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Query Feyenoord football match data using natural language with this Model Context Protocol (MCP) server.
Ingests APIs, SDKs, and schemas for consumption by AI models via the Model Context Protocol (MCP).
Provides a unified Docker package containing 14 diverse Model Context Protocol servers for AI model integration.
Unifies AI and automation capabilities into a command center for multi-provider chat, workflow chaining, and seamless integration with external services.
Provides a comprehensive set of tools for accessing, searching, and managing personal and team internal knowledge repositories.
Provides LLM clients with dynamic access to up-to-date implementation details and documentation from popular AI libraries like LangChain, LlamaIndex, and OpenAI.
Extracts clean, LLM-ready content from any URL using Jina AI's Reader API for intelligent web reading, delivered as a Model Context Protocol server.
Empowers AI assistants to securely connect with external tools and data sources, extending their capabilities.
Enables AI tooling to seamlessly connect with ROS2 nodes, topics, and services using the Model Context Protocol over stdio.
Connects AI assistants and Large Language Models to GitHub, Confluence, and Databricks environments via the Model Context Protocol.
Track real-time AI/LLM research advancements across multiple academic and development platforms.
Access Mixpanel analytics data, including events, retention, funnels, and cohorts, through natural language conversations with Claude.
Orchestrates enterprise-grade distributed AI development workflows, providing an intelligent coding agent platform.
Enhances LLM context with Retrieval-Augmented Generation by ingesting and searching across various document formats.
Generate high-quality images rapidly from text prompts using an intuitive web interface.
Search and analyze submissions from the Zenn AI Agent Hackathons using an AI agent and a chat-based web UI.
Facilitates document review with an interactive in-browser editor and LLM-powered tools, dynamically generating its user interface at runtime using the Model Context Protocol.
Exposes a .NET REST API for managing books and categories to AI models using the Model Context Protocol (MCP).
Integrates IBM watsonx.ai foundation models and services, enabling delegation of AI tasks from Claude.
Empower AI agents with a comprehensive financial valuation engine for Small and Medium-sized Enterprises, leveraging DCF, Multiples, and Football Field analyses.
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