Second Opinion MCP

Example Use Cases

• 1

  Consolidated, multi-source explanations and solutions for coding problems combining AI output and Stack Overflow references.

• 2

  Extract and format relevant code snippets, detect programming language from file extensions, and generate markdown reports for developer workflows.

• 3

  Git-aware file context gathering to provide more accurate, context-rich troubleshooting and suggestions for repository-specific issues.

Description

This MCP server gathers context from code files, Git-aware context, and multiple knowledge sources (Google's Gemini, Stack Overflow accepted answers, and Perplexity AI) to produce detailed solutions and markdown reports for coding problems. It automatically detects language from file extensions, extracts and formats code snippets, and generates actionable recommendations with supporting context. The server is designed to be integrated into MCP setups and requires API keys for the external AI/services it aggregates.