bch1212/agentfetch-mcp

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

How to use

Install

pip install agentfetch-mcp

Tools exposed

• fetch_url
• estimate_tokens
• fetch_multiple
• search_and_fetch
• JINA_API_KEY
• FIRECRAWL_API_KEY
• REDIS_URL
• CACHE_TTL_SECONDS

Tested with

Claude Desktop, Claude Code

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.