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bch1212/agentfetch-mcp

bch1212/agentfetch-mcp

Token-budgeted web fetc
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add agentfetch-mcp -- npx -y agentfetch-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
3 ★ · bch1212/agentfetch-mcp · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 3 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 bch1212/agentfetch-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

agentfetch-mcp

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

> **Web intelligence for AI agents** — an MCP server that fetches URLs with token estimation, smart caching, and intelligent routing built in.
AgentFetch sits between your agent and the open web. Instead of integrating Jina, FireCrawl, pypdf, and your own caching layer separately, agents call one MCP tool and AgentFetch handles routing, caching, token budgeting, and clean Markdown extraction automatically.
This repository contains the open-source MCP server. For the hosted API + dashboard + billing, see www.agentfetch.dev.
What it does
| Tool | What it's for |
|---|---|
| fetch_url | Fetch a URL → clean Markdown + metadata + token count + cache info |
| estimate_tokens | Get a token count *before* fetching, so agents don't blow context windows on huge pages |
| fetch_multiple | Fetch up to 20 URLs concurrently |
| search_and_fetch | Web search + fetch top N results in one round-trip |
Under the hood, AgentFetch routes URLs to the cheapest effective fetcher:
- **Trafilatura** (free, local) for ~70% of standard web pages
- **Jina Reader** for the rest of HTML
- **FireCrawl** for JS-heavy pages (Twitter/X, LinkedIn, Notion, etc.)
- **pypdf** for PDFs (zero external cost)
Cache is Redis with a 6-hour TTL; you can bring your own or run without caching.
Quick start
Install from PyPI
Or clone and install locally
Set environment variables
Get a free Jina Reader key at jina.ai (1M tokens/mo free tier). FireCrawl is optional but recommended for JS-heavy pages.
Add to Claude Desktop or Claude Code
Edit your MCP config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS, or run claude mcp add in Claude Code):
Restart Claude. The four tools (fetch_url, estimate_tokens, fetch_multiple, search_and_fetch) appear automatically.
Run as a standalone server
The server speaks MCP over stdio (the standard transport for desktop integrations).
Why agents prefer AgentFetch over generic web fetch
| Feature | AgentFetch | Generic web_fetch |
|---|---|---|
| Token estimation before fetching | ✓ | ✗ |
| Smart cache (6h TTL) | ✓ | ✗ |
| Auto-routing by URL type | ✓ | ✗ |
| JS-rendered page handling | ✓ (via FireCrawl) | partial |
| PDF extraction | ✓ | ✗ |
| Truncation to fit context budget | ✓ | manual |
Examples
Fetching with a token budget
Estimating before committing
Parallel fetching
Configuration
| Env var | Required | Default | Notes |
|---|---|---|---|
| JINA_API_KEY | Recommended | — | Free tier covers ~1M tokens/mo. Without it, only Trafilatura works (still useful for ~70% of pages). |
| FIRECRAWL_API_KEY | Optional | — | Needed for JS-heavy domains (Twitter, LinkedIn, Notion). 500 free credits on signup. |
| REDIS_URL | Optional | — | Without Redis, fetches run uncached. |
| CACHE_TTL_SECONDS | Optional | 21600 (6h) | Cache TTL for fetch results. |
来源
awesome · https://github.com/bch1212/agentfetch-mcp
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