Developer Tools MCP Repositories

Fetches and indexes documentation for various software libraries, packages, and APIs. Provides powerful search capabilities to enable AI systems to access the latest official documentation from multiple sources.

Injects advertisements into LLM responses, demonstrating the challenges posed by ad-injecting intermediaries in developer workflows. This project serves as a humorous exploration of potential business models around ad integration.

Showcase and explore a variety of interactive applications built with Streamlit, enabling users to discover inspiring projects and leverage existing applications for their own development needs.

Automates the creation of organized context files for codebases to facilitate interaction with AI models like ChatGPT and Claude, enhancing tasks such as code refactoring and documentation.

Facilitates interaction between AI agents and Visual Studio Code, enabling file modifications, project management, and extension status checks directly within the development environment.

Organizes and archives bookmarks, notes, images, and PDFs with automatic tagging and full-text search capabilities. Features include OCR, link previews, and multi-language support for enhanced accessibility and content management.

Facilitates learning the fundamentals of GitHub, including branching, repository management, and collaborative project workflows. Provides step-by-step guidance and resources for effective navigation of the platform.

Access documentation for a variety of technologies through the Gemini API, leveraging a curated knowledge base to provide accurate responses to complex queries. This server is designed to handle large context windows for improved comprehension of technical materials.

Analyze binary files and manage functions and variables remotely using IDA Pro's headless mode. Provides tools for efficient remote operations through the Multi-Client Protocol.

Create and connect custom tools to Cursor IDE using the Model Context Protocol, enhancing the IDE experience with tailored functionalities.

Integrate SQL Server databases with AI assistants by facilitating secure and efficient database querying capabilities through the Model Context Protocol. Enable LLM applications to easily access and manipulate Microsoft SQL Server data.

Generate images from text prompts using various fal.ai models through the Model Context Protocol (MCP), enabling seamless integration with AI IDEs. Save generated images locally with customizable output paths and robust error handling.

Enables interactive communication between AI models and live Jupyter notebooks in JupyterLab, allowing for seamless manipulation of notebooks, code execution, and file management directly from MCP clients.

Connect with various real-world data sources and tools to enhance applications and workflows. Provides integrations for seamless data interaction.

Integrates DirectX 12 capabilities into Delphi and Free Pascal applications, providing a comprehensive set of headers for enhanced compatibility and functionality. Facilitates smoother development with straightforward Pascal syntax for utilizing DirectX 12 features.

Connects MCP clients to SLOP-compatible servers by translating MCP messages into SLOP API calls, facilitating integration and interaction with SLOP resources and tools.

Run immersive simulations in the Genesis World with advanced visualization capabilities, enabling dynamic environments and interactions through a user-friendly interface.

Connects LLMs to various tools, enabling web browsing and file operations for building custom AI agents. Facilitates the integration of diverse capabilities into applications without relying on proprietary solutions.

Directly interact with MySQL databases through a standardized MCP interface to perform operations such as connecting, querying, modifying tables, and listing schema details. Streamlines database management and integration within LLM applications.

推理算法助手 is a tool designed for cryptanalysis that quickly identifies and infers the types of encryption algorithms used in encrypted data, attempting to decrypt plaintext. It supports various encryption modes and provides an intuitive interface for security research and data recovery.

Provides an interactive Python REPL environment that allows execution of Python code and maintains session history for review. Outputs from executed code are captured and accessible for each session.

Wraps the Azure CLI for accessing Azure resources, enabling operations such as listing, creating, updating, and deleting cloud resources using a language model interaction.

Configure and manage multiple MCP services using HTTP with SSE or Streamable HTTP transport. Enhance applications by allowing easy integration of various tools and functionalities through a standardized interface.

Enable AI applications to capture and analyze browser data through a Chrome extension, facilitating browser monitoring and interaction. Conduct audits for accessibility, performance, SEO, and best practices directly from the development environment.

Analyze large codebases effectively using Gemini's extensive context window while connecting with IDEs such as Cursor and Windsurf. Load the entire codebase from a single file and query it for insights effortlessly.

Manage and execute Blender Python scripts in a headless environment while tracking execution results and metadata. Add, edit, and remove scripts efficiently to streamline Blender scripting workflows.

A collection of Python coding examples and projects designed to teach Python programming through practical applications such as web scraping, data visualization, and advanced topics like asynchronous programming and RESTful API development.

Integrates various language models to facilitate a two-stage reasoning and response generation system, supporting multiple AI providers for enhanced coding and reasoning tasks.

Enables the creation, management, and versioning of AI agents through a prompt and tool management system, integrating seamlessly with systemprompt.io for enhanced functionality.

Standalone MCP server facilitating API testing and management, enabling AI assistants to communicate with RESTful APIs using natural language. Supports making HTTP requests, organizing requests in collections, and managing authentication methods.