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Deepseek Thinker MCP Server

by ruixingshi
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JavaScript
Hybrid

Servidor MCP de Deepseek Thinker

insignia de herrería

Un proveedor MCP (Protocolo de Contexto de Modelo) que proporciona contenido de razonamiento de Deepseek a clientes de IA compatibles con MCP, como Claude Desktop. Permite el acceso a los procesos de pensamiento de Deepseek desde el servicio API de Deepseek o desde un servidor Ollama local.

Características principales

  • 🤖 Soporte de modo dual

    • Compatibilidad con el modo API de OpenAI

    • Compatibilidad con el modo local de Ollama

  • 🎯 Razonamiento enfocado

    • Captura el proceso de pensamiento de Deepseek

    • Proporciona una salida de razonamiento

Related MCP server: Deepseek MCP Server

Herramientas disponibles

pensador de búsqueda profunda

  • Descripción : Realice razonamiento utilizando el modelo Deepseek

  • Parámetros de entrada :

    • originPrompt (cadena): mensaje original del usuario

  • Devuelve : Respuesta de texto estructurada que contiene el proceso de razonamiento

Configuración del entorno

Modo API de OpenAI

Establezca las siguientes variables de entorno:

API_KEY=<Your OpenAI API Key>
BASE_URL=<API Base URL>

Modo Ollama

Establezca la siguiente variable de entorno:

USE_OLLAMA=true

Uso

Integración con AI Client, como Claude Desktop

Agregue la siguiente configuración a su 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>"
      }
    }
  }
}

Usando el modo Ollama

{
  "mcpServers": {
    "deepseek-thinker": {
      "command": "npx",
      "args": [
        "-y",
        "deepseek-thinker-mcp"
      ],
      "env": {
        "USE_OLLAMA": "true"
      }
    }
  }
}

Configuración del servidor local

{
  "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>"
      }
    }
  }
}

Configuración de desarrollo

# Install dependencies
npm install

# Build project
npm run build

# Run service
node build/index.js

Preguntas frecuentes

Respuesta como esta: "Error MCP -32001: Se agotó el tiempo de solicitud"

Este error ocurre cuando la respuesta de la API de Deepseek es demasiado lenta o cuando la salida del contenido del razonamiento es demasiado larga, lo que provoca que el servidor MCP agote el tiempo de espera.

Pila tecnológica

  • Mecanografiado

  • @modelcontextprotocol/sdk

  • API de OpenAI

  • Ollama

  • Zod (validación de parámetros)

Licencia

Este proyecto está licenciado bajo la Licencia MIT. Consulte el archivo de LICENCIA para más detalles.

Available Tools

1 tool
get-deepseek-thinkerD

think with deepseek

ParametersJSON Schema
NameRequiredDescriptionDefault
originPromptYesuser's original prompt

TDQS

D1.7/5.0
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden for behavioral disclosure. 'think with deepseek' reveals nothing about whether this is a read/write operation, what permissions are needed, whether it has side effects, rate limits, or what kind of response to expect. It's completely opaque about behavioral characteristics.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

While technically concise with just three words, this is under-specification rather than effective conciseness. The description fails to convey meaningful information, so its brevity is a deficiency rather than a virtue. Every word should earn its place, but here the words don't provide useful content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no annotations and no output schema, the description is completely inadequate. It doesn't explain what the tool does, when to use it, what behavior to expect, or what results it returns. The single parameter is documented in the schema, but the overall context for using this tool is missing entirely.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with the single parameter 'originPrompt' clearly documented as 'user's original prompt'. The description adds no additional parameter information beyond what the schema provides, which is acceptable given the high schema coverage. The baseline of 3 is appropriate when the schema does the documentation work.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'think with deepseek' is a tautology that restates the tool name rather than explaining what the tool actually does. It doesn't specify what resource is being accessed or what operation is performed. While it hints at some thinking/processing function, the purpose remains vague and undefined.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides absolutely no guidance about when to use this tool, what problems it solves, or what context it's appropriate for. There are no sibling tools mentioned, but even for a standalone tool, this offers no usage context or prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool update
    • First observedget-deepseek-thinker
Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

C2.2/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool's purpose is clearly distinct by default.

Naming Consistency5/5

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.

Tool Count2/5

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.

Completeness1/5

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

ActivityInactive
ResponsivenessNo issues

Resources

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