What data sources does Backlink For Seo use?
It pulls signals from DuckDuckGo, Wayback CDX, and direct HTTP fetches. Use judgement on rate limits, robots.txt directives, and recipient privacy (GDPR, CAN‑SPAM, etc.).
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Basic information
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
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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Backlink For Seo is a free, open‑source MCP server that automates SEO link research and outreach. It provides typed tools for discovering brand mentions, finding guest‑post and resource‑page opportunities, analyzing competitor backlinks, verifying on‑page links, and extracting contact signals—all orchestrated through Claude or Cursor without manual copy‑paste.
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).
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.find_mentions to track linked and unlinked brand mentions, then follow up accordingly.find_prospects by niche to identify resource pages and roundups.find_competitor_link_sources to uncover outreach targets.verify_page_links whether a page already links to you.verify_page_links and extract_contact_info to gather contact signals for finalists.It pulls signals from DuckDuckGo, Wayback CDX, and direct HTTP fetches. Use judgement on rate limits, robots.txt directives, and recipient privacy (GDPR, CAN‑SPAM, etc.).
Yes. It is a free, automatable alternative to classic SEO suites that charge heavily for link indexes.
Clone the repo, set up a Python 3.10+ virtual environment, install the required packages, and point your MCP client (Claude Desktop or Cursor) to `server.py` with the correct Python executable path.
Six tools: `find_mentions`, `find_prospects`, `find_competitor_link_sources`, `verify_page_links`, `extract_contact_info`, and `check_page_history` (Wayback checks).
Yes. The README shows a typical workflow: start with `find_prospects` or `find_competitor_link_sources`, filter to realistic domains, run `verify_page_links`, then `extract_contact_info` before drafting outreach.
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