"Information about Context7" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Strips 85-97% of HTML/DOM bloat into clean Markdown or JSON with cryptographic ROI proof.
Strips 85-97% of HTML/DOM boilerplate into clean Markdown, skeletons, or BM25-ranked RAG chunks.
Crawls any documentation or SaaS site and compiles a standards-compliant /llms.txt manifest and J.
Give AI assistants secure access to your organization's structured business data. Search records, create and update records, retrieve schema information, and manage workflow states using natural language. You need two values for every request: x-api-key — your Web Data Forms API Key x-group-id — your Web Data Forms Group ID You can find these in your Web Data Forms accounts group->information page. Preferred method: request header When possible, pass the credentials as HTTP headers: x-api-key: <your-api-key> x-group-id: <your-group-id> This is the preferred option because it keeps credentials out of the URL and is more secure. Fallback method: query parameters If your MCP client does not support custom headers, the server also accepts the credentials as URL query parameters. Example: https://mcp.webdataforms.com?x-api-key=abc123&x-group-id=xyz456 Detailed information here: https://github.com/Web-Data-Forms/mcp-server-docs/blob/main/README.md
Check which AI bots a site's robots.txt allows; read-only facts about Parallel World
Answers about vareen.net from its website: products, technical data, comparisons, sales contact.
Verification layer for the agentic web: a signed answer about any site before an agent acts.
Check what an AI assistant tells buyers about a company against the company's own pricing pages.
Free HTML parsing; static web context at 0.01 USDC via x402. Paid reads need a wallet adapter.
Where a link really goes, what the server says about itself, and what pages a site publishes.
Compact, citation-verifiable public web context for AI agents, paid per use with x402.
Bintu fetches a public webpage through MCP and returns cleaned text or chunks for AI-agent workflows. It is designed to reduce page clutter while preserving the source content needed for context.
Extract structured public contact data from any website, including emails, phones, social profiles, company information, and source URLs. Built for MCP agents and developer workflows that need reliable domain-to-contact extraction.
