Developer Tools MCP Repositories

Execute Babashka (Clojure) scripts, manage command execution, cache command results, and access command history while utilizing configurable command timeouts.

Facilitates interaction with BNB Chain and EVM-compatible networks via natural language processing. Supports blockchain development, smart contract interactions, and network management tasks.

Enables cloud server configuration and deployment with a focus on microservices architecture and data streaming technologies, integrating tools like Kafka, Flume, and Elasticsearch for robust system building. Supports AI and Python functionalities to enhance applications.

A centralized control plane for managing multiple Kubernetes clusters, enabling multi-cluster context switching and CRUD operations on common Kubernetes resources.

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。

Access user data and map information on the 神岛 platform, aiding in the retrieval of statistical insights and analysis of player behavior. Provides both public and authenticated APIs for data access, along with comprehensive map analysis features.

HexDocs MCP provides semantic search capabilities for Hex package documentation, enabling integration with AI applications to access and find relevant documentation efficiently. It includes an Elixir binary for processing documentation and a TypeScript server that implements the Model Context Protocol to facilitate searches.

Provides access to Laravel documentation and package recommendations for AI models, enabling dynamic search, reading, and updates from GitHub. Supports multiple Laravel versions and offers implementation guidance for popular packages.

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.

Enhance decision-making through systematic, iterative refinement of thoughts and designs using the Chain of Draft protocol. Supports reasoning, API design, code reviews, and implementation planning with comprehensive error handling and real-time logging.

Manage and interact with multiple conversations using OpenRouter's language models through a standardized interface, facilitating message creation, real-time streaming, and persistent conversation states. Features include error handling and recovery, along with automatic token counting and model context management.

Enables LLMs to read, search, and analyze code files while providing advanced caching and real-time file watching capabilities. Facilitates file operations and code analysis to improve development workflows and quality metrics.

Leverage Google's Gemini model capabilities for text generation and state management in chat applications through a standardized tool-based interface. Provides functionalities like content generation and function calling via the MCP standard.

Provides code completion, bug fixing, and automated test generation capabilities using Mistral's Codestral API, supporting multiple programming languages and ensuring comprehensive input validation.

Automates Node.js project setup, component generation, and TypeScript integration, providing tooling for frameworks like React and Next.js. Facilitates smart dependency management and automatic configuration for efficient development workflows.

Generates, fetches, and manages UI components using natural language commands. Integrates with Claude and Windsurf AI assistants for efficient UI development.

Send customizable system notifications across various platforms directly from LLM agents, enhancing user interaction. Integrates effectively with VS Code to facilitate quick setup and usage.

Langflow provides a low-code interface for building and managing AI applications. It facilitates the creation, testing, and deployment of workflows using various models and APIs without requiring extensive coding knowledge.

Programmatic access to the Windows command line allows execution of commands, retrieval of outputs, and sending of control signals within a standardized interface for AI model integration.

Connects Claude AI to Houdini for prompt-assisted 3D modeling, scene creation, and simulation setup. Enables control of Houdini nodes, geometry creation, and direct execution of Python code.

Automate and interact with InterSystems IRIS databases, streamlining data manipulation and retrieval processes. Enhance application development by leveraging the Model Context Protocol for efficient database interactions.

Provides detailed information about the development environment, including system configuration, installed tools, and running processes to enhance context-aware assistance for the Cursor code editor.

Integrates with the Gerrit code review system to facilitate the fetching of change details, comparison of patchset differences, and analysis of file modifications. Streamlines code review workflows by providing access to detailed change information in an efficient manner.

Manage custom operational modes with full CRUD operations, ensuring configuration and management are programmatically controlled. Features include schema validation, file system watching, and error handling with standard MCP error codes.

Fetches package documentation from various programming languages for LLMs, providing structured data and analysis prompts without the need for API keys. Enables easy retrieval and comprehensive reference for developers.

Generate prompts from Git repository content to assist in development workflows. Create pull request descriptions and other relevant prompts based on code changes directly within Zed Editor.

FastAPI is a modern web framework designed for building APIs efficiently. It enables high performance in creating RESTful services that can quickly link to various AI models and tools.

Execute macOS terminal commands securely through the MCP with features like command whitelisting and an approval workflow for potentially dangerous commands. Supports safe execution of commands managed by predefined security levels.

Execute shell commands securely across Windows, macOS, and Linux platforms using automatic shell detection and command management. Features include whitelisting of commands with varying security levels and comprehensive logging for command execution.

Interact with Gausium robots through a standardized interface to access robot status, task reports, and maps. The server facilitates communication between AI models and Gausium's automation capabilities.