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.).
@vipul510-web
基本信息
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
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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.

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov
Open-source MCP to use Blender with any LLM

Health by Dr Brad works out a health plan from your own results: which screening is due at your age, and evidence-based suggestions, each with the reason and the published guideline or study behind it. Your record is one
Hindsight: Agent Memory That Learns
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
评论