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Deepseek R1 Mcp

@michaelnealeon 10 months ago
1 MIT
FreeCommunity
AI Systems
a deepseek r1 MCP for reasoning/desigining with agents

Overview

What is Deepseek R1 Mcp

deepseek-r1-mcp is a locally runnable technical agent system designed for reasoning and designing with agents, utilizing deepseek r1 as a reasoning model combined with tool calling models.

Use cases

Use cases include developing intelligent agents for automation, designing complex systems that require reasoning capabilities, and enhancing local applications with advanced agent functionalities.

How to use

To use deepseek-r1-mcp, run the command ‘npx -y deepseek-reasoner-mcp’ in your terminal. It can be integrated into any agent system that supports ollama.

Key features

Key features include local execution of models, integration with various agent systems, and the ability to couple reasoning models with tool calling models for enhanced functionality.

Where to use

deepseek-r1-mcp can be used in various fields such as artificial intelligence, robotics, and any domain requiring local reasoning and agent interaction.

Content

Deepseek r1 reasoning extension for locally running models

Aim: provide locally runnable technical agent system, using a combination of models and no remote models.

Uses deepseek r1 as a reasoning model, which can then be coupled with a tool calling model, for example in the case of goose agent below.
Deepseek r1 and other reasoning models often can’t effectively do tool calling, but can be combined with other models which while not as good at reasoning, can do tool calling.

Below is a diagram of how it works with the “project goose” agent, which makes use of ollama with all local models:

image

This is a generic MCP server so should work with any agent system, as long as ollama is running, and can run entirely locally.

Usage:

npx -y deepseek-reasoner-mcp

This can be used in any agent system.

Tools

No tools

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