Developer Tools MCP Repositories

Integrate with GitLab repositories for project search, file management, and issue handling. Supports multi-file commits, repository forking, and creating branches with enhanced schema validation.

Execute shell commands securely with whitelisted options, ensuring controlled and monitored execution for machine learning applications.

Enables browser automation with video recording capabilities, allowing interaction with web pages through structured accessibility snapshots. Supports navigation, form-filling, data extraction, and automated testing without relying on visual inputs.

Provides semantic code search capabilities by locally indexing codebases using ChromaDB. Enables efficient and context-aware code exploration for development tools.

Facilitates access to Figma files and prototypes, enabling integration of design assets directly into AI coding environments. Streamlines design workflows by connecting AI agents with Figma's design resources.

Parses JavaScript error stack traces to map them back to the original source code, enabling quick identification and resolution of issues. Supports batch parsing and context extraction for improved debugging.

Provides resource-based access to AI model inference specifically for image generation, facilitating the creation of high-quality images from text descriptions with options for style control and quality presets. Includes features for model discovery, webhook integration, and secure API key management.

Interact with EPICS process variables to retrieve and set values, and fetch detailed information about PVs, facilitating integration into automated workflows and monitoring solutions.

Explore and analyze codebases through conversational queries, enabling users to search and retrieve specific code chunks effortlessly by breaking down files into logical sections.

Facilitates structured thinking by breaking down complex problems into sequential steps, allowing users to track their thought progression and generate summaries of their reasoning.

Provide basic arithmetic operations as callable tools for Large Language Models via the Model Context Protocol. Perform addition, subtraction, multiplication, and division with input validation to prevent errors like division by zero. Enable seamless integration of calculator functions into LLM workflows for enhanced computational capabilities.

Integrate directly with a VS Code workspace to list files, read and edit code, search symbols, check diagnostics, and execute shell commands, enabling AI models to enhance coding workflows.

Memento is a knowledge graph memory system that facilitates semantic search and contextual recall, enabling LLM applications to manage and retrieve information with temporal awareness. It offers a persistent and adaptive long-term memory structure through ontological entity nodes.

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

Execute system commands securely with a focus on user confirmation, input validation, and audit logging to ensure safe command usage. Integration with LLM applications enables controlled command execution with a whitelist approach.

Transforms basic prompts into structured instructions for large language models to improve interaction quality and response comprehension.

Facilitates the creation and management of AI agents that engage in natural language interactions and collaborate to solve problems. Supports orchestration of both individual and group conversations with customizable configurations and built-in error handling.

Execute macOS terminal commands securely through the MCP with features like command whitelisting and an approval workflow for potentially dangerous commands. Supports safe execution of commands managed by predefined security levels.

Provides access to financial data including company financial statements and market insights, facilitating enhanced analysis and decision-making through integration with LLMs. Features built-in error handling and comprehensive API access for financial data retrieval.

Perform local web searches and extract relevant content from web pages, returning structured results including titles, URLs, and descriptions. The server supports customizable result limits, content truncation, domain filtering, and utilizes headless browser operations for enhanced performance.

Control Windows environments via a command-line interface with unrestricted access to files, processes, and system settings. Designed for environments where SYSTEM-level privileges are appropriate and security risks are managed.

Proxies requests from clients to JetBrains IDEs, enabling integration with various tools and data sources through the Model Context Protocol.

Orchestrates multi-agent workflows by managing tasks and agents configured through YAML files, facilitating communication with Large Language Models and various tools. Supports local development and testing for building intelligent applications.

An unofficial SDK for implementing Model Context Protocol servers using JavaScript, facilitating the creation of prompts, resources, and tools for AI model interaction.

Integrate OpenAI's chat models into applications with seamless message passing and basic error handling. Supports multiple models including gpt-4o and o1 for enhanced AI interactions.

Integrates advanced web, code, and file operations with Supabase for database management, providing tools for web scraping, code analysis, and file handling alongside AI-powered functionalities for intelligent analysis and self-improvement based on usage patterns.

Connects Cloudflare Workers to various MCP clients for real-time interaction and customization, enabling serverless function integration.

Transfers Docker images from various repositories to Alibaba Cloud's private registry, providing support for large images and utilizing official Alibaba Cloud routes for efficient transfers.

Analyzes the structure of GitHub repositories and identifies important files within them. Provides insights into repository organization and content.

Provides LLM Agents with AI-powered Deepseek-Reasoning mentorship capabilities, enabling functionalities such as code review and design critique.