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MCP Deepseek Agent Server

by freebeiro
GitHub
Python
1
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Integrations

  • Integrates with Ollama to use the Deepseek model for AI capabilities through the MCP protocol

MCP Deepseek 代理

MCP 服务器实现使用 Ollama 的 Deepseek 模型，以实现无缝的 AI 集成。

特征

  • 🤖 MCP 协议合规性
  • 🔄 Ollama 与 Deepseek 模型集成
  • ⚙️ 自动配置
  • 🧹 清理回复（删除思考标签）
  • 📝 标准 MCP 协议端点

快速入门

  1. 安装 Ollama 和 Deepseek 模型：
ollama run deepseek-r1
  1. 安装软件包：
pip install git+https://github.com/freebeiro/mcp-deepseek-agent.git
  1. 启动服务器：
mcp-deepseek-agent

配置

通过环境变量设置：

export OLLAMA_API_URL="http://localhost:11434" export OLLAMA_MODEL="deepseek-r1" export TEMPERATURE="0.7" export TOP_P="0.9" export MCP_PORT="8080"

MCP 配置中的使用

添加到您的 MCP 配置：

{ "mcpServers": { "deepseek": { "command": "mcp-deepseek-agent", "args": [], "env": { "OLLAMA_MODEL": "deepseek-r1" } } } }

文档

有关详细用法和 API 文档，请参阅DOCUMENTATION.md 。

执照

MIT 许可证 - 详情请参阅 LICENSE 文件。

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hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

通过 Ollama 的 Deepseek 模型实现无缝的 AI 集成，为清晰的 AI 驱动交互提供协议合规性和自动配置。

  1. 特征
    1. 快速入门
      1. 配置
        1. MCP 配置中的使用
          1. 文档
            1. 执照

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