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Build AI applications that can learn and answer questions over large-scale federated data sources using a federated query engine.
Fetches up-to-date documentation and code examples for LLMs and AI code editors directly from the source.
Conducts in-depth web and local research on any topic, generating comprehensive reports with citations.
Enables advanced automation and interaction capabilities with GitHub APIs for developers and tools using the Model Context Protocol.
Streamline AI-driven development workflows by automating task management with Claude.
Automates browser interactions for Large Language Models (LLMs) using Playwright.
Facilitates the creation of Model Context Protocol (MCP) servers with a Pythonic interface.
Builds and queries temporally-aware knowledge graphs tailored for AI agents operating in dynamic environments.
Automates browser-based workflows using LLMs and computer vision for robust and adaptable web interactions.
Turns an LLM into a coding agent that works directly on your codebase by providing semantic retrieval and editing capabilities.
Connects Blender to Claude AI, enabling prompt-assisted 3D modeling, scene creation, and manipulation.
Autonomously builds, refines, and optimizes other AI agents using an advanced agentic coding workflow and framework knowledge base.
Facilitates building and deploying fully-managed AI agents and long-running workflows with built-in durability and observability.
Provides coding agents with programmatic access to Chrome DevTools for comprehensive browser control, inspection, and debugging.
Provides an open-source curriculum designed to teach the concepts and fundamentals of the Model Context Protocol (MCP) through practical code examples.
Provides AI coding agents with simplified Figma layout information via the Model Context Protocol.
Streamlines the integration of GenAI tools with databases by handling complexities like connection pooling and authentication.
Create and manage high-performance macOS and Linux virtual machines on Apple Silicon, with built-in support for AI agents.
Exposes FastAPI endpoints as Model Context Protocol (MCP) tools with zero configuration.
Connects APIs and automates workflows with a low-code platform designed for developers.
Orchestrates multiple AI models to enhance Claude's capabilities for advanced code analysis, problem-solving, and collaborative software development.
Orchestrates intelligent multi-agent swarms and autonomous workflows to build advanced AI systems.
Reach inbox zero quickly with this open-source AI email assistant and client.
Connects AI assistants to n8n's vast library of workflow automation nodes, enabling AI to discover, understand, and build complex workflows efficiently.
Extracts and downloads content from XiaoHongShu (RedNote), including user posts, collections, likes, albums, and search results, while removing watermarks.
Exposes Chrome browser functionality to AI assistants for complex browser automation, content analysis, and semantic search.
Provides a Go framework for building LLM/AI applications.
Provides a developer-friendly, embedded retrieval engine for multimodal AI, enabling efficient search and data management.
Unifies metadata for data discovery, observability, and governance through a central repository, in-depth column-level lineage, and seamless team collaboration.
Provides a reactive database backend designed for web app developers to fetch data and perform business logic with strong consistency using TypeScript.
Provides a reliable memory layer for AI applications and AI agents, enhancing response accuracy and reducing hallucinations.
Simplifies building AI agents using Model Context Protocol and composable workflow patterns.
Implements the Model Context Protocol (MCP) in Go, facilitating integration between LLM applications and external data sources and tools.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Provides an open-source AI observability platform designed for experimentation, evaluation, and troubleshooting of LLM applications.
Provides a backend service for ESP32 devices, enabling rapid deployment of custom intelligent control servers.
Visually tests and debugs Model Context Protocol servers.
Bring AWS best practices directly into development workflows with a suite of specialized Model Context Protocol (MCP) servers.
Enables AI-powered applications to monitor and interact with browser data via a Chrome extension and MCP.
Transforms any GitHub project into a documentation hub accessible to AI tools, preventing hallucinations by providing accurate and up-to-date context.
Enhances ChatGPT's capabilities by providing advanced custom instructions for both general conversational and specialized coding tasks.
Converts a codebase into a single, structured prompt suitable for large language models.
Provides an AI-native API gateway for cloud-native applications, extending Envoy and Istio with Wasm plugins.
Retrieves transcripts and subtitles from YouTube videos, including automatically generated ones, without requiring an API key or headless browser.
Enables Large Language Models (LLMs) to autonomously reverse engineer applications by exposing Ghidra's core functionality through an Model Context Protocol (MCP) server.
Provides a programmatic interface to automate content publishing, feed retrieval, and search functionalities on Xiaohongshu.com.
Create, customize, and engage in real-time conversations with AI characters across web, mobile, and terminal platforms.
Defines a specification and schema for the Model Context Protocol.
Collects, stores, distributes, and shares cybersecurity indicators and threats.
