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Understanding Inference Models

  • Why this server?

    Enables invocation of Dify workflows, allowing use of AI models and workflows defined in Dify.

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    Server for using Dify. It achieves the invocation of the Dify workflow by calling the tools of MCP.
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    Python
  • Why this server?

    Exposes Dify applications (both Chatflow and Workflow) as MCP servers, allowing interaction with Dify apps through a standardized protocol.

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    Exposes Dify applications (both Chatflow and Workflow) as MCP (Model Context Protocol) servers, allowing Claude and other MCP clients to directly interact with Dify apps through a standardized protocol.
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    Python
  • Why this server?

    Integrates DeepSeek and Claude AI models to provide enhanced AI responses.

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    This server integrates DeepSeek and Claude AI models to provide enhanced AI responses, featuring a RESTful API, configurable parameters, and robust error handling.
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  • Why this server?

    Enables integration and control of DeepSeek and Claude AI models through RESTful APIs.

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    Enables integration and control of DeepSeek and Claude AI models through RESTful APIs, supporting seamless AI model operations with configurable parameters and robust error handling.
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  • Why this server?

    Enables AI models to perform MySQL database operations through a standardized interface, enabling database interaction using natural language.

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    Enables AI models to perform MySQL database operations through a standardized interface, supporting secure connections, query execution, and comprehensive schema management.
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    JavaScript
  • Why this server?

    Enables seamless AI integration via Ollama's Deepseek model, providing protocol compliance and automatic configuration for AI-driven interactions.

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    Enables seamless AI integration via Ollama's Deepseek model, providing protocol compliance and automatic configuration for clean AI-driven interactions.
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  • Why this server?

    Provides a standardized way to integrate Perplexity AI's features like chat, search, and documentation access into MCP-based systems, thus allowing use of AI models.

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    Provides a standardized way to integrate Perplexity AI's features like chat, search, and documentation access into MCP-based systems.
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    JavaScript
  • Why this server?

    Provides unified access to multiple search engines and AI tools, combining search, AI responses, and content processing through a single interface.

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    🔍 A Model Context Protocol (MCP) server providing unified access to multiple search engines (Tavily, Brave, Kagi), AI tools (Perplexity, FastGPT), and content processing services (Jina AI, Kagi). Combines search, AI responses, content processing, and enhancement features through a single interface.
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    MIT License
    • Linux
  • Why this server?

    Enables querying WolframAlpha's LLM API for natural language questions, providing structured and simplified answers optimized for LLM consumption.

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    Enables querying WolframAlpha's LLM API for natural language questions, providing structured and simplified answers optimized for LLM consumption.
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  • Why this server?

    A generic Model Context Protocol framework for building AI-powered applications that provides standardized ways to create MCP servers and clients for integrating LLMs with support for Ollama and Supabase.

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    A generic Model Context Protocol framework for building AI-powered applications that provides standardized ways to create MCP servers and clients for integrating LLMs with support for Ollama and Supabase.
    TypeScript