
Deepseek R1 Reasoner
Provides local AI reasoning capabilities using Deepseek R1 models through Ollama, enabling autonomous decision-making without sending data to remote servers.
Leverages Deepseek r1 for local reasoning and task planning, enabling autonomous decision-making while maintaining data privacy.
What it does
- Run reasoning tasks locally with Deepseek R1
- Combine reasoning models with tool-calling models
- Process complex decision-making workflows
- Integrate with any MCP-compatible agent system
Best for
About Deepseek R1 Reasoner
Deepseek R1 Reasoner is a community-built MCP server published by michaelneale that provides AI assistants with tools and capabilities via the Model Context Protocol. Deepseek R1 Reasoner empowers private, autonomous decision-making and task planning locally using Deepseek r1 for enhanc It is categorized under ai ml, developer tools.
How to install
You can install Deepseek R1 Reasoner in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
Deepseek R1 Reasoner is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
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:
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.
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