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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 Agent

MCP server implementation using Ollama's Deepseek model for seamless AI integration.

Features

  • 🤖 MCP protocol compliance
  • 🔄 Ollama integration with Deepseek model
  • ⚙️ Automatic configuration
  • 🧹 Clean responses (removes thinking tags)
  • 📝 Standard MCP protocol endpoints

Quick Start

  1. Install Ollama and Deepseek model:
ollama run deepseek-r1
  1. Install the package:
pip install git+https://github.com/freebeiro/mcp-deepseek-agent.git
  1. Start the server:
mcp-deepseek-agent

Configuration

Set through environment variables:

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"

Usage in MCP Configuration

Add to your MCP configuration:

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

Documentation

See DOCUMENTATION.md for detailed usage and API documentation.

License

MIT License - see LICENSE file for details.

This server cannot be installed

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local-only server

The server can only run on the client's local machine because it depends on local resources.

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

  1. Features
    1. Quick Start
      1. Configuration
        1. Usage in MCP Configuration
          1. Documentation
            1. License

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