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    "short_description": "AgentQL MCP is an open-source Model Context Protocol server that integrates AgentQL's data extraction capabilities. It is relevant for agents that need structured web data extraction through an MCP-compatible tool surface."
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    "self_hostable": false,
    "has_api": true,
    "has_gui": false,
    "supports_mcp": true,
    "supports_docker": false
  },
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    "license": "MIT",
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    "github_stars": 174,
    "github_forks": 40,
    "github_repo_full_name": "tinyfish-io/agentql-mcp",
    "last_verified_at": "2026-06-11"
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        "label": "Homepage",
        "url": "https://docs.agentql.com/integrations/mcp"
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      "resource_type": "plugin",
      "visual_motif": "connectors, ports, and structured modules",
      "background_style": "minimal editorial surface with restrained open-source accent color",
      "title_overlay": "AgentQL MCP",
      "subtitle": "Model Context Protocol server that exposes AgentQL data extraction capabilities to AI agents.",
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  "tags": {
    "category": [
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      "open-source"
    ],
    "capability": [
      "plugin",
      "mcp",
      "protocol",
      "connectors",
      "browser-automation"
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    "scenario": [
      "browser-agent",
      "developer-workflow"
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  "machine_readable": {
    "canonical_url": "https://www.openagent.bot/plugins/agentql-mcp",
    "json_url": "https://www.openagent.bot/plugins/agentql-mcp.json",
    "markdown_url": "https://www.openagent.bot/plugins/agentql-mcp.md"
  },
  "seo": {
    "title": "AgentQL MCP: Web Data Extraction Server for AI Agents",
    "description": "AgentQL MCP is an open-source Model Context Protocol server that exposes AgentQL data extraction capabilities to AI agents."
  },
  "editorial": {
    "trust_note": "Verified from source links and project metadata.",
    "core_strengths": [
      {
        "title": "MCP extraction tool",
        "description": "AgentQL MCP exposes data extraction as a Model Context Protocol server.",
        "why_it_matters": "MCP makes extraction reusable across compatible agent environments."
      },
      {
        "title": "AgentQL integration",
        "description": "The server integrates AgentQL's data extraction capabilities.",
        "why_it_matters": "Structured extraction helps agents work with web data more reliably than raw page text."
      },
      {
        "title": "Web automation fit",
        "description": "Repository topics include Playwright, scraping, Cursor, Claude, and MCP.",
        "why_it_matters": "The project sits directly in the browser-agent and web-tooling stack."
      }
    ],
    "use_case_notes": [
      {
        "title": "Web data extraction",
        "description": "Expose structured web extraction to an MCP-compatible assistant."
      },
      {
        "title": "Browser-agent tools",
        "description": "Pair with browser workflows where agents need data, not only page navigation."
      },
      {
        "title": "Research automation",
        "description": "Extract structured information from web pages before synthesis."
      }
    ],
    "compare_notes": [
      {
        "title": "When to choose AgentQL MCP",
        "summary": "Compare it with nearby plugins by looking at hosting model, integration surface, license, and whether the official docs show the workflow you need."
      }
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        "url": "https://github.com/tinyfish-io/agentql-mcp",
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      "intro": "AgentQL MCP is an open-source Model Context Protocol server for AgentQL web data extraction.",
      "what_it_is": "It gives AI agents an MCP-compatible tool surface for extracting structured data from web pages.",
      "why_it_matters": "Web agents become more useful when they can extract reliable structured data rather than only browse pages.",
      "how_it_works": "Start with a non-sensitive page, configure the MCP server, and compare extracted data against the source before automating broader workflows.",
      "faq": [
        {
          "question": "Is AgentQL MCP open source?",
          "answer": "Yes. The GitHub repository is listed under the MIT license."
        },
        {
          "question": "Who should evaluate AgentQL MCP?",
          "answer": "Teams building MCP tools for web extraction, browser agents, or research automation should evaluate it."
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  "timestamps": {
    "created_at": "2026-06-11T00:00:00.000Z",
    "updated_at": "2026-06-11T00:00:00.000Z",
    "published_at": "2026-06-11T00:00:00.000Z"
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}