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pucilpet/crawlgraph-mcp

by Various

MCP server for the CrawlGraph backlink-intelligence API (Common Crawl webgraph). Backlink lookups + competitor gap analysis for Claude, Cursor, Cline, and any MCP client.

MCP

pucilpet/crawlgraph-mcp

Added 7 June 2026

#ahrefs-alternative #backlinks #claude #common-crawl #cursor #gap-analysis #mcp #model-context-protocol

Overview

An MCP server that wraps the CrawlGraph backlink-intelligence API, which is built on Common Crawl webgraph data. It enables backlink lookups and competitor gap analysis from within MCP-compatible clients like Claude, Cursor, and Cline.

Best for

Best for
Developers building SEO tools or AI agents that need backlink data via MCP

Use cases

  • Retrieve backlinks for a given domain to analyze its link profile
  • Identify competitor backlink gaps by comparing two domains
  • Integrate backlink data into AI-assisted SEO or content workflows

How to use

Tools exposed

  • backlinks
  • gap_analysis
  • gap_outreach_targets
  • releases

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf, Cline, Zed

Example client config

{\n  "mcpServers": {\n    "crawlgraph": {\n      "command": "npx",\n      "args": ["-y", "crawlgraph-mcp"],\n      "env": {\n        "CRAWLGRAPH_API_KEY": "cg_live_your_key_here"\n      }\n    }\n  }\n}

Notes

An MCP server that wraps the CrawlGraph backlink-intelligence API, which is built on Common Crawl webgraph data. It enables backlink lookups and competitor gap analysis from within MCP-compatible clients like Claude, Cursor, and Cline.

0 stars on GitHub. Last updated 2026-06-01. Licensed MIT.

Use cases

  • Retrieve backlinks for a given domain to analyze its link profile
  • Identify competitor backlink gaps by comparing two domains
  • Integrate backlink data into AI-assisted SEO or content workflows

Pros

  • Leverages the large-scale Common Crawl dataset for broad backlink coverage
  • Works with popular MCP clients for seamless integration
  • Open source and written in TypeScript for easy customization

Cons

  • Depends on the CrawlGraph API, which may have rate limits or require a key
  • No stars or community activity yet, indicating early-stage project
  • Limited to data available in Common Crawl, which may not be fully up-to-date

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Leverages the large-scale Common Crawl dataset for broad backlink coverage
  • Works with popular MCP clients for seamless integration
  • Open source and written in TypeScript for easy customization

Cons

  • Depends on the CrawlGraph API, which may have rate limits or require a key
  • No stars or community activity yet, indicating early-stage project
  • Limited to data available in Common Crawl, which may not be fully up-to-date
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