Senior Consult MCP
S

Senior Consult MCP

Senior Consult MCP is an MCP server that allows AI agents to consult multiple top - tier models (such as Claude, GPT, Gemini, etc.) to obtain technical architecture suggestions, code reviews, and solutions to complex problems without switching contexts.
2.5 points
6.9K

What is Senior Consult MCP?

Senior Consult MCP is an intelligent consulting server that allows your AI assistants (such as Claude, Cursor, etc.) to seek expert - level technical advice from multiple top - tier AI models (including Claude, GPT, Gemini, DeepSeek, Z.ai) without switching contexts. It's like your AI assistant has an expert team at its disposal at any time.

How to use Senior Consult MCP?

Simply configure the MCP server in your AI tools (such as Claude Desktop, Cursor, Windsurf), and your AI assistant can directly call the expert consultation function. There's no need to manually switch between different AI platforms, and all consultations are completed within the current conversation.

Applicable scenarios

When you need: • Security review of critical code • Design suggestions for complex system architectures • A second opinion on technical solutions • Guidance on performance optimization • Professional evaluation of technical decisions

Main features

Multi - model support
Supports multiple top - tier AI models such as Claude, GPT - 4, Gemini, DeepSeek, Z.ai, and you can select the most suitable expert according to your needs.
Technical consultation
Provides comprehensive answers to technical questions, covering multiple fields such as programming, architecture, and best practices.
Code review
Automatically analyzes code for security, performance, and quality issues and provides improvement suggestions.
Architecture advice
Provides professional guidance for system design and helps select appropriate technical architecture solutions.
Smart memory
Automatically manages conversation history, optimizes token usage, and ensures the coherence of consultations.
Custom endpoints
Supports the configuration of custom OpenAI - compatible API endpoints for flexible access to other models.
Advantages
Seamless integration: Get expert advice without leaving your current working environment
Multi - expert consultation: Obtain opinions from multiple models in one consultation
Time - saving: Avoid manual switching between different AI platforms
Professional focus: Prompt words optimized specifically for technical consultations
Flexible configuration: Supports multiple API providers and custom configurations
Limitations
Requires API keys: You must configure at least one API key for an AI service
Network dependency: Requires a stable network connection to access API services
Cost consideration: Using commercial APIs may incur fees
Configuration complexity: Initial setup requires a certain amount of technical knowledge

How to use

Install the server
Choose the installation method that suits you best. It is recommended to use npx to run directly without installation.
Configure API keys
Set the API key for at least one AI service, such as Anthropic, OpenAI, or Google.
Configure the MCP client
Add the MCP server configuration to your AI tools (such as Claude Desktop).
Start consulting
Use the provided tools in the AI assistant for technical consultations, code reviews, etc.

Usage examples

Code security review
When implementing critical functions, it is necessary to ensure that the code has no security vulnerabilities.
Architecture design decision
At the beginning of a project, it is necessary to select an appropriate technical architecture.
Performance optimization consultation
When the application has performance bottlenecks, expert guidance is needed for optimization.
Technical solution evaluation
Make the best choice among multiple technical solutions.

Frequently Asked Questions

Do I need to configure API keys for all supported AI services?
Is this service free?
Which AI development tools are supported?
How do I choose which AI model to use?
How long will the conversation history be saved?
Does it support custom AI models?

Related resources

GitHub repository
Project source code, issue feedback, and contribution guidelines
MCP protocol documentation
Official documentation to understand the Model Context Protocol
Claude Desktop configuration guide
How to configure the MCP server in Claude Desktop
API service provider documentation
Usage documentation and pricing information for each AI service API

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "senior-consult": {
      "command": "npx",
      "args": ["-y", "senior-consult-mcp"],
      "env": {
        "ANTHROPIC_API_KEY": "your-key"
      }
    }
  }
}

{
  "mcpServers": {
    "senior-consult": {
      "command": "npx",
      "args": ["-y", "senior-consult-mcp"],
      "env": {
        "ANTHROPIC_API_KEY": "sk-ant-xxx",
        "DEEPSEEK_API_KEY": "sk-xxx",
        "GEMINI_API_KEY": "xxx",
        "CLAUDE_MODEL": "claude-sonnet-4-5",
        "DEEPSEEK_MODEL": "deepseek-reasoner"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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