Deepseek Thinker MCP Server
# Deepseek Thinker MCP Server
[](https://smithery.ai/server/@ruixingshi/deepseek-thinker-mcp)
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.
<a href="https://glama.ai/mcp/servers/d7spzsfuwz"><img width="380" height="200" src="https://glama.ai/mcp/servers/d7spzsfuwz/badge" alt="Deepseek Thinker Server MCP server" /></a>
## 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:
```bash
API_KEY=<Your OpenAI API Key>
BASE_URL=<API Base URL>
```
### Ollama Mode
Set the following environment variable:
```bash
USE_OLLAMA=true
```
## Usage
### Integration with AI Client, like Claude Desktop
Add the following configuration to your `claude_desktop_config.json`:
```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
```json
{
"mcpServers": {
"deepseek-thinker": {
"command": "npx",
"args": [
"-y",
"deepseek-thinker-mcp"
],
"env": {
"USE_OLLAMA": "true"
}
}
}
}
```
### Local Server Configuration
```json
{
"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
```bash
# 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.
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool's purpose is clearly distinct by default.
The single tool name 'get-deepseek-thinker' follows a consistent pattern, and with no other tools to compare, there is no inconsistency in naming conventions.
A single tool is too few for most server purposes, as it limits functionality and suggests a thin or incomplete surface. This is borderline for typical server scopes, leaning towards inadequacy.
The server's purpose appears to be 'think with deepseek,' but with only one tool, the surface is severely incomplete. There are obvious gaps, such as no way to configure, modify, or manage thinking processes, leading to dead ends for agents.