Deepseek Thinker MCP Server
The Deepseek Thinker MCP Server enables interaction with Deepseek models for reasoning tasks via the Model Context Protocol. With this server, you can:
Access Reasoning Processes: Leverage Deepseek's thought processes using the
get-deepseek-thinkertool by providing a user promptFlexible Deployment: Run locally or as a service with configuration through environment variables or JSON
Dual Operation Modes: Support for both OpenAI API service mode and local Ollama integration
Client Integration: Seamlessly connect with AI clients like Claude Desktop using MCP configuration
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Deepseek Thinker MCP Server explain quantum entanglement step by step"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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
Related MCP server: Deepseek MCP Server
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=trueUsage
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.jsFAQ
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.
Available Tools
1 toolget-deepseek-thinkerD
think with deepseek
Inputs: originPrompt (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
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.
Maintenance
Related MCP Connectors
AI Reasoning Cache & Consensus Layer with 11 MCP tools via Streamable HTTP.
Reasoning, code, anti-deception, memory harness MCP tools. Stdio or HTTPS api.ejentum.com/mcp
Agent-to-agent reasoning-as-a-service: chain-of-thought, analysis, and decision support.
Persistent memory, knowledge graph, task management and more for AI agents via MCP.
Related MCP Servers
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- AlicenseCqualityDmaintenanceA Model Context Protocol (MCP) server that provides access to DeepSeek-R1's reasoning capabilities, allowing non-reasoning models to generate better responses with enhanced thinking.12MIT
- AlicenseNot gradedqualityDmaintenanceConnects MCP clients to DeepSeek API, including DeepSeek-R1 reasoning with visible chain-of-thought. Provides four tools: generate, chat, reason, and list models.1MIT