Developer Tools MCP Repositories

Generate high-quality image assets for game or web development by providing descriptive prompts. Streamline asset creation workflows with automated image generation through AI.

Facilitates management and development of Python projects by performing file operations, analyzing and formatting code, managing dependencies, and executing scripts within a secure environment.

Lightweight case logging system designed for mobile platforms, enabling efficient capture, storage, and analysis of logs across iOS and Android. Facilitates debugging and monitoring processes with seamless integration capabilities.

Run AI workflows and manage user profiles with ease while accessing detailed glif information and metadata through the Model Context Protocol. Customize tools for AI-driven tasks by adding or removing them as needed.

The 302AI Sandbox Server allows AI models to safely run code, execute commands, and manage files in a controlled remote Linux environment.

KKJSBridge enhances the WKWebView experience by providing offline packages, enabling Ajax requests, and synchronizing cookies. It supports modular JSAPI management and allows control over Ajax hooks from both native and HTML5 frameworks.

Automates complex tasks on Windows systems by interacting with UI elements, capturing screenshots, and controlling browsers. Integrates with Python applications to enhance productivity through advanced AI functions.

Integrates the Model Context Protocol (MCP) into Express applications to manage both stateful and stateless communication between large language models (LLMs) and tools, facilitating seamless request handling through middleware. Supports long-lived sessions and isolated one-off requests using Server-Sent Events.

Interact with GitHub repositories, manage files, branches, issues, pull requests, and perform advanced searches. Automate repository operations with support for batch actions and maintain Git history without force pushing.

Translates natural language commands into ROS2 instructions for controlling the Unitree Go2 robot. Enhances robot interaction and automation using large language models to interpret user commands.

The FiveM Documentation server provides detailed guides and reference materials for developers working with the FiveM platform. It aims to help users effectively create and modify their FiveM servers through accessible resources.

Develop custom Model Context Protocol (MCP) servers to connect AI systems to external APIs and data sources, enabling seamless interaction and data retrieval. The server includes built-in functionality for IP lookup and command-line interface support for enhanced integration capabilities.

Build and deploy full-stack applications in the browser with AI-powered coding assistance. Integrate multiple language models for a collaborative development experience without the need for local setup.

Provides a natural language interface to query and manage MLflow tracking servers, enabling users to explore machine learning experiments and registered models using plain English. Facilitates interactions with system status and experiment data through a conversational AI interface.

Integrate Salesforce CLI commands into AI workflows to execute commands, view help information, and manage Salesforce projects directly from LLM tools.

VeyraX MCP enables seamless integration of various tools across multiple MCP-compatible environments through a single authentication. Users can efficiently manage and utilize their tools within AI assistants and editors without repeated logins.

Utilizes CodeLogic's software dependency data to provide impact assessments for code changes and analyze impacts between code and database entities. Integrates with development environments to improve coding insights and workflows.

Provides a standardized framework for integrating large language models (LLMs) with various tools and data sources through the Model Context Protocol (MCP). Features include server and client implementations, modular design, and integrations with services like Ollama and Supabase.

Capture and analyze reasoning processes for AI models to enhance decision-making. Maintain focus by easily recording, retrieving, and clearing thought histories.

Provides a user-friendly interface for interacting with CrewAI, requiring no coding skills. Supports multi-platform usage and allows users to integrate custom knowledge sources and view past results.

A high-performance HTTP server utilizing the epoll model for efficient connection and task management, supporting event-driven architecture and timer management for handling inactive connections. Includes implementations of memory allocation, a simple proxy server, and a basic shell for process management and signal handling.

Enables precise numerical calculations by evaluating given mathematical expressions.

Facilitates interaction with web pages using structured accessibility snapshots for efficient browser automation without reliance on vision models. Enables web navigation, form-filling, data extraction, and testing with a deterministic approach.

Store and retrieve user-specific memories to maintain context and make informed decisions based on past interactions using a simple API. Features relevance scoring to enhance memory management with user preferences.

Provides a structured space for Claude to enhance reasoning capabilities through thought history and analysis, facilitating detailed problem-solving. Maintains a record of thoughts with timestamps for reference and analytical purposes.

A collection of tools for development and maintenance tasks, including file operations, task management, and code editing functionalities. Supports basic calculations and npm commands for project building and dependency management.

Integrate UML modeling capabilities into applications for dynamic generation and manipulation of UML diagrams, supporting various types of diagrams including Class, Sequence, and Activity. Enables seamless creation and collaboration through visual representations of systems.

Empowers chat applications to interact with coding environments and execute commands in the local machine’s shell. Supports both Claude and ChatGPT for autonomous coding through a relay server.

A minimal setup for developing React applications using TypeScript and Vite with hot module replacement and ESLint integration. It streamlines the development process with recommended linting configurations and supports modern web applications.

Provides enriched context from a project's codebase for advanced semantic code search and interaction, improving AI client efficiency and understanding of the repository.