deepseek-thinker-mcp
If you are the rightful owner of deepseek-thinker-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
Deepseek Thinker MCP Server provides reasoning content to MCP-enabled AI Clients, supporting both OpenAI API and local Ollama server modes.
Deepseek 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.
