Developer Tools MCP Repositories

Integrates DeepSeek R1's advanced reasoning engine with Claude to enhance reasoning capabilities for complex tasks. Supports intricate multi-step reasoning for improved precision and efficiency.

Manage Terrakube workspaces, variables, modules, and organizations through a comprehensive API. Ensure type safety and robust error handling while simplifying operations and enabling flexible environment configurations.

Access coding style guidelines and best practices for technologies like Java, Python, and React to improve code quality and maintainability. Offers structured resources on naming conventions, organization, and framework-specific coding practices.

Analyzes Git changes in a repository and generates conventional commit messages using AI. Summarizes modifications, additions, and deletions with detailed insights into the files changed.

Perform real-time Google searches while bypassing anti-bot mechanisms and handling CAPTCHAs automatically. Extract structured search results in various languages and regions to support AI assistants.

Facilitates communication between ABAP systems and MCP clients, providing tools for managing ABAP objects, handling transport requests, and performing code analysis. Acts as a wrapper for the abap-adt-api, enhancing ABAP development workflows.

Provides an AI-powered SEO toolkit with capabilities for generating keywords, optimizing meta tags, automating article workflows, and engaging in AI chat interfaces. Operates locally with privacy through Ollama integration and features a user-friendly Streamlit interface.

Process and manage Outlook emails with capabilities for storage, search, and analysis. Features include date range filtering, semantic search through vector embeddings, and support for summarization and automatic categorization.

Facilitates the creation, sharing, and utilization of custom AI code assistants within development environments, providing intelligent code suggestions, chat assistance, and quick actions. Integrates seamlessly with IDEs for an enhanced coding experience.

Access Magic: The Gathering Chinese card data through powerful query tools. Search cards by complex criteria, retrieve specific card sets, and obtain detailed card information for integration into various applications or workflows.

Manage a coding project's todo list by viewing, adding, updating, and deleting todo items while tracking their status and details.

Explores and interacts with OpenAPI specifications, enabling efficient access to detailed API structures from both local files and remote URLs. Facilitates easier comprehension and utilization of APIs without overloading an AI model's context.

Enables Large Language Models to interact with OpenFGA stores, facilitating reading, searching, and manipulation tasks. Supports fine-grained authorization through agentic AI and vibe coding.

Langflow provides a low-code interface for building and managing AI applications. It facilitates the creation, testing, and deployment of workflows using various models and APIs without requiring extensive coding knowledge.

A Python-based MCP server designed for software development tasks that integrates with multiple LLM providers, offering real-time visualization and cost management. It supports multi-agent synchronization for intricate problem-solving scenarios.

The Deepseek R1 MCP Server allows the Deepseek R1 language model to connect with various tools and data sources, enabling enhanced reasoning and conversation capabilities with a large context window of 8192 tokens.

Create new Model Context Protocol servers using templates and tools for scaffolding MCP projects. It provides essential components and configurations for seamless integration with Claude Desktop.

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.

Perform CRUD operations on Elementor page data, integrating seamlessly with WordPress to manage and streamline Elementor project workflows.

Rewrites coding prompts to improve their effectiveness for Cursor AI and similar AI IDEs, utilizing the Claude model by Anthropic for enhanced prompt formatting.

A deliberately vulnerable implementation of the Model Context Protocol (MCP) designed for security researchers to explore and learn about common vulnerabilities in AI/ML model serving systems, including issues like unsafe model deserialization and input injection.

Enables cloud server configuration and deployment with a focus on microservices architecture and data streaming technologies, integrating tools like Kafka, Flume, and Elasticsearch for robust system building. Supports AI and Python functionalities to enhance applications.

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.

Expose multiple AI tools over an SSE transport with secure JWT-based authentication, enabling dynamic tool registration and session management.

Framework for developing mobile applications that run on Android, iOS, and the web using a single codebase. Supports building, testing, and deploying applications with a range of libraries and tools.

Integrates multiple AI services, providing a unified command-line interface for accessing tools, managing files, and interacting with language models. Facilitates seamless communication between various APIs without reimplementing them.

Generates flowcharts and diagrams from text descriptions or Mermaid code and exports them as high-quality PNG images. Integrates seamlessly with MCP clients to interpret user inputs and produce visual representations of complex workflows.

A flexible admin interface designed for rapid application development using open-source technologies like Vue3 and Element Plus. It provides a rich set of customizable components for building applications efficiently.

Connects to Xcode for project management, enabling operations such as building, testing, archiving, code signing, and deployment to iOS devices. It also supports Swift Package Manager and iOS Simulator management.

Analyzes Git repositories to provide Dockerfile creation guidance, detect dependencies, and identify programming languages. Offers detailed recommendations for both public and private repositories to streamline development workflows.