AI & ML

A bridge between Large Language Models and Robot Operating System (ROS), enabling bidirectional communication to control robots and monitor sensor data using natural language.

A Model Context Protocol (MCP) server for Gmail integration in Claude Desktop with auto authentication support.

An MCP server that provides AI systems with access to structured documentation by fetching and parsing llms.txt files from user-defined URLs.

A documentation-specialized MCP server that provides AI agents with token-efficient access to technical docs, using session history to filter results and extract only the most relevant content.

A version-aware documentation indexing server that provides AI coding assistants with up-to-date, grounded context from websites, packages, and local files via semantic search.

A powerful interface for Zotero that enables AI assistants to search research libraries semantically, extract PDF annotations, and retrieve full-text content from both local and web-based libraries.

A Model Context Protocol server that enables AI models to analyze Windows crash dumps and perform remote debugging by bridging with the WinDbg/CDB engine.

An omnimodal AIGC framework that seamlessly converts ComfyUI workflows into MCP tools with zero code, enabling full-modal support for Text, Image, Sound, and Video generation with Chainlit-based web interface.

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

Google Calendar MCP Server for managing Google calendar events. Also supports searching for events by attributes like title and location.

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

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 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 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 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 allows users to extend AI capabilities by loading and running WebAssembly plugins from OCI registries, local files, or remote URLs.

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 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.

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.

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.

A local knowledge graph system providing persistent memory for AI models through structured entities, relations, and context-aware storage. It supports both global and project-local databases with built-in safety markers to ensure secure data management.

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.