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Crawleo/Crawleo-MCP

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Crawleo MCP Server - Real-Time Web Knowledge for AI Crawleo's Model Context Protocol (MCP) server enables AI assistants like Claude to access real-time web data directly through na

C

MCP

Crawleo/Crawleo-MCP

Added 1 June 2026

Overview

Crawleo MCP Server implements the Model Context Protocol to let AI assistants like Claude fetch live web data. It runs as a server that natively integrates with tool-capable AI models, providing direct access to current online information.

Best for

Best for
Developers building AI assistants that need live web data access

Use cases

  • Enabling AI assistants to retrieve current web information
  • Integrating real-time data into AI workflows
  • Building tools that require up-to-date web context

How to use

Install

npx crawleo-mcp

Tools exposed

  • web.search
  • web.crawl

Tested with

Claude Desktop, Cursor, Windsurf, VS Code, ChatGPT, OpenAI Platform

Example client config

{\n  "mcpServers": {\n    "crawleo": {\n      "command": "npx",\n      "args": ["crawleo-mcp"],\n      "env": {\n        "CRAWLEO_API_KEY": "YOUR_API_KEY_HERE"\n      }\n    }\n  }\n}

Notes

Crawleo MCP Server implements the Model Context Protocol to let AI assistants like Claude fetch live web data. It runs as a server that natively integrates with tool-capable AI models, providing direct access to current online information.

10 stars on GitHub. Last updated 2025-12-31. Licensed MIT.

Use cases

  • Enabling AI assistants to retrieve current web information
  • Integrating real-time data into AI workflows
  • Building tools that require up-to-date web context

Pros

  • Native MCP integration simplifies tool use for AI assistants
  • Supports real-time web data retrieval
  • JavaScript-based, easy to deploy and extend

Cons

  • Limited community adoption (10 GitHub stars) indicates early stage
  • Relies on external web dependencies for data access
  • Documentation and examples may be sparse

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Native MCP integration simplifies tool use for AI assistants
  • Supports real-time web data retrieval
  • JavaScript-based, easy to deploy and extend

Cons

  • Limited community adoption (10 GitHub stars) indicates early stage
  • Relies on external web dependencies for data access
  • Documentation and examples may be sparse

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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