Developer Tools MCP Repositories

Integrates with GitLab, Jira, Confluence, YouTube, and Google Maps to provide AI-powered search capabilities and utility tools for development workflows. Supports interaction with multiple services using API keys and tokens.

A platform for conducting advanced network security tasks, including vulnerability analysis, traffic inspection, and attack investigation, through interactive dialogues with a specialized AI model. Designed for security professionals, it offers intelligent assistance for understanding and mitigating cybersecurity threats.

Create and manage a Model Context Protocol server to integrate various tools and resources, enhancing applications with real-world data and actions. Supports TypeScript and modern JavaScript tooling for streamlined development.

Access multiple large AI models through a unified OpenAI API format, facilitating easy integration and interaction with various AI services.

TypeScript-based MCP server for code editing that provides hover information, code completion, and diagnostic capabilities. Designed to support additional languages with a focus on TypeScript and theoretical support for Python.

Integrate with Apple applications to manage and send messages, emails, notes, contacts, and more.

Fetch random LGTM (Looks Good To Me) images for use in code reviews and developer communications, providing markdown code for embedding images and direct image URLs.

Connects Claude AI with Blender for 3D modeling and scene manipulation, enabling the creation and modification of 3D objects and materials through prompt assistance. Automates tasks in Blender using Python code for enhanced workflow efficiency.

The Make MCP Server enables users to automate workflows by connecting the Make automation platform with Claude Desktop, using the Model Context Protocol for seamless data exchange and communication.

Integrates Google's Gemini Pro model for text generation and advanced AI functionalities. Connects to the Gemini API through a TypeScript server implementation.

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.

Implement vehicle license plate recognition using C/C++ on FPGA, utilizing OpenCV for image display and Eigen for optimized matrix operations. The project includes code for training neural networks and processing license plate images.

The Calculate Server is a tool that performs a wide range of mathematical tasks, from basic arithmetic to advanced calculus and algebra. It can help you solve equations, manipulate expressions, and work with matrices easily.

Provides a functional implementation of the Model Context Protocol (MCP) server that connects various LLM clients to tools, resources, and prompts for enhanced AI capabilities.

The MongoDB MCP Server connects AI models to MongoDB databases, allowing users to query data, view database structures, and manage information using natural language commands.

Manage Cloudflare accounts using natural language commands to deploy Workers, manage databases, and handle storage tasks. Interact with the Cloudflare API seamlessly within an IDE environment.

Provides AI assistants with access to clean markdown documentation for various libraries and frameworks, enhancing their ability to utilize less popular or newly released libraries.

Interact with the Algorand blockchain, manage accounts, create assets, and execute transactions. Access both real-time and historical blockchain data to enhance applications.

Programmatic control over iOS simulators, enabling the listing of available simulators, booting and shutting down simulators, installing .app bundles, and launching apps by their bundle ID.

Create and execute LLM-based agents using a simple YAML configuration and a powerful CLI. Integrate with various MCP servers and utilize built-in tools for common tasks in agent development and deployment.

Build conversational applications that utilize local large language models, vector memory for context management, and a plugin system to perform real actions. Features include multi-user and session support, along with automatic long history summarization.

Facilitates interaction with Obsidian vaults by enabling reading, writing, and managing notes and todos through natural language commands, all while allowing direct filesystem access even when the Obsidian app is not running.

Access detailed Julia documentation and source code, including information on packages, modules, types, functions, and methods. The server includes built-in caching and error handling specific to Julia.

An intelligent coding assistant that supports multiple AI models for code generation, modifications, and technical discussions. It can handle various file types for text extraction and data parsing to facilitate development tasks.

Synchronizes logs between Cocos Creator and Cursor AI, enabling efficient problem analysis and resolution. Features include real-time log syncing, intelligent filtering, and scene management capabilities.

Validate n8n workflows to ensure adherence to best practices, manage workflow interactions, and facilitate NextJS integration with generated API routes and documentation.

Integrates with external services and APIs to enhance LLM capabilities, facilitating command execution and interaction with Figma files. Provides a toolkit for developers to extend the functionality of language models seamlessly.

Provides web search capabilities using Puppeteer, returning structured JSON results from Google searches in a lightweight and stateless design.

Automate the fine-tuning and deployment of custom Stable Diffusion models using a fully automated MLOps pipeline that integrates various Google Cloud components. The workflow facilitates Triggering, managing, and tracking training jobs while simplifying machine learning processes for model enhancement.

Provides access to up-to-date Terragrunt documentation and GitHub issue information for enhanced infrastructure-as-code development. Enables contextual querying and assistance for AI workflows or IDE integrations.