Developer Tools MCP Repositories

Seamlessly generate AI images directly within development environments by leveraging local Stable Diffusion models and precise control over parameters. Integrate with MCP-compatible IDEs to facilitate creative development without disruption.

Dynamically fetch and generate tool functions from SuperiorAPIs using fetched plugin metadata and OpenAPI schemas. Execute API calls with asynchronous processing and runtime tool registration.

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.

Deploy a remote MCP server on Cloudflare Workers featuring OAuth login for secure access. It facilitates integration of LLMs with various tools and real-world data through a seamless connection with MCP clients.

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.

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.

Generate and query a graph representation of codebases, identifying entities and their relationships across multiple programming languages for enhanced code analysis. Streamline development processes by visualizing function calls, inheritance, and implementations.

A backend management system built on Spring Boot that supports user management, role management, menu management, and offers code generation for both front and back end. It integrates various tools for operational management and performance monitoring.

Basic Model Context Protocol (MCP) server implementation in TypeScript, featuring a sample BMI calculator tool and input validation through Zod. Supports communication via standard I/O, providing a foundation for building custom MCP tools.

Retrieve detailed information about Drupal modules directly from drupal.org, including version compatibility and installation instructions.

Provides enriched context from a project's codebase for advanced semantic code search and interaction, improving AI client efficiency and understanding of the repository.

Utilizes CodeLogic's software dependency data to provide impact assessments for code changes and analyze impacts between code and database entities. Integrates with development environments to improve coding insights and workflows.

KKJSBridge enhances the WKWebView experience by providing offline packages, enabling Ajax requests, and synchronizing cookies. It supports modular JSAPI management and allows control over Ajax hooks from both native and HTML5 frameworks.

Facilitates communication between Unity and Large Language Models, enabling workflow automation and asset manipulation within the Unity Editor. Integrates LLM capabilities for managing assets, controlling scenes, and editing scripts directly in Unity.

Connects to a Coreflux MQTT broker to access various Coreflux actions and commands, enabling integration with MCP-compatible AI assistants. Facilitates discovery and execution of commands, rules, and routes using MQTT protocols.

Provides a foundational framework for developing Model Context Protocol servers in Python, facilitating the creation and management of AI-assisted tools and integrations.

Enables explicit reasoning mode for Claude in Cursor, allowing users to view Claude's step-by-step thought processes and final answers. Start messages with 'think' to trigger detailed problem solving and analysis in chat interactions.

Connects DeepSeek's language models with MCP-compatible applications, enabling users to integrate advanced AI capabilities seamlessly. Offers anonymous access to the DeepSeek API while masking user identity behind a proxy.

Facilitates the creation and management of multiple customized MCP servers by automating file management and integrating various MCP tools. Provides robust error handling and debugging support for development environments.

Integrates essential pentesting tools into a unified natural language interface for executing, chaining, and analyzing multiple security assessment tools. Enhances efficiency in penetration testing through conversational commands.

Connect AI assistants to various external services and tools through a robust framework, enabling data manipulation and powerful interactions. Supports integrations with Jira and Linear for enhanced project management capabilities.

Interact with Marvel characters and comics data using the Marvel Developer API. Fetch character details, comic issues, and related content effortlessly.

Enhances reasoning capabilities by providing a structured thinking space for complex problem-solving with a record of thought history and analysis. Facilitates improved decision-making in scenarios involving long chains of tool calls.

Create, deploy, and manage continuous AI agents that automate complex workflows using a library of pre-configured options or custom-built agents.

Enable AI applications to capture and analyze browser data through a Chrome extension, facilitating browser monitoring and interaction. Conduct audits for accessibility, performance, SEO, and best practices directly from the development environment.

Retrieve and analyze entire codebases, enabling AI agents to understand complex projects and enhancing developer collaboration. Supports processing of remote repositories and allows saving of codebase analyses for future use.

Facilitates secure code building and release management by automating dependency handling, formatting, and versioning processes. Ensures projects maintain updated dependencies and supports streamlined continuous integration workflows.

A server for developing and deploying interactive React applications, facilitating UI creation and state management in a streamlined development environment.

Connects AI models to various tools and data sources, facilitating intelligent task delegation and optimizing workflows by routing tasks to suitable models for cost-effective and high-quality outputs.

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.