Deepseek R1 Reasoner
An intelligent agent system running locally, combining inference models and tool - calling models
rating : 2.5 points
downloads : 9
What is the Deepseek R1 Inference Extension MCP Server?
The Deepseek R1 Inference Extension MCP Server is a technical tool used to enhance the inference capabilities of local models. By combining Deepseek R1 as the inference model and a model that supports tool calls (such as Goose Agent), it achieves powerful local computing capabilities without relying on remote APIs.How to use the Deepseek R1 Inference Extension MCP Server?
Simply run a simple command in the terminal to start the server. The server will automatically work in conjunction with local models to handle complex inference tasks.Applicable Scenarios
Suitable for scenarios that require high - performance inference and tool calls, such as complex data analysis, automated task execution, or AI applications in local development environments.Main Features
Local InferenceLeverage the powerful inference capabilities of Deepseek R1 to achieve efficient local computing.
Tool Call SupportCombine with other models for tool calls to enhance overall functional flexibility.
Multi - Model CollaborationSupport seamless collaboration between multiple local models to optimize task processing efficiency.
Advantages and Limitations
Advantages
Completely localized, no reliance on remote APIs
High - performance inference capabilities
Support for collaboration of multiple models
Limitations
Requires certain hardware performance
Requires manual configuration of some model environments
How to Use
Install Node.js
Ensure that Node.js is installed on your system.
Run the Server
Enter the following command in the terminal to start the server: `npx -y deepseek - reasoner - mcp`.
Usage Cases
Complex Data AnalysisUse the Deepseek R1 Inference Extension MCP Server to process large - scale data sets.
Automated Task ExecutionComplete automated tasks by calling models with tools.
Frequently Asked Questions
Does the Deepseek R1 Inference Extension MCP Server require an Internet connection?
How to install the Deepseek R1 Inference Extension MCP Server?
Does the server support multiple platforms?
Related Resources
Official GitHub Repository
Get more information about the Deepseek R1 Inference Extension MCP Server.
User Manual
Gain an in - depth understanding of the server's functions and usage methods.
Featured MCP Services

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
85
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
140
4.5 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
829
4.3 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
564
5 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
282
4.5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
753
4.8 points