Create and host AI companions with personalized personalities and conversational memory, accessible via browser or SMS.
Orchestrates automated workflows by connecting AI models with various tools and resources using MCP.
Provides a self-hosted web interface and API for interacting with large language models via llama.cpp.
Automates web interactions for AI agents and applications without managing infrastructure.
Provides a unified, cloud-native observability database for metrics, logs, and traces, supporting SQL, PromQL, and streaming analytics.
Facilitates agentic AI communication between Cursor and Figma, enabling programmatic reading and modification of design files.
Build and deploy open-source Model Context Protocols (MCPs) on Slack, Discord, and the web.
Compares and patches JavaScript objects, generating compact deltas for efficient updates and reversions.
Enables integration between WhatsApp and Large Language Models via the Model Context Protocol (MCP).
Enables programmatic interaction between Cursor AI and Figma, allowing for design reading and modification.
Automates browsers and APIs, enabling Large Language Models (LLMs) to interact with web pages for tasks like screenshot capture and JavaScript execution.
Extracts text and metadata from web pages and online resources, offering various output formats.
Build AI-powered applications with this open-source framework for Node.js and Go.
A curated list of Model Context Protocol (MCP) servers that enable AI models to securely interact with local and remote resources.
Integrates powerful web scraping and content extraction capabilities into LLM clients like Cursor and Claude.
Extends Claude's desktop app capabilities with terminal control, filesystem operations, and file editing.
A curated collection of Model Context Protocol (MCP) resources tailored for Chinese users, providing introductions, clients, servers, and community links to facilitate quick adoption of this AI communication standard.
Enables AI applications to control a user's existing browser instance.
Facilitates adversary simulation and red team operations through a flexible platform with integrated AI.
Provides an all-in-one, intelligent automation testing solution for API, UI, and performance testing across multiple platforms.
Empowers LLMs with advanced web scraping capabilities for content extraction, crawling, and search functionalities.
Enhances AI coding agents by providing semantic code search and deep context from an entire codebase.
Leverage any Large Language Model to generate comprehensive, privacy-focused research reports.
Empowers AI agents with autonomous offensive cybersecurity capabilities by integrating over 70 professional security tools.
Enables vibe reversing in IDA Pro through a Model Context Protocol server.
Collects and aggregates domestic enterprise information from various sources to aid in reconnaissance tasks.
Enables secure execution of untrusted user-generated code and AI code.
Provides an open-source implementation of the ChatGPT Code Interpreter using LangChain for sandboxed Python code execution.
Generate modern UI components instantly from natural language descriptions within your IDE.
Accelerates software development by providing an AI coding assistant that understands codebase context to help write, fix, and explain code.
Enables building LLM-powered applications through a multi-agent programming paradigm.
Provides an open-source implementation of OpenAI's ChatGPT Code interpreter, enabling users to generate and execute code through natural language prompts.
Exposes any MCP tool as an OpenAPI-compatible HTTP server.
Provides a streamlined Python interface for easily interacting with AI chat models like ChatGPT and GPT-4, emphasizing efficiency and minimal code complexity.
Integrates Confluence and Jira with Model Context Protocol (MCP) for enhanced workflow automation and data accessibility.
Empower ChatGPT with long-term memory by creating custom knowledge bases from uploaded documents and retrieving relevant answers using the OpenAI and Pinecone vector database stack.
Implements a Model Context Protocol (MCP) server for the Notion API, enabling AI-driven interaction with Notion content.
Automates complex engineering tasks by integrating with developer tools and leveraging AI for planning, execution, and iteration.
Defines, prompts, and tests MCP-enabled agents and workflows.
Enables seamless integration between AI agents and the Windows operating system.
Provides access to large language and vision-language models based on linear attention for various natural language and multimodal tasks.
Provides containerized development environments, enabling multiple coding agents to work safely and independently with diverse tech stacks.
Provides an open-source, cloud-native LLMOps platform for designing, deploying, observing, and managing AI applications.
Enables AI assistants like Claude to perform web searches using the Exa AI Search API.
Provides an open-source memory layer specifically designed for AI coding agents.
Generates images, text, and audio from text prompts using a free and open-source API.
Generates visual charts from data using the Model Context Protocol and AntV.
Manages Cloudflare resources using natural language commands via the Model Context Protocol (MCP).
Provides a quick start guide for programming with the Model Context Protocol (MCP) in Chinese.
Connect AI models to thousands of APIs, data sources, and tools with a single function call, abstracting away the complexities of the Model Context Protocol.
Transforms AI agents into specialized experts through a revolutionary conversational context engineering platform.