and context preservation make it suitable for complex problem-solving and development automation.
- ⭐ 16
- MCP
- VertexStudio/developer
-
LeetCode MCP Server
Seamless Model Context Protocol integration with LeetCode APIs for advanced automation and intelligent tooling.
LeetCode MCP Server is a Model Context Protocol (MCP) compliant server that enables advanced integration with LeetCode’s APIs. It provides robust access to problem data, user profiles, contest analytics, and private user notes across both global and China LeetCode platforms. The server streamlines retrieval, analysis, and interaction with programming challenges, facilitating intelligent automation and enhanced workflow for developers and AI-powered tools. It can be installed via npm or Smithery and easily configured in popular environments like VSCode.
- ⭐ 70
- MCP
- jinzcdev/leetcode-mcp-server
-
liveblocks-mcp-server
Enable AI models to interact with Liveblocks via standardized MCP server endpoints.
liveblocks-mcp-server provides a Model Context Protocol (MCP) server allowing AI clients to access, create, modify, and delete resources within Liveblocks such as rooms, threads, comments, and notifications. The server also offers read access to Liveblocks Storage and Yjs, making it easier for AI interfaces to manage collaborative features through Liveblocks’ REST API. Integration is supported for various clients including Cursor, Claude Desktop, and VS Code. Secure authentication is handled via project-specific secret keys.
- ⭐ 11
- MCP
- liveblocks/liveblocks-mcp-server
-
awslabs/mcp
Specialized MCP servers for seamless AWS integration in AI and development environments.
AWS MCP Servers is a suite of specialized servers implementing the open Model Context Protocol (MCP) to bridge large language model (LLM) applications with AWS services, tools, and data sources. It provides a standardized way for AI assistants, IDEs, and developer tools to access up-to-date AWS documentation, perform cloud operations, and automate workflows with context-aware intelligence. Featuring a broad catalog of domain-specific servers, quick installation for popular platforms, and both local and remote deployment options, it enhances cloud-native development, infrastructure management, and workflow automation for AI-driven tools. The project includes Docker, Lambda, and direct integration instructions for environments such as Amazon Q CLI, Cursor, Windsurf, Kiro, and VS Code.
- ⭐ 6,220
- MCP
- awslabs/mcp