Developer Tools MCP Repositories

Facilitates browser automation through structured accessibility snapshots, enabling interaction with web pages without visual models. Supports web navigation, form-filling, data extraction, and automated testing with a deterministic approach.

Integrate with GitHub's APIs to automate workflows, manage issues, and analyze repository data. Build AI tools that interact with the GitHub ecosystem through customizable toolsets.

Connect Claude AI to Ableton Live for prompt-assisted music production, enabling manipulation and control of MIDI and audio tracks, clip creation, and session management.

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.

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.

Standardizes access to tools and data for AI applications, facilitating dynamic tool discovery and execution through a unified interface. It serves as a central hub for managing context and tool integration in AI models.

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.

Curated access to the latest development documentation and best practices for AI assistants, facilitating knowledge retrieval and application of current industry standards.

Collects and organizes code from directories while providing tools for code analysis and documentation generation using the OpenAI API.

Collects and documents code from projects into markdown, providing tools for code analysis and documentation.

Provides dynamic access to a variety of functions managed by ACI.dev through two types of MCP servers: one for app-specific tool access and another for unified discovery and execution of tools. Supports efficient function calling to enhance agents without overloading the model's context window.

Offers a project-centric database for managing contextual information throughout development workflows. Facilitates seamless retrieval and recall of project context, enhancing productivity and fostering intelligent code connections.

Connects AI agents to the Akash Network for deploying applications, managing leases, and accessing services. Utilizes typed tools for efficient operations within the Akash infrastructure.

Create and deploy custom AI tools that integrate with AI assistants to enhance their functionality through serverless functions. Supports seamless interaction with various MCP clients, enabling broader use of AI capabilities.

Generates unique identifiers using UUIDs, providing an easy way to create new IDs on demand for applications.

Integrate Argo CD management through natural language, enabling interaction with applications and workflows. Supports communication via stdio and Server-Sent Events for seamless development integration.

Search Metal Framework documentation and generate Metal code for common tasks using natural language queries. Supports querying documentation and generating code in Objective-C, Swift, or Metal based on task descriptions.

Integrates with various LLM clients to provide standardized access to different data sources and tools. Enables seamless data access and manipulation through a standardized protocol for AI applications.

Expose customizable prompt templates and tools to assist in software development. Integrate a conversational LLM for refining ideas, generating tests, and creating project blueprints while streamlining the coding process with web search and documentation resources.

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.

Run arbitrary JavaScript code in isolated Docker containers with the capability for on-the-fly npm dependency installation and management of sandbox sessions for flexible code execution.

An MCP server that facilitates interaction between Claude Desktop and Google's Gemini AI models, supporting real-time response streaming and secure API key handling while allowing for customizable model parameters.

Enhances AI applications by hosting MCP servers with unified authentication, rate limiting, and observability. Simplifies deployment and management through a plugin mechanism for rapid integration of new capabilities.

Integrates OpenAI's tools for web search and code interpretation into MCP-compatible models, enhancing AI applications with powerful functionality.

Facilitates interaction between AI models and Ansys/AGI STK for advanced simulation tasks, enabling control over STK Desktop using natural language. Allows users to create simulation scenarios and manage satellite configurations through an intuitive MCP interface.

Interact with Windows command-line functionality, execute commands, create projects, and retrieve system information with enhanced security protocols.

Implementation of the Model Context Protocol for controlling iOS Simulator operations, enabling interactions with the simulator through both STDIO and HTTP modes.

Connects to multiple AI models including OpenAI, MistralAI, Anthropic, xAI, Google AI, and DeepSeek using the MCP protocol for versatile AI interactions.

Captures and manages stdout logs from multiple processes, providing real-time monitoring and a standardized interface for querying, filtering, and analyzing logs. Facilitates debugging by enabling easy log retrieval through named pipes.

Facilitates communication between AI assistants and Google's Gemini API for tasks such as text generation, analysis, and chat. Processes client requests and manages responses while ensuring secure message exchange and error handling.