Crawleo/Crawleo-MCP
by Various
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
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.searchweb.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
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