Development Tools

A toolset that integrates with Vite and Nuxt development servers to provide Model Context Protocol (MCP) capabilities, helping AI models better understand and interact with your web application's structure and state.

A middleware bridge that translates OpenAI API requests into MCP tool calls, allowing any OpenAI-compatible client to utilize MCP servers and tools.

A comprehensive community-driven directory and aggregator of Model Context Protocol (MCP) implementations, featuring official and community servers across dozens of categories.

A specialized MCP server that allows Claude and Cursor to explore, summarize, and understand any OpenAPI specification via oapis.org.

Agentic Radar is a security scanner for AI agent workflows that enables developers to visualize architectures, detect MCP servers, identify tool-based vulnerabilities, and perform adversarial testing.

A comprehensive GitLab MCP server that enables AI models to interact with GitLab's API, supporting projects, merge requests, issues, pipelines, wikis, and milestones with multi-user OAuth and personal access token support.

A robust MCP server that integrates browser-use and Playwright to provide AI assistants with real-time web automation, deep research capabilities, and a machine-learned skill system for efficient web interaction.

Real-time interaction with Jupyter Notebooks, allowing AI to edit, document and execute code for data analysis, visualization etc. Compatible with any Jupyter deployment (local, JupyterHub, ...).

A comprehensive platform for building and managing AI agents via a no-code visual builder or a TypeScript SDK with full 2-way synchronization. It supports multi-agent workflows, observability, and integration with the Model Context Protocol (MCP).

A highly extensible and secure MCP server that allows developers to add capabilities using sandboxed WebAssembly plugins written in any language.

A fast and secure MCP server that dynamically extends its capabilities by running WebAssembly (Wasm) plugins from OCI registries or local files. It provides a sandboxed environment for AI tools with support for stdio, SSE, and streamable-http protocols.

A laboratory and experimentation hub for integrating Azure API Management (APIM) with the Model Context Protocol (MCP) to manage AI tools, credential authorization, and security for Large Language Models.

A fast and secure MCP server that allows users to extend AI capabilities by loading and running WebAssembly plugins from OCI registries, local files, or remote URLs.

A centralized MCP server for managing multi-project memory banks, providing remote access to file-based state and context for AI assistants.

A minimalistic MCP client with a good feature set.

A structured reasoning server that helps users break down complex problems into methodical, sequential thinking stages with metadata tracking and progress visualization.

A robust, modular Go framework designed for building production-grade backend applications with built-in support for observability and dependency injection.

A declarative framework that turns Markdown files and CLI tools into shareable LLM applications and MCP-compatible services. It allows users to define tools like SQL clients, grep, or curl directly in Markdown frontmatter to create modular AI agents.

Golf is a production-ready framework for building and scaling MCP servers with built-in support for enterprise authentication, OpenTelemetry, and automatic tool discovery.

The official MCP server for SEED Design documentation, providing structured access to design system specifications and library documentation.

A security-oriented runtime that enables AI agents to dynamically load and execute WebAssembly components as tools within a secure Wasmtime sandbox.

A unified context engineering infrastructure that provides secure, OAuth-managed MCP connections to 38+ services like GitHub, Slack, and Notion via a single endpoint.

An MCP server that enables AI agents to control web browsers using the browser-use framework, supporting OpenAI's GPT-4o for navigation and task execution.

A self-hosted registry and gateway that centralizes management for multiple MCP servers, allowing organizations to control tool access, monitor interactions, and provide a single endpoint for AI agents.

A design reference project for a compliant, modern Bank API that exposes its OpenAPI operations as tools via the Model Context Protocol.

VectorCode is a repository indexing tool that uses semantic search and chunking to provide task-relevant code context to LLMs, reducing hallucinations in coding tasks.

An MCP server for codebase indexing and semantic search that provides automatic incremental updates, .gitignore integration, and multi-encoding support to find relevant code snippets.

A specialized MCP server that deploys autonomous Browser-Use agents to perform multi-agent QA testing on local or live websites for UI, accessibility, and technical defects.

MCP (Model Context Protocol) Server. Execute code in a secure WebAssembly sandbox supporting Python, JavaScript, C, C++, Ruby, and PHP

connects QGIS to Claude AI through the MCP. This integration enables prompt-assisted project creation, layer loading, code execution, and more.