Developer Tools MCP Repositories

Facilitates seamless interaction between MCP clients and GraphQL APIs by providing tools for schema introspection and query execution. Supports secure connections using bearer token authentication when required.

Generates 3D models from text descriptions or images, focusing on parametric model creation through multi-view reconstruction and integration with OpenSCAD. Facilitates remote processing and includes an image approval workflow for model generation.

Facilitates searching private GitHub repositories while managing rate limiting and error handling. Access file contents and issues securely using a GitHub token.

Automates Node.js project setup, component generation, and TypeScript integration, providing tooling for frameworks like React and Next.js. Facilitates smart dependency management and automatic configuration for efficient development workflows.

Provides semantic search capabilities, builds and queries knowledge graphs, and facilitates AI-driven text processing through a standardized interface. Integrates vector databases with relational databases for enhanced data utilization.

Transforms Dify API into OpenAI API format for seamless interaction, supporting dynamic model configurations and error handling. Enables direct interaction with Dify services using OpenAI API clients while managing smooth output streaming.

Integrate Figma design files with AI-powered coding tools to fetch relevant metadata, enhancing design accuracy and coding efficiency. Streamlines the process of implementing designs in AI tools by enabling access to Figma's design data.

Performs scans and generates Software Bill of Materials (SBOM) in CycloneDX format, while identifying vulnerabilities in software dependencies. Facilitates integration with MCP clients for efficient scanning and reporting.

Facilitates seamless interaction with the Flow EVM blockchain by utilizing standardized JSON-RPC methods, enabling AI applications to access blockchain information effortlessly.

Browser automation through Puppeteer enables interaction with new browser instances and existing Chrome windows, facilitating automated web tasks.

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.

Streamlines documentation research by leveraging intelligent crawling and integrates MCP servers to enhance knowledge base accessibility. Facilitates faster development across various technologies by providing actionable resources from comprehensive documentation.

A curated resource for discovering free developer services and tools, specifically targeting infrastructure developers, system administrators, and DevOps practitioners. Offers a collection of SaaS, PaaS, IaaS, and APIs with free tiers to facilitate project acceleration.

HexDocs MCP provides semantic search capabilities for Hex package documentation, enabling integration with AI applications to access and find relevant documentation efficiently. It includes an Elixir binary for processing documentation and a TypeScript server that implements the Model Context Protocol to facilitate searches.

Connects Claude to the internet to gather high-quality information from websites using LSD SQL. Enables complex queries and actions while allowing Claude to self-correct SQL commands and interact with cloud browsers.

An automation platform that enables the creation of workflows by integrating over 400 tools and services, providing both code-based and no-code solutions. It supports building AI agent workflows using user-defined data and models with JavaScript or Python.

Run code snippets in various programming languages and view the results instantly. Supports a wide range of languages for testing and debugging code snippets efficiently.

Connects Claude with Perplexity's language models to facilitate advanced chat interactions and quick query responses. Enables seamless integration and dynamic conversations using powerful AI tools.

Create and customize Model Context Protocol servers using TypeScript to implement tools and operations that enhance interactions between AI models and external resources. This template includes a basic server setup with tools for simple operations like addition and demonstration tasks.

Generates images based on user prompts by interacting with a remote Comfy server. Utilizes the FastMCP framework to manage image generation workflows.

Provides SQL analysis, linting, and dialect conversion using SQLGlot, validating SQL syntax and facilitating conversion between different SQL dialects.

Manage and maintain structured memories across chat sessions to enhance project continuity and context. Save and retrieve important information over time, building a comprehensive knowledge base tailored to long-term project workflows.

Provides tools for checking Maven dependency versions and retrieving the latest versions from the Maven Central Repository.

Automate schema learning, query validation, and execution for Gel databases using natural language interactions. Integrates with EdgeQL for efficient database management and facilitates seamless connections with LLMs to enhance user interactions.

Geeker-Admin is an open-source management system framework built with Vue3, TypeScript, and Vite. It supports dynamic routing, button-level permission control, and includes a variety of reusable components and hooks to enhance development efficiency.

Manage and interact with development containers by starting environments, running user setup commands, and executing shell commands within devcontainers. Simplifies the development workflow through direct control of devcontainers.

Connects to any GraphQL API, providing access to its capabilities through strong type safety and dynamic tool generation. Automatically introspects schemas, exposes operations, and supports query whitelisting for enhanced security.

Integrate and utilize neuro-symbolic autonomy capabilities for AI assistants, enabling the execution of customizable NSAF evolution and comparison of different agent architectures. This server exposes NSAF functionalities via a simplified Model Context Protocol implementation without requiring the official MCP SDK.

Enables AI assistants to search and interact with documentation or codebases by pointing to a Git repository or local folder, allowing for natural language queries about the contents.

Integrate Large Language Models with various tools and data sources using the Model Context Protocol for secure and efficient data access. Supports implementations in both Typescript and Python to enhance LLM capabilities and streamline workflows.