Web Tools for AI Agents

Web tools for AI agents: URL to clean Markdown, site crawl, screenshots, PDF/Office to text, OCR.

What does this entry provide?

Web Tools for AI Agents is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 78/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Web Tools for AI Agents to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 78/100
Install method: streamable-http
Repo: projectworks007/apify-data-mcp
Repo updated: Oct 22, 2026

Install command

mcp add io.github.projectworks007/ai-agent-web-tools https://mcp.apify.com/?tools=highbrow_fame/web-fetch-api,highbrow_fame/website-screenshot-api,highbrow_fame/pdf-to-markdown-api,highbrow_fame/markdown-site-crawler,highbrow_fame/url-to-markdown-api,highbrow_fame/url-status-checker-api,highbrow_fame/ocr-api,highbrow_fame/office-document-to-text-api,highbrow_fame/seo-audit-api

Install method: streamable-http

Review the upstream source before running this command.

GitHub project

Quality

Repo stars

Repo updated

Oct 22, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-10-22T18:50:01.70231Z",
      "publishedAt": "2026-10-22T18:50:01.70231Z",
      "statusChangedAt": "2026-10-22T18:50:01.70231Z"
    }
  },
  "server": {
    "name": "io.github.projectworks007/ai-agent-web-tools",
    "title": "Web Tools for AI Agents",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "remotes": [
      {
        "url": "https://mcp.apify.com/?tools=highbrow_fame/web-fetch-api,highbrow_fame/website-screenshot-api,highbrow_fame/pdf-to-markdown-api,highbrow_fame/markdown-site-crawler,highbrow_fame/url-to-markdown-api,highbrow_fame/url-status-checker-api,highbrow_fame/ocr-api,highbrow_fame/office-document-to-text-api,highbrow_fame/seo-audit-api",
        "type": "streamable-http"
      }
    ],
    "version": "1.0.2",
    "repository": {
      "url": "https://github.com/projectworks007/apify-data-mcp",
      "source": "github"
    },
    "websiteUrl": "https://github.com/projectworks007/apify-data-mcp#ai-agent-web-tools",
    "description": "Web tools for AI agents: URL to clean Markdown, site crawl, screenshots, PDF/Office to text, OCR."
  }
}

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