Developer Tools MCP Repositories

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.

A safe execution environment for running Python code generated by language models locally without requiring Docker or virtual machines. It provides basic isolation and security features, making it suitable for integrating Python capabilities into various applications.

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.

Provides macOS-specific system information and operations, including retrieval of CPU, memory, disk, and network details, as well as enabling native macOS notifications.

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.

Connects to the Brave API to perform web searches, enabling access to search results within the MCP framework.

Run JavaScript, TypeScript, and Python code snippets in a secure, sandboxed environment with dynamic package imports. Provides multi-language support while enforcing strict permission controls to prevent execution of malicious code.

Build custom servers for AI agents to connect with external systems and data sources. Supports both stdio and HTTP transports, enabling flexible interactions and structured tool definitions.

Integrates with the Dify AI API to generate Ant Design business component code, supporting text and optional image inputs with streaming response handling.

Interact with local MySQL databases using natural language, executing SQL queries and managing transactions for data consistency. Supports multiple database connections and all types of SQL commands.

Enables AI assistants to perform code reviews on GitLab merge requests by accessing diffs, commits, comments, and managing reviews through the GitLab API. Facilitates seamless interaction with development environments for enhanced code review workflows.

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.

Interact with Meilisearch to manage indices and documents, configure settings, monitor tasks, and handle API keys. It supports dynamic connections to multiple Meilisearch instances and offers smart search capabilities across indices.

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.

Browser automation through Puppeteer enables interaction with new browser instances and existing Chrome windows, facilitating automated web tasks.

Manages multiple MCP servers and dynamically routes requests across them. Fetches tool, prompt, and resource configurations from the MetaMCP App.

Enhances the ability to solve complex programming tasks by breaking them down into structured, step-by-step reasoning. Provides detailed logging and alternative solution paths to improve code analysis and problem-solving capabilities.

Execute remote commands securely over SSH using the Model Context Protocol, with support for password and private key authentication. The server returns the results of command executions, including standard output, standard error, and exit codes.

Automatically adds unit tests to your codebase, primarily for Node.js and TypeScript. Integrates with GitHub accounts for seamless usage.

Captures browser console logs and integrates them into the Cursor IDE for enhanced debugging. Facilitates real-time access to console data within the development environment.

Provides AI-assisted access to Vonage API documentation for targeted search and content extraction, facilitating quick access to relevant information about communication APIs. Integrates with external web search APIs to enhance documentation retrieval.

Assemble prompts for language models programmatically using JavaScript, facilitating the orchestration of LLMs, tools, and data within a cohesive coding environment. Offers integration with Visual Studio Code and built-in support for various AI models and services.

A starter kit for creating and customizing documentation with built-in examples and components. It automates the deployment process from a GitHub repository, making it easier to manage API reference and guide pages.

Control Android devices programmatically by executing ADB commands, capturing screenshots, analyzing UI layouts, and managing device packages. Integrates seamlessly into development workflows for Android device management.

Create and customize Model Context Protocol servers using TypeScript to implement tools and operations that enhance interactions between AI models and external resources. This template includes a basic server setup with tools for simple operations like addition and demonstration tasks.

Interact with AIStor object stores to manage data, including listing buckets, uploading files, and retrieving metadata. Supports AI-driven operations for describing object contents.

Define and utilize custom prompts in markdown format to streamline interactions with Claude. The server enables flexible, template-based prompt creation, incorporating enhanced error handling and seamless transport configurations.

Manage secure tunnels from local servers to the public internet using simple natural language commands, allowing for easy creation, listing, and stopping of tunnels without complex command-line interaction.

Explore a variety of implementations that enhance Large Language Models with secure access to tools and data sources. Integrate advanced functionalities into applications using the provided reference implementations of the Model Context Protocol.

Interact with a Strapi CMS instance through a standardized interface, managing content types and performing REST API operations, including media uploads. Built-in validation and version compatibility features enhance content management capabilities.