Developer Tools MCP Repositories

Integrates with GitHub APIs for advanced automation and interaction capabilities for developers. Facilitates repository management, issue tracking, and workflow automation.

Expose Language Server Protocol capabilities for language intelligence features, enabling retrieval of code completions, definitions, and references across various programming languages. Supports static analysis and facilitates easy integration with MCP-compatible clients.

Integrates language models with various tools and data sources to facilitate real-time data access and action execution. Supports dynamic workflows and efficient interaction with structured input and output handling.

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.

Analyzes code repositories and conducts security assessments across various programming languages. It offers integrated scanning and reporting features for code quality and security posture enhancement, along with efficient Git operations.

Serve an MCP server within a Nuxt application to enable integration of language models with various external tools, resources, and prompts. Utilizes Redis for efficient server-sent events (SSE) transport and simplifies the setup and deployment process with a Vercel-optimized template.

Provides a standardized interface for large language models to evaluate responses using advanced evaluation criteria through the Atla API, enabling automated scoring and feedback generation for model outputs.

Programmatically control and manage iOS simulators, enabling functions such as starting, stopping, booting, and interacting with simulator instances. It supports app installation, launching, and screenshot capture through a standardized communication protocol.

Integrate software engineering capabilities through a standardized MCP interface, enabling the execution of shell commands, code analysis, and file management. This tool enhances development workflows by providing seamless access to various coding resources.

A cross-platform web UI for ChatGPT that ensures a privacy-first experience by storing data locally in the browser. It provides tools for creating, sharing, and debugging chat interactions with customizable prompts.

Provides real-time AI interactions through a streaming-capable server with support for request/response logging and retries. Facilitates integration using a Docker-based client for interactive experiences with minimal setup.

Facilitates state-based orchestration to manage task planning, execution, and context maintenance through defined agent states. Integrates various resources, tools, and prompts to enhance workflows and knowledge management with LLMs.

Manage and coordinate multiple MCP servers with automatic installation and configuration. Centralizes settings and provides comprehensive logging for troubleshooting, facilitating seamless integration with AWS services.

Execute code securely within a Docker environment while leveraging the MCP protocol. This server offers capabilities for running arbitrary code and retrieving execution results.

Provides in-depth analysis of Unreal Engine source code, focusing on class details, inheritance hierarchies, and context-aware code search capabilities.

Analyze React component files to extract detailed information about components and their props, and generate comprehensive documentation for React projects, enhancing code understanding and maintenance.

A Chrome extension for enhancing writing efficiency by quickly rewriting and optimizing text content using various AI models. Features include automatic recognition of special text patterns, customizable rewriting commands, and stock code assistance.

Leverage advanced analytical thinking capabilities to break down complex problems, generate thoughtful responses, and maintain session persistence for ongoing analysis. This server provides insights, confidence levels, and alternative approaches to enhance the problem-solving process.

An MCP server for executing Python code to interact with AWS resources via the boto3 library, allowing management operations based on user role permissions.

Execute Python code within a specified Conda environment, enabling access to libraries and dependencies. Supports incremental code generation for handling large code blocks that may exceed token limits.

Access Mathematica documentation and function references to streamline coding tasks. Retrieve detailed information on functions, packages, and add-ons to facilitate integration of Mathematica's capabilities into applications.

Diffs and patches JavaScript objects and arrays, enabling change tracking and state reversion through a simple API.

Provides access to conversational AI capabilities, enabling multi-turn dialogues and internet searches with zero configuration deployment. Fully compatible with ChatGPT interfaces for enhanced interaction.

Expose VSCode's development tools and language features to AI tools, enabling advanced code navigation, analysis, and manipulation. Seamlessly integrates with the development environment to enhance productivity and efficiency when working with AI coding assistants.

Integrates Claude Desktop with Neovim using the Model Context Protocol (MCP), allowing interaction with Neovim's text editing features and workflows. Enables viewing of current buffers, accessing cursor locations, executing Vim commands, and making text edits through a socket connection.

Analyze web accessibility of any URL and simulate color blindness using color matrices. The server provides detailed reporting based on the accessibility analysis results.

Integrates various AI models with different data sources and tools through a standardized protocol, enabling seamless data access and manipulation. Facilitates interaction with a growing list of pre-built integrations for enhanced application capabilities.

Provides secure execution of shell commands only in specified directories while supporting multiple shells across platforms. It includes timeout control for executing commands safely and effectively.

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

Interfacing with GraphQL APIs, enabling LLMs to execute queries and perform schema introspection dynamically.