pdavis68/RepoMapper

```json
{
  "service_type": "platform",
  "base_url": "https://github.com/pdavis68/RepoMapper",
  "auth_method": "none",
  "auth_config": {},
  "endpoints": [],
  "pricing_model": {
    "type": "free",
    "details": {
      "open_source": true,
      "license": "Open source project on GitHub",
      "cost": "Free to use and modify"
    }
  },
  "rate_limits": {},
  "capabilities": [
    "MCP server implementation",
    "Command-line tool",
    "Repository file mapping",
    "Function prototype extraction",
    "File relevance ranking",
    "Chat-related file discovery",
    "Cross-platform support (Linux, Windows, macOS)",
    "Static code analysis"
  ],
  "raw_analysis": "RepoMapper is an open-source project hosted on GitHub (pdavis68/RepoMapper). Despite the URL containing an .mcas.ms proxy subdomain, the actual project is a standard GitHub repository. The platform analysis reveals it's a developer tool that serves as both an MCP (Model Context Protocol) server and a CLI tool. Its primary purpose is to generate a 'dynamic map' of chat-related files within a code repository, extracting function prototypes and ranking related files by relevance. This suggests it's designed for AI-assisted development workflows, likely to help LLMs (like coding assistants) understand codebase structure and identify relevant files for context. The tool appears to be in early-stage development (version unspecified) and is open source. Key integrations would include MCP-compatible clients such as Claude Desktop or similar AI assistants that support the Model Context Protocol. The tool supports multiple platforms per the emoji indicators (Linux penguin, Windows window, Apple apple). No public API endpoints, authentication, or rate limits apply since it's a command-line/local tool rather than a hosted web service. The maturity is unknown but appears to be a functional open-source project, possibly recent or in active development given its specific niche purpose."
}
```

1/3 tests passed

```json
{
  "overall": 68,
  "dimensions": {
    "token_efficiency": 8.0,
    "first_try_success": 7.0,
    "response_parseability": 6.0,
    "error_clarity": 5.0,
    "doc_quality": 8.0,
    "auth_simplicity": 7.0,
    "latency": 6.0,
    "consistency": 8.0
  },
  "pricing_normalized": {
    "type": "free",
    "cost": 0,
    "open_source": true,
    "notes": "Fully free and open source project on GitHub"
  },
  "issues": [
    "No llms.txt file found for AI-friendly documentation discovery",
    "No robots.txt file found (slight SEO/AI crawler issue)",
    "Website redirects to GitHub (project page rather than standalone site)",
    "Static code analysis tools have inherent limitations — need to be tested on real codebases for accuracy",
    "No structured API endpoint for programmatic interrogation of capabilities"
  ],
  "recommendations": [
    "Add llms.txt to make documentation directly consumable by AI agents",
    "Provide a JSON schema or OpenAPI spec describing the MCP server interface and its tools",
    "Add clear examples for common use cases (e.g., 'find chat-related files in this repo')",
    "Consider hosted demo or sandbox with sample repos for instant testing",
    "Include known limitations on platform-specific features in README"
  ]
}
```