Second Opinion MCP Server: Combining Insights from Multiple AI Tools

Overview: What is Second Opinion MCP Server?

The Second Opinion MCP Server is an advanced backend service designed to provide AI-powered assistance for coding problems by leveraging insights from multiple state-of-the-art models:

• Google's Gemini AI
• Stack Overflow accepted answers
• Perplexity AI analysis

This server offers comprehensive solutions through a standardized Model Context Protocol (MCP), making it compatible with various AI platforms and tools. By integrating with MCP clients like Claude Desktop, Continue, and Cursor, the Second Opinion Server enhances their capabilities by providing detailed guidance on coding issues.

🔧 Core Features & MCP Capabilities

The Second Opinion MCP Server includes several key features that make it a powerful tool for developers:

1. Detailed Solutions from Multiple Sources: It integrates insights from Gemini AI, Stack Overflow accepted answers, and Perplexity AI analysis, ensuring comprehensive coverage of diverse problems.
2. Automatic Language Detection: The server automatically detects the programming language used based on file extensions, streamlining code analysis.
3. Code Snippet Extraction & Formatting: It extracts relevant code snippets and formats them for optimal readability and understanding.
4. Markdown Report Generation: Generates easy-to-read Markdown reports that encapsulate AI findings and solutions.
5. Git-Aware File Context Gathering: Utilizes Git history to gather context directly from version control systems, enhancing solution accuracy.

⚙️ MCP Architecture & Protocol Implementation

Model Context Protocol (MCP)

The MCP is a protocol designed to enable seamless interaction between AI applications and backend services through a standardized interface. This ensures that various tools and platforms can connect and leverage diverse data sources efficiently.

Protocol Flow Diagram

graph TD
    A[AI Application] -->|MCP Client| B[MCP Protocol]
    B --> C[MCP Server]
    C --> D[Data Source/Tool]
    style A fill:#e1f5fe
    style C fill:#f3e5f5
    style D fill:#e8f5e8

Compatibility with MCP Clients

The Second Opinion MCP Server is fully compatible with the following clients:

• Claude Desktop

  • Resources: ✅
  • Tools: ✅
  • Prompts: ✅
  • Status: Full Support

• Continue

  • Resources: ✅
  • Tools: ✅
  • Prompts: ✅
  • Status: Full Support

• Cursor

  • Resources: ❌
  • Tools: ✅
  • Prompts: ❌
  • Status: Tools Only

MCP Server Configuration Sample

{
  "mcpServers": {
    "second-opinion": {
      "command": "node",
      "args": ["/path/to/second-opinion-server/build/index.js"],
      "env": {
        "GEMINI_API_KEY": "your-gemini-api-key",
        "PERPLEXITY_API_KEY": "your-perplexity-api-key",
        "STACK_EXCHANGE_KEY": "your-stack-exchange-key"
      }
    }
  }
}

🚀 Getting Started with Installation

Prerequisites

• Node.js version 16.x or higher.
• A development environment.

Steps to Set Up the Second Opinion MCP Server

1. Install Dependencies

   npm install
   

2. Build the Server

   npm run build
   

3. Configure Environment Variables

   Create a JSON configuration file in your MCP settings directory:

   Example Configuration:

   {
     "mcpServers": {
       "second-opinion": {
         "command": "node",
         "args": ["/path/to/second-opinion-server/build/index.js"],
         "env": {
           "GEMINI_API_KEY": "your-gemini-api-key",
           "PERPLEXITY_API_KEY": "your-perplexity-api-key",
           "STACK_EXCHANGE_KEY": "your-stack-exchange-key"
         }
       }
     }
   }
   

💡 Key Use Cases in AI Workflows

Real-World Implementation: Debugging Complex Errors

Imagine a Python developer working on a Django project. They encounter an unexpected TypeError that they can’t readily resolve. By invoking the Second Opinion MCP Server, the user receives detailed guidance from Gemini AI and Perplexity AI as well as relevant Stack Overflow solutions, providing a holistic view of the issue.

Real-World Implementation: Understanding Code Performance

A backend engineer needs to optimize a complex query in a MySQL database. They provide the schema and some problematic SQL code to the Second Opinion MCP Server. The server returns insights from Gemini AI on best practices and common pitfalls, along with specific Perplexity AI analyses and Stack Overflow examples of efficient queries, helping the developer refine their approach.

🔌 Integration with MCP Clients

The integration between the Second Opinion MCP Server and various clients like Claude Desktop or Continue is seamless. Below are specific examples:

Example Integration with Continue

To integrate with Continue, developers can follow these steps:

1. Ensure Continue has the necessary permissions to connect to external servers.
2. Use the configuration sample above, ensuring all required environment variables are set correctly for the API keys.

📊 Performance & Compatibility Matrix

The performance and compatibility matrix below illustrates how different clients work with the Second Opinion MCP Server:

MCP Client	Resources	Tools	Prompts
Claude Desktop	✅	✅	✅
Continue	✅	✅	✅
Cursor	❌	✅	❌

🛠️ Advanced Configuration & Security

Environmental Variables

Ensure that the server is configured with the correct API keys for Gemini AI, Perplexity AI, and Stack Overflow.

{
  "GEMINI_API_KEY": "your-gemini-api-key",
  "PERPLEXITY_API_KEY": "your-perplexity-api-key",
  "STACK_EXCHANGE_KEY": "your-stack-exchange-key"
}

Security Measures

• Use HTTPS for secure communication with the MCP client.
• Implement rate limiting and security checks to prevent abuse.

❓ Frequently Asked Questions (FAQ)

1. How do I configure the environment variables?

   • See the configuration sample in the Getting Started section.

2. What are the dependencies required for the server?

   • The primary dependency is Node.js version 16.x or higher.

3. Where can I find more information on debugging specific programming languages?

   • Check out Stack Overflow and Perplexity AI resources for detailed guides on different programming languages.

4. Does the server support multiple programming languages?

   • Yes, automatic language detection supports a wide range of popular programming languages based on file extensions.

5. How can I ensure secure communication with the servers?

   • Use HTTPS to encrypt data transmitted between your client and the MCP Server.

👨‍💻 Development & Contribution Guidelines

If you wish to contribute to the development or documentation of this project, follow these steps:

1. Fork the repository from GitHub.
2. Clone the forked repository to your local machine.
3. Set up a development environment as described in the README.
4. Make changes and submit pull requests.

🌐 MCP Ecosystem & Resources

For more resources on Model Context Protocol (MCP) and integrating with various AI tools, refer to:

• Official MCP Documentation: Link
• Community Forums: Engage in discussions and share ideas at the official MCP community forums.
• GitHub Repository: Explore the source code and documentation on GitHub.

By leveraging the Second Opinion MCP Server, developers can enhance their AI-driven development workflows, ensuring efficient problem-solving and optimization through integrated insights from multiple sources.