Backlink For Seo

by vipul510-web

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About

Classic SEO suites charge heavily for link indexes. This MCP gives individuals and agencies a free, automatable path to: surface pages that mention a brand (linked or not), narrow guest-post and resource-page angles, see who links to competitors, verify whether a page links to yo

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vipul510-web
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262
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- find_mentions: Discover pages that mention your domain (linked or unlinked).
- find_prospects: Surface guest‑post, resource‑page, and roundup opportunities.
- find_competitor_link_sources: Find pages linking to a competitor for outreach.
- verify_page_links: Scrape a URL to confirm links and gather on‑page hints.
- extract_contact_info: Pull emails, socials, and contact pages from a site.
- check_page_history: Search Wayback Machine for page stability over time.

Clone the repository, create a Python 3.10+ virtual environment, install dependencies (pip install mcp duckduckgo-search httpx beautifulsoup4 lxml), then register server.py in Claude Desktop or .cursor/mcp.json with the absolute Python path. After setup, ask the assistant to chain tools (e.g., start with find_prospects, filter by domain, run verify_page_links, then extract_contact_info).

Why a Backlink MCP?

Classic SEO suites charge heavily for link indexes. This MCP gives individuals and agencies a free, automatable path to: surface pages that mention a brand (linked or not), narrow guest-post and resource-page angles, see who links to competitors, verify whether a page links to you, and pull contact signals for outreach—all orchestrated by Claude or Cursor through typed tools instead of brittle copy-paste.


Tools (from the MCP)

find_mentions — Discover pages mentioning your domain (linked or unlinked).
find_prospects — Guest posts, resource pages, and roundups by niche.
find_competitor_link_sources — Pages linking to a competitor (outreach targets).
verify_page_links — Scrape a URL to confirm links to you and gather on-page hints.
extract_contact_info — Emails, socials, and contact pages from a site.
check_page_history — Wayback checks to see if a URL has a stable history.
Signals come from DuckDuckGo, Wayback CDX, and direct fetches—use judgement on rate limits, robots directives, and recipient privacy (GDPR, CAN-SPAM, etc.).

Quick install

Clone vipul510-web/mcp-backlink-for-seo and create a Python 3.10+ venv.
Install: pip install mcp duckduckgo-search httpx beautifulsoup4 lxml (see repo for pinned versions).
Register server.py in Claude Desktop or .cursor/mcp.json with your absolute Python path.
Example Claude Desktop snippet (adjust paths):

{ "mcpServers": { "backlink-mcp": { "command": "/absolute/path/to/mcp-backlink-for-seo/.venv/bin/python", "args": ["/absolute/path/to/mcp-backlink-for-seo/server.py"] } } }
git clone https://github.com/vipul510-web/mcp-backlink-for-seo.git
Copy
Open README
Typical automation workflow
Ask your assistant to chain tools: start from find_prospects or find_competitor_link_sources, filter to realistic domains, run verify_page_links on finalists, then extract_contact_info before drafting outreach. For brand monitoring, begin with find_mentions and split linked vs unlinked follow-ups.

Pair with SellOnLLM analytics

Backlinks move rankings over time—validate impact in GA + GSC chat or the Claude MCP for SEO (referring URLs, landing pages, query deltas). For AI answer surfaces, add the AI visibility MCP.

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