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Examples of DeepSeek-related applications or projects

  • Why this server?

    This server offers browser automation and real-time computer vision tasks through AI-driven commands, enhanced web experiences by using Deepseek.

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    Enables browser automation and real-time computer vision tasks through AI-driven commands, offering zero-cost digital navigation and interaction for enhanced web experiences.
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    1
    JavaScript
    MIT License
  • Why this server?

    This server integrates DeepSeek R1's advanced reasoning engine to enhance Claude's reasoning capabilities, making it suitable for complex tasks.

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    A server that enhances Claude's reasoning capabilities by integrating DeepSeek R1's advanced reasoning engine to tackle complex reasoning tasks.
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    Python
    MIT License
    • Apple
  • Why this server?

    This server provides reasoning content to Claude Desktop by interfacing with Deepseek's API, supporting focused reasoning and thought process visualization.

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    Provides reasoning content to MCP-enabled AI clients by interfacing with Deepseek's API or a local Ollama server, enabling focused reasoning and thought process visualization.
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    54
    24
    JavaScript
  • Why this server?

    Provides code generation and completion capabilities using the DeepSeek API, with support for tool chaining and cost optimization, thus an example of how to use deepseek.

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    Provides code generation and completion capabilities using the DeepSeek API, with support for tool chaining and cost optimization.
    3
    JavaScript
  • Why this server?

    Provides AI-powered mentorship for code review, design critique, writing feedback, and brainstorming using the Deepseek API, enabling enhanced output in development and strategic planning.

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    Provides LLM Agents with AI-powered mentorship for code review, design critique, writing feedback, and brainstorming using the Deepseek API, enabling enhanced output in various development and strategic planning tasks.
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    15
    TypeScript
    Apache 2.0
  • Why this server?

    A Model Context Protocol server implementation that enables Claude Desktop to use Deepseek models running in Docker, offering seamless integration.

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    A Model Control Protocol server implementation that allows Claude Desktop to use Deepseek models running in Docker, enabling seamless integration between Claude Desktop and Deepseek's language models.
    Python
    MIT License
  • Why this server?

    Integrates DeepSeek and Claude AI models to enhance AI responses, featuring a RESTful API, configurable parameters, and robust error handling, showing example of how to use deepseek together with other models.

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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.
    13
    TypeScript
  • Why this server?

    A distributable Model Context Protocol (MCP) server that exposes Dart SDK commands for AI-powered development, useful as reference.

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    A distributable Model Context Protocol (MCP) server that exposes Dart SDK commands for AI-powered development. This server bridges the gap between AI coding assistants and Dart/Flutter development workflows by implementing the Model Context Protocol (MCP).
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    TypeScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    Implements a Model Context Protocol (MCP) server powered by Flux API from Cephalon Cloud, enabling users to utilize advanced AI capabilities through standardized communication.

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    Implements a Model Context Protocol (MCP) server powered by Flux API from Cephalon Cloud, enabling users to utilize advanced AI capabilities through standardized communication.
    29
    JavaScript
    MIT License
  • Why this server?

    A Model Context Protocol server that enables LLMs to safely execute make targets from a Makefile, allowing AI assistants to run tests, format code, and automate various development tasks through natural language interaction.

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    A Model Context Protocol server that enables LLMs to safely execute make targets from a Makefile, allowing AI assistants to run tests, format code, and automate various development tasks through natural language interaction.
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    Python
    MIT License