Developer Tools MCP Repositories

Run AI-generated code in secure isolated sandboxes in the cloud, enabling safe execution and testing of code snippets generated by AI models.

Transform GitHub projects into remote endpoints for AI assistants, enabling access to project documentation through semantic search. Ensure privacy and zero setup for AI-powered documentation retrieval.

A Python framework designed for building web scrapers, featuring tools for breakpoint resuming, monitoring alerts, and browser rendering. It incorporates a management system for deploying and scheduling scrapers efficiently.

Enhance AI assistants with Go code analysis capabilities by leveraging the Language Server Protocol for tasks like code navigation, diagnostics, and suggestions. Interact with Go tools for efficient coding workflows.

Integrate with the GitHub API to manage repositories, perform file operations, and execute advanced searches. Automate workflows with features like automatic branch creation and comprehensive error handling.

Manage and monitor Nomad jobs, deployments, namespaces, nodes, allocations, variables, volumes, and ACLs. Perform real-time monitoring and secure operations using token-based authentication for Nomad cluster administration and automation.

Host a remote MCP server on Cloudflare Workers with OAuth login support to manage and expose tools for LLM integration. Provides a user-friendly interface for defining, exploring, and calling tools with authentication.

Integrates data scraping, content processing, and AI capabilities, with features for document conversion, web scraping, and knowledge management. Supports real-time information access through various data APIs and secure code execution.

Moling is a local office automation assistant that interacts with the operating system through APIs, facilitating system-level operations.

Manage and query documents in a local directory using retrieval-augmented generation techniques, integrating context from text files and Git repositories. Supports listing documents and generating responses based on queries with context from the stored content.

Provides a mechanism for AI models to incorporate a structured thinking step in problem-solving, enhancing decision-making and policy adherence during complex multi-step tasks.

The 302AI Browser Automation Server allows users to control web browsers using natural language commands. It helps automate online tasks and conduct web research efficiently without the need for complex coding.

Leverage natural language to interact with Neo4j databases and manage knowledge graphs effortlessly. Transform natural language queries into Cypher commands and store knowledge graph memory in Neo4j or a file.

Analyzes codebases to generate dependency graphs and architectural insights, providing an understanding of code structure, dependencies, and architectural patterns across multiple programming languages.

Provides stealth browser automation capabilities, allowing AI models to browse, interact, extract content, and manage browser sessions while employing advanced anti-detection features. Integrates seamlessly with the Model Context Protocol for efficient command execution and data handling.

Integrates multiple services into Cursor IDE, providing example and weather functionalities to enhance the development workflow. It includes controllers for handling requests and services that encapsulate business logic.

Measure and analyze network performance metrics, including download and upload speeds, latency, and jitter. Generate detailed JSON reports to provide insights into internet connection quality.

Yazi is a high-performance C++ framework for building backend services capable of managing millions of concurrent connections, streamlining network programming and backend development processes with various robust tools and features.

Provides access to React Native coding standards and code examples, facilitating streamlined development practices with ready-to-use templates and guidelines. It includes features like fuzzy matching for example searches and integrates fully with the Model Context Protocol (MCP).

Integrates with the Plex Media Server API to search for movies, retrieve movie details, and manage playlists. Provides functionalities such as finding movies by director and identifying missing films from a specific director's collection.

Securely execute code in isolated Docker containers, providing a controlled environment for code execution. This MCP server supports custom Docker images, file operations, and command execution with real-time logging.

Facilitates interactions with Text to Speech and multimedia generation APIs, enabling voice cloning and the creation of images and videos. Provides advanced media capabilities for application's integration.

Facilitates project creation and updates, database interaction, and API usage within IDEs, enhancing coding workflows and AI-assisted development.

Enables analysis of Python code structures through function call graphs, facilitating the exploration of function relationships and dependency analysis. Provides contextually aware insights for improved code assistance.

Manage and interact with knowledge graphs using Neo4j. This server provides an stdio-based interface for creating, updating, and searching entities and relationships in a graph database format.

Apifox MCP Server provides access to API documentation within Apifox projects, allowing AI tools to generate, modify code, and search through API documentation seamlessly. It facilitates direct interaction with API data through supported IDEs such as Cursor and VSCode.

Integrates Binary Ninja with LLM capabilities to enhance binary analysis workflows, enabling real-time function renaming and report generation. Facilitates improved reverse engineering processes through AI assistance.

Analyze GitHub Pull Requests efficiently and integrate with applications to retrieve and manipulate PR data using the Model Context Protocol.

Enhances the Model Context Protocol by enabling comprehensive tool integration and context management, while allowing for the seamless forwarding of commands and results between multiple MCP servers. Supports both static and dynamic tool capabilities, simplifying client configuration for users.

Plays notification sounds to alert users when AI coding assistants require attention, such as for task completions or approvals. Designed to enhance the coding experience by providing timely audio cues.