🧠DeepSeek MCP Server
Mirror of
MCP-Mirror
README
🧠DeepSeek MCP Server
🚀 Features
Enhance Claude's reasoning capabilities with the integration of DeepSeek R1's advanced reasoning engine. This server enables Claude to tackle complex reasoning tasks by leveraging the reasoning capabilites of deepseek r1 model.
-
DeepSeek R1 (The Brain) acts as the advanced reasoning planner:
- Plans multi-step logical analysis strategies
- Structures cognitive frameworks
- Evaluates confidence and uncertainty
- Monitors reasoning quality
- Detects edge cases and biases
-
Claude (The Executor) implements the reasoning plans:
- Executes the structured analysis
- Implements planned strategies
- Delivers final responses
- Handles user interaction
- Manages system integrations
🚀 Features
Advanced Reasoning Capabilities
- Supports intricate multi-step reasoning tasks.
- Designed for precision and efficiency in generating thoughtful responses.
- ä½¿ç”¨æ— é—®èŠ¯ç©¹çš„API
Complete Setup guide
Prerequisites
- Python 3.12 or higher
uv
package manager- INFINI_API_KEY For DeepSeek (Sign up at æ— é—®èŠ¯ç©¹)
-
Clone the Repository
git clone https://github.com/moyu6027/deepseek-MCP-server.git cd deepseek-MCP-server
-
Ensure UV is Set Up
- Windows: Run the following in PowerShell:
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
- Mac: Run the following:
curl -LsSf https://astral.sh/uv/install.sh | sh
- Windows: Run the following in PowerShell:
-
Create Virtual Environment
uv venv source .venv/bin/activate
-
Install Dependencies
uv add "mcp[cli]" httpx
-
Set Up API Key
echo "INFINI_API_KEY=your_key_here" > .env
-
Install the Server
mcp install server.py -f .env
-
Configure MCP Server Edit the
claude_desktop_config.json
file to include the following configuration:{ "mcpServers": { "deepseek-mcp": { "command": "uv", "args": [ "--directory", "PATH_TO_DEEPSEEK_MCP_SERVER", "run", "server.py" ] } } }
-
Run the Server
uv run server.py
🛠Usage
Starting the Server
The server automatically starts when used with Claude Desktop. Ensure Claude Desktop is configured to detect the MCP server.
Example Workflow
- Claude receives a query requiring advanced reasoning.
- The query is forwarded to DeepSeek R1 for processing.
- DeepSeek R1 returns structured reasoning wrapped in
<ant_thinking>
tags. - Claude integrates the reasoning into its final response.
📄 License
This project is licensed under the MIT License. See the LICENSE file for details.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
MCP Package Docs Server
Facilitates LLMs to efficiently access and fetch structured documentation for packages in Go, Python, and NPM, enhancing software development with multi-language support and performance optimization.
Claude Code MCP
An implementation of Claude Code as a Model Context Protocol server that enables using Claude's software engineering capabilities (code generation, editing, reviewing, and file operations) through the standardized MCP interface.
@kazuph/mcp-taskmanager
Model Context Protocol server for Task Management. This allows Claude Desktop (or any MCP client) to manage and execute tasks in a queue-based system.
Linear MCP Server
Enables interaction with Linear's API for managing issues, teams, and projects programmatically through the Model Context Protocol.
mermaid-mcp-server
A Model Context Protocol (MCP) server that converts Mermaid diagrams to PNG images.
Jira-Context-MCP
MCP server to provide Jira Tickets information to AI coding agents like Cursor

Linear MCP Server
A Model Context Protocol server that integrates with Linear's issue tracking system, allowing LLMs to create, update, search, and comment on Linear issues through natural language interactions.

Sequential Thinking MCP Server
This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.