Second Opinion MCP Server is an AI-powered server designed to assist developers in solving coding problems by aggregating insights from multiple sources such as Google's Gemini AI, Stack Overflow accepted answers, and Perplexity AI analysis. It provides detailed solutions, automatic language detection, code snippet extraction, markdown report generation, and Git-aware file context gathering.
This server helps developers solve complex coding issues by leveraging AI models and community knowledge. It combines multiple expert sources into one solution, providing comprehensive problem-solving assistance with best practices, performance optimization tips, and error handling recommendations.
Developers, software engineers, and technical teams who face challenges in debugging, optimizing, or implementing features in their codebase can benefit from this tool. It’s especially useful for those working with frameworks like React and technologies like WebSockets.
The project is hosted on GitHub under the repository PoliTwit1984/second-opinion-mcp-server. You can access its source code, documentation, and setup instructions there.
Use this tool when encountering difficult coding problems that require expert-level insights, debugging assistance, or optimization strategies. It’s ideal for situations where traditional approaches have failed or when you need a second opinion validated by AI and trusted resources.
To set up the server, install dependencies using 'npm install', build it with 'npm run build', and configure environment variables (GEMINI_API_KEY, PERPLEXITY_API_KEY, STACK_EXCHANGE_KEY) in the MCP settings file.
The get_second_opinion tool requires at least the 'goal' parameter describing what you’re trying to accomplish. Optional parameters include 'error', 'code', 'solutionsTried', and 'filePath'.
While some functionalities may work anonymously, full functionality requires valid API keys for Google's Gemini AI, Perplexity AI, and optionally Stack Exchange.
Yes, the server automatically detects the programming language based on file extensions and provides contextual solutions accordingly.
The tool is primarily intended for development and debugging purposes. For production use, ensure proper testing and validation of generated solutions before deployment.
MCP (Model Context Protocol) is an open protocol designed to standardize how applications provide context information to large language models (LLMs). Like a 'USB-C port' for AI applications, MCP ensures AI models can seamlessly connect with various data sources and tools.
An MCP Server is a server that supports the MCP protocol, enabling the exchange of contextual information between applications and AI models in a standardized way. It provides developers with an easy way to integrate AI models with databases, APIs, or other data sources.
An MCP Server eliminates the complexity of developing custom adapters by unifying the connection between AI models and various data sources. Whether you're a developer, data scientist, or AI app builder, an MCP Server simplifies the integration process, saving time and resources.
An MCP Server acts as an intermediary bridge, converting contextual information from various data sources into a format that AI models can understand. By adhering to the MCP protocol, it ensures data is transmitted between applications and AI models in a standardized manner.
At mcpserver.shop, you can browse our MCP Server Directory. The directory is categorized by industry (e.g., finance, healthcare, education), and each server comes with detailed descriptions and tags to help you quickly find the option that suits your needs.
The MCP Server Directory on mcpserver.shop is free to browse. However, some servers are hosted by third-party providers and may involve usage fees. Check the detailed page of each server for specific information.
MCP Servers support a wide range of data sources, including databases, APIs, cloud services, and custom tools. The flexibility of the MCP protocol allows it to connect almost any type of data source to AI models.
MCP Servers are primarily designed for developers, data scientists, and AI app builders. However, mcpserver.shop provides detailed documentation and guides to help users of varying technical levels get started easily.
Yes, MCP is an open-source protocol that encourages community participation and collaboration. For more details or to contribute, visit the official MCP documentation.
On mcpserver.shop, each MCP Server’s detailed page includes the provider’s contact information or a link. You can directly reach out to the provider for more details or technical support.