linkrescue-mcp 0.1.1

MCP server for broken link detection, monitoring, and AI-powered fix suggestions

LinkRescue MCP Server

Find broken links fast, prioritize by impact, and generate fix suggestions your AI agent can act on.

LinkRescue MCP exposes broken-link scanning, monitoring, and remediation workflows through the Model Context Protocol (MCP), so tools like Claude and Cursor can run link-health operations directly.

What You Get

• check_broken_links: scan a URL (or sitemap) and return a structured broken-link report
• monitor_links: set up recurring monitoring for a website
• get_fix_suggestions: generate prioritized remediation recommendations
• health_check: verify MCP server and backend API connectivity

If the LinkRescue backend API is unreachable, the server falls back to realistic simulated data so local testing and demos keep working.

Requirements

• Python 3.11+
• pip

Quick Start

git clone https://github.com/carsonroell-debug/linkrescue-mcp.git
cd linkrescue-mcp
pip install -r requirements.txt
python main.py

MCP endpoint:

• http://localhost:8000/mcp

Configuration

Variable	Description	Default
LINKRESCUE_API_BASE_URL	Base URL for LinkRescue API	http://localhost:3000/api/v1
LINKRESCUE_API_KEY	API key for authenticated requests	empty

Example:

export LINKRESCUE_API_BASE_URL="https://your-api.example.com/api/v1"
export LINKRESCUE_API_KEY="your-api-key"
python main.py

Running Options

Run directly:

python main.py

Run via FastMCP CLI:

fastmcp run main.py --transport streamable-http --port 8000

Connect an MCP Client

Claude Desktop

Add this to claude_desktop_config.json:

{
  "mcpServers": {
    "linkrescue": {
      "url": "http://localhost:8000/mcp"
    }
  }
}

Claude Code

claude mcp add linkrescue --transport http http://localhost:8000/mcp

Try It

fastmcp list-tools main.py
fastmcp call-tool main.py health_check '{}'
fastmcp call-tool main.py check_broken_links '{"url":"https://example.com"}'

Tool Inputs and Outputs

check_broken_links

Inputs:

• url (required): site URL to scan
• sitemap_url (optional): crawl from sitemap
• max_depth (optional, default 3): crawl depth

Returns scan metadata, broken-link details, and summary statistics.

monitor_links

Inputs:

• url (required)
• frequency_hours (optional, default 24)

Returns monitoring ID, schedule details, and status.

get_fix_suggestions

Input:

• full report from check_broken_links, or
• raw broken_links array, or
• JSON string of either format

Returns prioritized actions and suggested remediation steps.

health_check

No input. Returns server status and backend API reachability.

Deployment

Smithery

This repo includes smithery.yaml and smithery.json.

1. Push repository to GitHub
2. Create/add server in Smithery
3. Point Smithery to this repository

Docker / Hosting Platforms

A Dockerfile is included for Railway, Fly.io, and other container hosts.

# Railway
railway up

# Fly.io
fly launch
fly deploy

Set LINKRESCUE_API_BASE_URL and LINKRESCUE_API_KEY in your host environment.

Architecture

Agent (Claude, Cursor, etc.)
  -> MCP
LinkRescue MCP Server (this repo)
  -> HTTP API
LinkRescue Backend API

This server is a translation layer between MCP tool calls and LinkRescue API operations.

Additional README Variants

• Developer-focused version: README.dev.md
• Marketplace-focused version: README.marketplace.md