About Deepseek Thinker MCP Server
Deepseek Thinker MCP Server is an MCP server that provides Deepseek reasoning content to MCP-enabled AI clients such as Claude Desktop. It works with the Deepseek API or a local Ollama server.
Key features
- 01OpenAI API mode and Ollama local mode
- 02Single get-deepseek-thinker tool
- 03Returns the reasoning process as text
- 04Parameter validation with Zod
Use cases
- 01Viewing Deepseek reasoning output inside Claude Desktop
- 02Getting reasoning content from a local Ollama server
MCP support
This project is an MCP server that exposes a get-deepseek-thinker tool to MCP clients, which returns the model's reasoning text.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEDeepseek Thinker MCP Server
A MCP (Model Context Protocol) provider Deepseek reasoning content to MCP-enabled AI Clients, like Claude Desktop. Supports access to Deepseek's thought processes from the Deepseek API service or from a local Ollama server.
Core Features
-
🤖 Dual Mode Support
- OpenAI API mode support
- Ollama local mode support
-
🎯 Focused Reasoning
- Captures Deepseek's thinking process
- Provides reasoning output
Available Tools
get-deepseek-thinker
- Description: Perform reasoning using the Deepseek model
- Input Parameters:
originPrompt(string): User's original prompt
- Returns: Structured text response containing the reasoning process
Environment Configuration
OpenAI API Mode
Set the following environment variables:
API_KEY=<Your OpenAI API Key>
BASE_URL=<API Base URL>
Ollama Mode
Set the following environment variable:
USE_OLLAMA=true
Usage
Integration with AI Client, like Claude Desktop
Add the following configuration to your claude_desktop_config.json:
{
"mcpServers": {
"deepseek-thinker": {
"command": "npx",
"args": [
"-y",
"deepseek-thinker-mcp"
],
"env": {
"API_KEY": "<Your API Key>",
"BASE_URL": "<Your Base URL>"
}
}
}
}
Using Ollama Mode
{
"mcpServers": {
"deepseek-thinker": {
"command": "npx",
"args": [
"-y",
"deepseek-thinker-mcp"
],
"env": {
"USE_OLLAMA": "true"
}
}
}
}
Local Server Configuration
{
"mcpServers": {
"deepseek-thinker": {
"command": "node",
"args": [
"/your-path/deepseek-thinker-mcp/build/index.js"
],
"env": {
"API_KEY": "<Your API Key>",
"BASE_URL": "<Your Base URL>"
}
}
}
}
Development Setup
# Install dependencies
npm install
# Build project
npm run build
# Run service
node build/index.js
FAQ
Response like this: "MCP error -32001: Request timed out"
This error occurs when the Deepseek API response is too slow or when the reasoning content output is too long, causing the MCP server to timeout.
Tech Stack
- TypeScript
- @modelcontextprotocol/sdk
- OpenAI API
- Ollama
- Zod (parameter validation)
License
This project is licensed under the MIT License. See the LICENSE file for details.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.