Developer Tools MCP Repositories

Connects AI models to various tools and data sources, facilitating intelligent task delegation and optimizing workflows by routing tasks to suitable models for cost-effective and high-quality outputs.

Enables high-performance text searches across files using ripgrep for efficient pattern finding and file management. This MCP server connects AI applications to powerful search capabilities, streamlining data retrieval processes.

Integrates AI assistants with the Metasploit Framework, enabling natural language control over penetration testing workflows. Provides access to exploitation and post-exploitation tools through standardized commands.

Facilitates the execution of Dart SDK commands to analyze, compile, and manage Dart projects, enhancing the integration of AI coding assistants within Dart/Flutter development environments. It provides intelligent path handling and requires no configuration for streamlined development.

Manage API testing workflows by creating mock servers and running tests against Postman collections. The server facilitates test scenario management and integrates with Newman for API testing.

Provides quick access to local system utilities, allowing retrieval of system information such as time, hostname, public IP, directory listings, Node.js version, and process checks on specific ports.

Manage VMware ESXi and vCenter environments through a REST API interface, allowing for the creation, cloning, deletion, and monitoring of virtual machines. Supports real-time performance insights and secure operations through API key authentication and SSL/TLS connections.

Dynamically generates MCP tools by extracting the `swagger.json` file from Swagger UI, enabling integration of Swagger-defined APIs with MCP clients. Facilitates automatic tool creation for improved API interaction within MCP environments.

Host a remote MCP server on Cloudflare Workers with OAuth login to securely expose tools and resources. Connect and interact locally or remotely using the MCP Inspector or Claude Desktop to enable LLM applications to call custom tools over HTTP/SSE.

Connect and control DaVinci Resolve projects, manage media, and execute Python code through an AI interface for enhanced video editing automation.

Interact with Bear note-taking software to manage notes and retrieve information. Provides integration with Bear's API for note creation and manipulation.

Execute shell commands securely within an isolated Docker container environment. It supports both synchronous and asynchronous execution with multiple notification modes, while also integrating Kubernetes tools.

Integrate and manage network infrastructure by connecting Netbox's functionalities with multi-cloud platform capabilities. Automates and streamlines access and control over network resources through a unified interface.

Orchestrates and enhances LLM workflows by integrating multiple MCP servers and tools, enabling complex multi-step task management with robust retry mechanisms. Facilitates accurate and cost-effective solutions by utilizing various LLM providers and tools based on specific task requirements.

Streams live images from a webcam to an MCP Client, supporting both capturing frames and taking screenshots.

Facilitates the development of AI tools that interact with databases, handling complexities like connection pooling and authentication. Includes observability features to enhance performance and security during data access.

Manage and decompose complex tasks across multiple task management systems, facilitating intelligent workflows and enabling integration with various editors. Supports task tracking, dependency management, and automatic analysis of task complexity through a Python-native implementation.

Connect Claude AI to Ableton Live for prompt-assisted music production, enabling manipulation and control of MIDI and audio tracks, clip creation, and session management.

Control Airflow deployments through its APIs, enabling effective management and understanding of workflows.

Build multimodal agents capable of processing text, images, audio, and video. Enhance applications with integrated memory, knowledge management, and automation tools.

Integrates Stata commands into coding environments such as VS Code and Cursor, enabling the execution of Stata scripts and real-time output viewing. Supports AI assistance for enhanced coding and data insights within the Stata context.

Integrates with Apache Gravitino services to manage metadata including catalogs, schemas, tables, tags, and user roles through an intuitive interface. Facilitates optimized metadata retrieval and management, enhancing data governance workflows.

Facilitates interaction with self-hosted Supabase instances by enabling database management, schema introspection, user authentication, and real-time data handling from development environments.

Interact with Jupyter notebooks in a local JupyterLab environment, enabling the addition and execution of code or markdown cells.

An MCP server that executes shell commands or scripts, returning both standard output and error messages. It supports the execution of various commands and allows input via stdin for enhanced functionality.

A Chrome extension for enhancing writing efficiency by quickly rewriting and optimizing text content using various AI models. Features include automatic recognition of special text patterns, customizable rewriting commands, and stock code assistance.

A backend management system built on Spring Boot that supports user management, role management, menu management, and offers code generation for both front and back end. It integrates various tools for operational management and performance monitoring.

Showcases reference implementations for the Model Context Protocol (MCP), providing secure and controlled access to tools and data sources for Large Language Models (LLMs). Implemented with either the Typescript or Python MCP SDK, these servers demonstrate the versatility and extensibility of MCP.

Interact with Windows command-line functionality, execute commands, create projects, and retrieve system information with enhanced security protocols.

提供了一系列用于神岛引擎的 OpenAPI MCP 工具，通过脚本管理和数据存储操作，支持 AI 更高效调用引擎接口与实现代码辅助功能。