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Provides real-time weather data from KNMI (Royal Netherlands Meteorological Institute) weather stations for any location in the Netherlands.
Enables Claude to perform web searches using the Perplexity AI API and provide answers with citations.
Access live NHL game data, scores, stats, teams, and generate reports using the Model Context Protocol.
Implements a ReAct agent using LangGraph and the Model Context Protocol (MCP) to provide tools and capabilities through a unified gateway.
Connects to Typesense collections and retrieves data using an MCP client.
Enables AI assistants to efficiently retrieve GitHub data through GraphQL queries.
Enables large language models to efficiently explore and understand codebases by providing token-aware directory exploration and file content viewing.
Enables querying of live Microsoft Teams data from Large Language Models like Claude Desktop using natural language.
Analyzes blockchain wallet data and token information via the Dune API for AI assistants and MCP clients.
Manages local photos with AI features such as semantic search and face recognition.
Provides a highly configurable server for comprehensive mathematical computations with flexible transport and streaming options.
Enables AI agents and tools to access Signal Desktop chat messages and attachments via the Model Context Protocol.
Integrate SQL Server databases with AI assistants and the Warp terminal, enabling natural language querying, schema exploration, data export, and performance analysis.
Provides a standardized interface for AI models, especially Large Language Models, to securely interact with AWS S3 buckets for listing, object retrieval, and file downloads.
Expose IBM FileNet Content Manager capabilities to AI models through a standardized interface.
Extract structured information from text using large language models through a web UI and API.
Provides AI agents with a streamlined Nushell environment, offering comprehensive system interaction, structured data handling, and background task management through a minimal set of powerful tools.
Orchestrates an adversarial debate between AI agents to systematically verify code and uncover issues through dialectical reasoning.
Optimizes Large Language Model (LLM) prompts by converting data to the token-efficient TOON format, achieving significant token savings over JSON.
Establishes an AI-powered network lab for troubleshooting CCNP-level topics across diverse, multi-vendor network environments.
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