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Orchestrates intelligent business services using an agent-based architecture with Model Control Protocol (MCP) communication.
Enables LLMs to directly access and utilize data from Google Spreadsheets.
Provides access to DeepSeek-R1's reasoning capabilities for enhanced LLM responses.
Provides AI agents with read-only access to Rossum API resources like queues, schemas, and workspaces.
Connects LLM applications to Milvus vector database functionality via the Model Context Protocol.
Transforms any Python library or code into a robust, scalable, and production-ready API with automatic service discovery.
Provides a Model Context Protocol (MCP) server and client for interacting with the Tensorus tensor database, enabling AI agents and LLMs to manage and manipulate tensor data.
Enables AI models and agents to translate natural language into database queries and execute them against SQL/Graph databases.
Integrates Model Context Protocol (MCP) servers with SQLite databases, enabling natural language interactions via LlamaIndex and Ollama-powered clients.
Connects Large Language Models to external REST APIs via the Model Context Protocol, facilitating interaction with JSON Server and general RESTful services.
Generate images from natural language prompts using the ModelScope Qwen-Image model via an MCP server.
Integrates with The Movie Database (TMDB) API to provide access to movie, TV show, and person information for AI assistants.
Exposes Power BI file analysis capabilities via the Model Context Protocol for interaction with LLM clients.
Provides a custom Databricks server to test Model Context Protocol (MCP) integrations and On-Behalf-Of (OBO) authentication.
Integrates with the Get笔记 (GetBiji) API to empower AI applications with knowledge base search and retrieval capabilities via a Model Context Protocol (MCP) server.
Enables Large Language Models to efficiently access, analyze, and extract information from STDF-V4 files used in semiconductor testing.
Orchestrates local-first AI tools and Model Context Protocol servers within a desktop application environment.
Establishes a foundational AI kernel to serve as the execution, reasoning, orchestration, and governance core for domestic, enterprise, and sovereign AI systems.
Exposes Z3/SMT solver capabilities for constraint solving, logical reasoning, and satisfiability checking via a Model Context Protocol (MCP) server.
Orchestrates sophisticated AI reasoning processes using a Tree of Thoughts approach, integrating deep planning, branching, and revision capabilities.
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