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Enables LLMs to control cloud browsers for web interaction, data extraction, and task automation using Browserbase and Stagehand.
Build a persistent semantic graph from conversations with AI assistants using standard Markdown files.
Converts various file types and web content into Markdown format.
Enables communication between Unity and Large Language Models for automating workflows and controlling the Unity Editor.
Enables interaction with an Obsidian vault via the Obsidian Local REST API plugin.
Provides a Model Context Protocol (MCP) server for accessing and interacting with Grafana instances and their surrounding ecosystem.
Programmatically assembles prompts for LLMs using JavaScript to orchestrate LLMs, tools, and data in code.
Enables n8n workflows to interact with Model Context Protocol (MCP) servers for accessing resources, executing tools, and utilizing prompts.
Connects Supabase projects to AI assistants via the Model Context Protocol (MCP).
Documents potential implementations for Nostr-compatible relay and client software.
Provides all-in-one infrastructure for search, recommendations, Retrieval-Augmented Generation (RAG), and analytics via API.
Build a comprehensive personal knowledge base with this open-source note-taking application.
Exposes MCP stdio-based servers over SSE or WebSockets, enabling remote access and integration.
Provides a TypeScript framework for constructing Model Context Protocol (MCP) servers.
Build Java enterprise applications with a restrained, efficient, open, and ecological framework.
Index and search code across multiple repositories and branches from various code hosting platforms.
Provides a catalog of official Microsoft MCP server implementations for AI-powered data access and tool integration.
Create and configure development containers from devcontainer.json files, providing isolated development environments.
Enhances AI model reasoning by making it recursively evaluate and refine its responses through self-argumentation.
Captures screenshots on macOS without user interaction, enabling AI assistants to visually analyze UI bugs, designs, and data.
Serve, benchmark, and deploy large language models (LLMs) on various hardware platforms.
Provides an open-source, cloud-native LLMOps platform for designing, deploying, observing, and managing AI applications.
Provides AI assistants with comprehensive access to shadcn/ui v4 components, blocks, demos, and metadata via the Model Context Protocol.
Provides a high-performance, resilient AI gateway for connecting to multiple large language model providers through a single, unified API.
Experience AI Xiaozhi's voice and smart assistant functionalities through a versatile Python-based client, enabling access without dedicated hardware.
Automate and control various Apple applications and services through the Model Context Protocol.
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.
Enables AI agents to control web browsers via a Chrome extension, offering full Playwright API access with minimal context overhead.
Stream hand-drawn diagrams with smooth camera control and interactive editing within Model Context Protocol (MCP) compatible clients.
Securely save or export your private and public Slack messages, threads, files, and user data locally without requiring administrator privileges.
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