bch1212/agentfetch-mcp
by Various
MCP server for fetching web URLs with token estimation, caching, and intelligent routing. Built for AI agents.
MCP
bch1212/agentfetch-mcp
Added 1 June 2026
Overview
A Model Context Protocol server that retrieves web page content for AI agents. It estimates token counts, caches responses, and routes requests intelligently.
Best for
Best for
Developers building AI agents that need efficient web fetching with token management
Use cases
- Fetching web content for AI agent context
- Reducing token usage with estimation and caching
- Routing requests to optimize performance
Notes
A Model Context Protocol server that retrieves web page content for AI agents. It estimates token counts, caches responses, and routes requests intelligently.
0 stars on GitHub. Last updated 2026-05-10. Licensed MIT.
Use cases
- Fetching web content for AI agent context
- Reducing token usage with estimation and caching
- Routing requests to optimize performance
Pros
- Token estimation helps control API costs
- Caching avoids redundant network requests
- Intelligent routing can improve response times
Cons
- No community adoption or reviews (0 stars)
- Limited to Python environments
- May lack robustness of more established tools
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Token estimation helps control API costs
- Caching avoids redundant network requests
- Intelligent routing can improve response times
Cons
- No community adoption or reviews (0 stars)
- Limited to Python environments
- May lack robustness of more established tools
Pairs with
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