Broken Link Checker
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Broken Link CheckerCheck if https://example.com is working"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Broken Link Checker MCP Server
A Model Context Protocol (MCP) server that provides broken link checking capabilities with streamable HTTP transport. This server enables AI assistants like Claude to check URLs, scan web pages, and crawl entire websites for broken links.
Features
Four powerful tools for link checking:
check_url- Verify a single URLcheck_html- Check all links in HTML contentcheck_page- Fetch and check all links on a webpagecheck_site- Recursively crawl and check an entire website
Streamable HTTP transport - Serverless-ready, no persistent connections required
JSON-RPC 2.0 - Standard MCP protocol support
Comprehensive results - Status codes, redirects, response times, and detailed error messages
Configurable options - Timeouts, redirect handling, custom user agents
Related MCP server: linkinator-mcp
Installation
npm install
npm run buildUsage
Running the Server
Development mode:
npm run devProduction mode:
npm run build
npm startThe server will start on port 3000 by default (configurable via PORT environment variable).
Endpoints
Health check:
GET /healthMCP endpoint:
POST /mcp
Using with Claude Code
Add to your MCP settings:
claude mcp add --transport http broken-link-checker http://localhost:3000/mcpOr manually add to your MCP configuration:
{
"mcpServers": {
"broken-link-checker": {
"transport": "http",
"url": "http://localhost:3000/mcp"
}
}
}Tools
1. check_url
Check if a single URL is working or broken.
Parameters:
url(string, required) - The URL to checktimeout(number, optional) - Request timeout in milliseconds (default: 30000)followRedirects(boolean, optional) - Whether to follow redirects (default: true)maxRedirects(number, optional) - Maximum number of redirects (default: 5)userAgent(string, optional) - Custom User-Agent string
Example:
{
"tool": "check_url",
"arguments": {
"url": "https://example.com",
"timeout": 10000
}
}Response:
{
"url": "https://example.com",
"status": 200,
"statusText": "OK",
"broken": false,
"responseTime": 123
}2. check_html
Check all links within HTML content.
Parameters:
html(string, required) - HTML content to checkbaseUrl(string, required) - Base URL for resolving relative linksAll options from
check_url
Example:
{
"tool": "check_html",
"arguments": {
"html": "<a href='/about'>About</a>",
"baseUrl": "https://example.com"
}
}Response:
{
"totalLinks": 5,
"brokenLinks": 1,
"workingLinks": 4,
"results": [...]
}3. check_page
Fetch a webpage and check all links on it.
Parameters:
url(string, required) - The URL of the page to checkAll options from
check_url
Example:
{
"tool": "check_page",
"arguments": {
"url": "https://example.com"
}
}Response:
{
"page": {
"url": "https://example.com",
"status": 200,
"broken": false
},
"totalLinks": 25,
"brokenLinks": 2,
"workingLinks": 23,
"links": [...]
}4. check_site
Recursively crawl and check all links on a website.
Parameters:
url(string, required) - The starting URL of the sitemaxPages(number, optional) - Maximum pages to check (default: 50)All options from
check_url
Example:
{
"tool": "check_site",
"arguments": {
"url": "https://example.com",
"maxPages": 10
}
}Response:
{
"totalPages": 10,
"totalLinks": 150,
"brokenLinks": 5,
"workingLinks": 145,
"pages": [...]
}Conversational Usage Examples
Once connected to Claude Code, you can use natural language:
"Check if https://example.com is working"
"Scan https://mysite.com and find all broken links"
"Crawl https://blog.example.com and report any 404 errors"
"Check all the links on this page: https://docs.example.com/api"API Examples
Direct HTTP Request
curl -X POST http://localhost:3000/mcp \
-H "Content-Type: application/json" \
-d '{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "check_url",
"arguments": {
"url": "https://example.com"
}
}
}'List Available Tools
curl -X POST http://localhost:3000/mcp \
-H "Content-Type: application/json" \
-d '{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}'Deployment
Docker
Create a Dockerfile:
FROM node:22-alpine
WORKDIR /app
COPY package*.json ./
RUN npm ci --production
COPY dist ./dist
EXPOSE 3000
CMD ["node", "dist/index.js"]Build and run:
npm run build
docker build -t broken-link-checker-mcp .
docker run -p 3000:3000 broken-link-checker-mcpCloud Deployment
This server uses streamable HTTP transport and is serverless-ready. Deploy to:
Google Cloud Run - Scales to zero when idle
AWS Elastic Beanstalk - Managed Node.js hosting
Azure App Service - Integrated deployment
Render - One-click deployment
Railway - Git-based deployment
Architecture
This implementation uses:
Express.js - HTTP server
MCP SDK - Model Context Protocol implementation
got - HTTP client for link checking
parse5 - HTML parsing
TypeScript - Type-safe implementation
Zod - Runtime schema validation
Comparison with Original broken-link-checker
This MCP server provides:
✅ MCP protocol support for AI integration
✅ HTTP transport (stateless, serverless-ready)
✅ Simplified, focused API
✅ Modern TypeScript implementation
Original library offers:
Advanced HTML parsing options
Robot exclusion protocol support
CLI interface
EventEmitter-based streaming
More granular configuration
License
MIT
Contributing
Contributions welcome! This is a reference implementation that can be extended with:
Additional link checking options
Better error handling
Caching layer
Rate limiting
Authentication support
Webhook notifications
Credits
Inspired by broken-link-checker by Steven Vachon.
This server cannot be deployed
Maintenance
Related MCP Connectors
MCP tools for AI agents: render URLs to image/PDF, check link health, convert HTML/CSV/JSON.
- RampifyOAuthdev.rampify
SEO MCP server: crawl your site, find AI-visibility gaps, and ship the fix from your coding agent.
MCP server for secureFlows: token-free URL builders and integration-linting tools for AI agents.
Your agent needs to crawl a site and say what is wrong with it — broken tags, duplicate content, pages nothing can index, resources that never load. **What you can ask for** • "Crawl this site and list every page with a duplicate title or missing description." • "Which pages are non-indexable, and why?" • "Run Lighthouse on these URLs and give me the failing audits." • "Show the internal link graph and the orphan pages." • "Give me this page's raw HTML and its microdata." **How to use it** Point any MCP client at https://mcp.aisa.one/seo-onpage/mcp and sign in with OAuth — there is no key to create or paste. 20 tools: submit a crawl and read its summary, pages, resources, links and waterfall; duplicate content and duplicate tags; keyword density; non-indexable and uncrawlable resources; parsed content, raw HTML, microdata, screenshots and Lighthouse. **Why this rather than the source** A crawler you drive from the agent, with the audit results as structured data rather than a PDF. **It is also a door to the rest** The same login reaches 26 sources and 580+ operations. Find the broken pages here, then ask the same agent what those pages used to rank for — without adding a second server. **What it costs** Finding and inspecting an operation is free. Running one is billed per call at API prices, with no seat and no monthly minimum, and every call takes max_price_usd so an agent cannot overspend by accident. **Where else it reaches** https://mcp.aisa.one/seo/mcp for all of it at once — rankings, keywords, backlinks, site health and AI-answer visibility across DataForSEO, Semrush and Ahrefs.
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