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Manages data and command exchanges within an MCP (Multi-Client Protocol) environment.
Connects Large Language Models to live Zoho Books data for natural language querying.
Extracts detailed information from businesses and places saved within a Google Maps list.
Provides real-time Brave Search results via Server-Sent Events (SSE).
Integrate Basecamp workspaces with AI tools like Claude for enhanced interaction and automation.
Provides a Multi-Agent Conversation Protocol (MCP) interface for the 1forge.com financial APIs.
Transforms plain text into visual storyboards and optional vertical videos using AI-powered scene breakdown and frame generation.
Provides a tutorial app for Model Context Protocol (MCP) in Python, demonstrating core MCP concepts with a simple local database.
Wraps any command-line interface tool and exposes its subcommands as individual Model Context Protocol tools with type-safe parameters.
Provides foundational example code for building Model Context Protocol (MCP) servers using FastAPI.
Provides real-time global currency exchange rates for use by Large Language Models.
Provides a versatile suite of utility tools for time, weather, file management, search, and system operations through a Model Context Protocol server.
Exposes an external API as a tool compatible with Claude Desktop or ChatGPT Desktop using the Model Context Protocol (MCP).
Facilitates the deployment and integration of a Model Context Protocol server with Microsoft Copilot Studio.
Provides an MCP server built on top of Nasdanika AI and CLI capabilities.
Integrates with the GitHub API to access repository information, documentation, and file content via the Model Context Protocol.
Expresses entire web applications as a graph of interconnected agentic nodes, leveraging generative AI to perform complex workloads.
Provides advanced tools for interacting with PocketBase databases, enabling operations like schema management, data manipulation, and user authentication.
Aggregates multi-source news, applying AI for synthesis and bias removal, while using conversation-aware caching for persistent information retrieval.
Provides core mathematical operations like addition, subtraction, multiplication, division, power, and square root as remote tools for Model Context Protocol (MCP) clients.
Demonstrates basic Model Context Protocol (MCP) functionality, including tool calls and resource access with robust Zod validation, for learning how to build AI model interactions.
Enables AI assistants to interact with Docker containers and services through the Portainer API.
Develops and explores AI agents built with large language models and provides a universal web interface for interaction.
Enables an MCP client like Claude Desktop to securely read files directly from your local disk.
Facilitates LLM integration with the Homello real-estate platform via the Model Context Protocol.
Access OpenAI compatible endpoints using a single base URL and API key, while also functioning as an MCP server and proxy.
Serves markdown files in a structured manner through an API, acting as a knowledge base for Large Language Models (LLMs).
Provides a rapid response team of coding LLMs, with premium fallback, to assist with debugging and coding challenges within the Codex CLI and other MCP clients.
Monitors and analyzes HTTP/HTTPS traffic with automated browser setup, leveraging Model Context Protocol for enhanced control.
Provides a secure, AI-powered chatbot for contextualized querying of internal AMDIE documents.
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