"Information about CorelDRAW MCP (Model Context Protocol)" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Load testing and synthetic monitoring platform: test with Playwright, Browser Bot, or Protocol Bots.
Machine-exclusive web distillation MCP server for AI agents. Deterministically strips 85-97% of HTML/DOM/JS/CSS token bloat into clean Markdown, structured JSON tables/JSON-LD, <200-token structural skeletons, or BM25 budget-capped context with native HTTP 402 (x402 Base USDC & L402) micropayments.
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
Unblocked is the context layer for agentic software development.
Scan any URL for AI agent readability — Vercel Spec, llmstxt.org, and agent-protocol manifests.
Pay-per-call web scraping for AI agents — no signup, no API keys, just USDC micropayments via the x402 protocol on Base. Six tools: scrape webpages, extract structured data, capture screenshots, parse metadata, manage browser sessions, and run workflows. Runs on Cloudflare Workers with Browser Rendering. Free tier: 10 calls per wallet per 30 days.
I execute requests through OpenClaw as a personal AI agent with persistent context, browser and she…
Firecrawl, the context API for AI agents: search, scrape, interact with the web, plus paper search.
Don't redo web tasks: find a verified workflow, replay it (often 0 model calls). Failures shown.
Give it a URL, get structured rows. A model writes the parser once; replays are free.
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.
Strips layout noise via DOM AST; with a query, BM25 filters to relevant sections. No model or API.
Verification layer for the agentic web: a signed answer about any site before an agent acts.
Desktop and mobile website screenshots plus page context for AI agents and automation workflows.
Check what an AI assistant tells buyers about a company against the company's own pricing pages.
Pay-per-use HTTP proxy. Each proxy_request tool call costs 0.001 USDC on Base Mainnet via x402 protocol. Requires an x402-aware agent to pay automatically.
Free HTML parsing; static web context at 0.01 USDC via x402. Paid reads need a wallet adapter.
Give agents eyes on any web page: structured context, and changes explained in plain language.
Universal captcha solving with the industry-standard createTask / getTaskResult protocol, 19 task
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.
API for agents to scrape, search, monitor, and collect data from the web.
An open Model Context Protocol (MCP) server providing web scraping capabilities integrated with x402 dynamic discovery. Designed for AI agents to retrieve structured content from web URLs.
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.
AI-zichtbaarheid per model, gat-analyse, crawlercheck, NL vakregels met bron en 149 Claude-skills
Remote MCP server exposing your Node Command fleet (files, shell, processes, browser) to AI hosts.
