crawlgraph-mcp
MCP server for the CrawlGraph backlink-intelligence API. Gives any MCP client - Claude Desktop, Claude Code, Cursor, Cline, Zed, Windsurf - backlink lookups and competitor gap analysis built on the public Common Crawl webgraph (4.4B edges, 120M domains).
README
crawlgraph-mcp
MCP server for the CrawlGraph backlink-intelligence API. Gives any MCP client — Claude Desktop, Claude Code, Cursor, Cline, Zed, Windsurf — backlink lookups and competitor gap analysis built on the public Common Crawl webgraph (4.4B edges, 120M domains).
Backlink data without the $129/month subscription. CrawlGraph is $99 lifetime; API access is included on the lifetime tier.
What you can do
backlinks— every referring domain for a target, with authority scoresgap_analysis— domains linking to your competitors but not to yougap_outreach_targets— the warm-outreach play: the domains that link to all of your competitors but not to you, ranked and de-noised. These are publishers who cover your whole space and have simply never heard of you — the warmest backlink targets you will ever pitch.releases— list the Common Crawl snapshots you can query
Install
You need a CrawlGraph API key (cg_live_...) from your account page. API access is a lifetime-tier feature.
Claude Desktop / Claude Code
Add to your MCP config (claude_desktop_config.json, or .mcp.json for Claude Code):
{
"mcpServers": {
"crawlgraph": {
"command": "npx",
"args": ["-y", "crawlgraph-mcp"],
"env": {
"CRAWLGRAPH_API_KEY": "cg_live_your_key_here"
}
}
}
}
Cursor / Windsurf / Cline / Zed
Same shape — point the client's MCP config at npx -y crawlgraph-mcp with CRAWLGRAPH_API_KEY in the env. Restart the client and the four tools appear.
The outreach play, in one prompt
Once it's connected, you don't call the tools by hand — you describe the goal:
"Use gap_outreach_targets for mydomain.com against competitor-a.com and competitor-b.com, then draft a short, specific outreach email to each priority target."
Behind the scenes the server submits the gap job, polls until it completes, filters the results down to the domains that link to every competitor but not to you, strips out platform/CDN noise (amazonaws, github, facebook, ...), and hands your agent a clean ranked list to write outreach against.
Why 2-3 competitors, not one: a site linking to one competitor might be a fluke or a paid placement. A site linking to three of your competitors is a publisher who covers your whole category. That overlap is the qualifier.
Tools reference
| Tool | Arguments | Quota cost |
|---|---|---|
backlinks |
domain, limit?, sort? (authority|hosts), release_id? |
1 backlinks call |
gap_analysis |
my_domain, competitor_domains[] (1-5) |
1 gap job |
gap_outreach_targets |
my_domain, competitor_domains[] (2-5), include_platforms? |
1 gap job |
releases |
— | free |
Lifetime quota: 1,000 backlinks calls + 50 gap jobs per calendar month. Full API reference: crawlgraph.com/docs/api.
Configuration
| Env var | Required | Default |
|---|---|---|
CRAWLGRAPH_API_KEY |
yes | — |
CRAWLGRAPH_BASE_URL |
no | https://crawlgraph.com |
Limitations
CrawlGraph is a quarterly Common Crawl snapshot, not a live crawler. It's built for one-off competitor prospecting, not live backlink monitoring — for change-tracking within days, a continuous-crawl tool like Ahrefs is the right choice. The gap result carries which competitors each domain links to (found_on) but not per-domain authority; use the backlinks tool if you need to score an individual target.
Develop
npm install
npm run build
CRAWLGRAPH_API_KEY=cg_live_... npm start
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。