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Provides a Gradio web interface for locally running various Llama 2 models on GPU or CPU across different operating systems.
Crawls, extracts, and organizes technical documentation into an LLM-ready format, streamlining research and implementation for developers.
Facilitates communication between MCP clients and servers by bridging different transport protocols like stdio and SSE.
Streamline LLM Agent development with an all-in-one library offering tools, prompts, frameworks, and models.
Automates software development task management for AI agents, facilitating chain-of-thought reasoning and code consistency.
Enables AI assistants to search and analyze arXiv papers through a simple Model Context Protocol interface.
Empowers AI agents and coding assistants with web crawling and retrieval-augmented generation (RAG) capabilities.
Create custom chatbots with personalized knowledge bases using advanced language models.
Accelerate the development and research of complex Retrieval-Augmented Generation (RAG) systems with a low-code, modular framework.
Provides a Model Context Protocol (MCP) server for accessing and interacting with Grafana instances and their surrounding ecosystem.
Enables protocol-level interaction with a Model Context Provider server, allowing users to send commands, query data, and interact with server resources.
Exposes comprehensive browser functions via the Model Context Protocol, enabling external applications and AI models to programmatically interact with a web browser.
Automates interactions with Twitter, including scraping data, sending tweets, and engaging with Grok AI, all without needing the official Twitter API.
Enables interaction with native Apple apps like Messages, Notes, and Reminders through the Model Context Protocol.
Enables the development, deployment, and scaling of web browsing agents through a single API.
Transforms any documentation website into a production-ready Claude AI skill in minutes.
Enables human-in-the-loop workflows for AI-assisted development tools by providing a simple Model Context Protocol (MCP) server.
Integrates any LLM supporting function calling capabilities into a desktop application.
Facilitates communication with MCP servers by providing a LangGraph agent and a CopilotKit-powered frontend.
Integrate and manage MCP (Model Context Protocol) servers within Neovim, offering a centralized configuration and intuitive UI.
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