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Generates responses based on the latest information using the Gemini API and Google Search.
Implements a Model Context Protocol (MCP) server for the Qwen Max language model, enabling integration with tools like Claude Desktop.
Enables Claude to interact with WhatsApp via the Evolution API for message automation and instance management.
Enables Large Language Models to interact with and understand Ant Design component documentation.
Dynamically creates new tools for use with MCP clients based on natural language descriptions.
Connects to the Inkeep RAG service to retrieve product content and documentation.
Enables large language models and AI assistants to execute terminal commands and retrieve output through a standardized interface.
Enables AI models to query a Datomic database using the Modex MCP library.
Exposes RSS feed content through a Model Context Protocol (MCP) API.
Facilitates the management and integration of various Large Language Model (LLM) services using Model Context Protocol (MCP) servers.
Connects a Large Language Model (LLM) to the Fitbit API, enabling data retrieval via Model Context Protocol (MCP).
Enables Large Language Models to interact with the Google Calendar API via natural language for scheduling and event management.
Manages API documentation and facilitates team collaboration through the Model Context Protocol.
Enables AI assistants to interact with serial devices for embedded systems, IoT, and hardware debugging.
Provides a comprehensive Python client library and Model Context Protocol (MCP) server for Microsoft Dynamics 365 Finance & Operations, enabling streamlined access to OData endpoints, metadata, labels, and AI assistant integration.
Provides access to the Anytype API, allowing AI assistants and other MCP clients to interact with your Anytype data.
Enable AI agents to deterministically create, validate, and manage buildingSMART Information Delivery Specification (IDS) files with 100% compliance.
Empowers AI assistants with comprehensive access to eBay's Sell APIs for advanced e-commerce operations.
Streamlines API test generation and execution using a YAML declarative approach, optimized for AI coding assistants.
Extracts concepts from documents, measures their grounding strength, preserves disagreement, and traces everything back to its original source within a semantic knowledge graph.
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