Puter MCP
Puter MCP enables AI tools to interact with Puter: manage files, websites, workers, and more
Runs in the cloud✓ service owner · puter.com
Agentfetch
What it does
Token-budgeted web fetch for AI agents — auto-routes Jina, FireCrawl, Trafilatura, PDF.
- Connects Runs on your computer
- Account or key Needs JINA_API_KEY
- Category Docs, sheets & office work
Install
Pick the AI app you use, then copy the settings.
Passed 3/3 checks · Runs on your computer · ✓ Commands checked Nov 14, 2026
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
You need a Agentfetch key (create it on the maker’s site) · Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
Install Python (uv)
One time only; it works for every server that needs Python (uv)
Sign up and create a Agentfetch key
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
How to get a key is in the maker’s README below
Open the Claude desktop app’s settings file
SettingsDeveloperEdit Config
Paste these settings and save the file
{ "mcpServers": { "agentfetch": { "command": "uvx", "args": [ "agentfetch-mcp" ], "env": { "JINA_API_KEY": "your-value" } } } }Paste the key only into the app’s field, never into a chat or to anyone
Quit Claude and open it again
Try it
Use Agentfetch and tell me what you can do for me, then show me one thing✓ If Claude says it is using Agentfetch or shows a Agentfetch tool in the answer, you are connected
2 optional setting(s) (works without them)
The command above works without these. Add them only if you want to change something, following the maker’s description.
FIRECRAWL_API_KEYFireCrawl API key for JS pages. 500 free credits at firecrawl.dev. Optional.REDIS_URLRedis connection URL for response caching. Optional.
Descriptions are as written by the maker.
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect Agentfetch yet
Agentfetch runs on your computer, but ChatGPT can only connect servers that run on the web
What you can do instead
A · Use an app that can connect Agentfetch
- You need a Agentfetch key (create it on the maker’s site) · Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
- You need a Agentfetch key (create it on the maker’s site) · Install Python (uv) on your computer first (one time)
- You need a Agentfetch key (create it on the maker’s site) · Install Python (uv) on your computer first (one time)
- You need a Agentfetch key (create it on the maker’s site) · Install Python (uv) on your computer first (one time)
Works with Claude Code, with some setup first
You need a Agentfetch key (create it on the maker’s site) · Install Python (uv) on your computer first (one time)
Install Python (uv)
One time only; it works for every server that needs Python (uv)
Sign up and create a Agentfetch key
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
How to get a key is in the maker’s README below
Open Terminal
Mac: press Command+Space and type Terminal · Windows: open PowerShell
Paste this command and press Enter
claude mcp add --scope user agentfetch --env JINA_API_KEY=your-value -- uvx agentfetch-mcpReplace “your-value” with your key before pressing Enter
Paste the key only into the app’s field, never into a chat or to anyone
Type /mcp in Claude Code
You should see Agentfetch listed as connected
Try it
Use Agentfetch and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using Agentfetch or shows a Agentfetch tool in the answer, you are connected
2 optional setting(s) (works without them)
The command above works without these. Add them only if you want to change something, following the maker’s description.
FIRECRAWL_API_KEYFireCrawl API key for JS pages. 500 free credits at firecrawl.dev. Optional.REDIS_URLRedis connection URL for response caching. Optional.
Descriptions are as written by the maker.
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
You need a Agentfetch key (create it on the maker’s site) · Install Python (uv) on your computer first (one time)
Install Python (uv)
One time only; it works for every server that needs Python (uv)
Sign up and create a Agentfetch key
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
How to get a key is in the maker’s README below
Fill in your key
In the Agentfetch settings, JINA_API_KEY is empty; add your key and save
Paste the key only into the app’s field, never into a chat or to anyone
Open the AI chat in Cursor in Agent mode
Try it
Use Agentfetch and tell me what you can do for me, then show me one thing✓ If Cursor says it is using Agentfetch or shows a Agentfetch tool in the answer, you are connected
2 optional setting(s) (works without them)
The command above works without these. Add them only if you want to change something, following the maker’s description.
FIRECRAWL_API_KEYFireCrawl API key for JS pages. 500 free credits at firecrawl.dev. Optional.REDIS_URLRedis connection URL for response caching. Optional.
Descriptions are as written by the maker.
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
You need a Agentfetch key (create it on the maker’s site) · Install Python (uv) on your computer first (one time)
Install Python (uv)
One time only; it works for every server that needs Python (uv)
Sign up and create a Agentfetch key
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
How to get a key is in the maker’s README below
Fill in your key
In the Agentfetch settings, JINA_API_KEY is empty; add your key and save
Paste the key only into the app’s field, never into a chat or to anyone
Open the AI chat in VS Code in Agent mode
Try it
Use Agentfetch and tell me what you can do for me, then show me one thing✓ If VS Code says it is using Agentfetch or shows a Agentfetch tool in the answer, you are connected
2 optional setting(s) (works without them)
The command above works without these. Add them only if you want to change something, following the maker’s description.
FIRECRAWL_API_KEYFireCrawl API key for JS pages. 500 free credits at firecrawl.dev. Optional.REDIS_URLRedis connection URL for response caching. Optional.
Descriptions are as written by the maker.
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
For developers: Terminal commands and JSON settings
Installed on your computer
Claude Code
claude mcp add --scope user agentfetch --env JINA_API_KEY=your-value -- uvx agentfetch-mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"agentfetch": {
"command": "uvx",
"args": [
"agentfetch-mcp"
],
"env": {
"JINA_API_KEY": "your-value"
}
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"agentfetch": {
"command": "uvx",
"args": [
"agentfetch-mcp"
],
"env": {
"JINA_API_KEY": "your-value"
}
}
}
}VS Code (mcp.json)
{
"servers": {
"agentfetch": {
"type": "stdio",
"command": "uvx",
"args": [
"agentfetch-mcp"
],
"env": {
"JINA_API_KEY": "your-value"
}
}
}
}Values you fill in
JINA_API_KEYsecret required envJina Reader API key. Free tier ~1M tokens/mo at jina.ai/reader.FIRECRAWL_API_KEYsecret envFireCrawl API key for JS pages. 500 free credits at firecrawl.dev. Optional.REDIS_URLenvRedis connection URL for response caching. Optional.
Descriptions are as written by the maker.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
At a glance
Which apps can use it
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Related guides
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 14, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account bch1212, which owns the repo
- ✓ Pass
Still maintained
Code last changed 5 months ago
- ✓ Pass
Has a licence
Uses MIT
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Discussion
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
No posts yet. Be the first to ask or share.
Posts here are written by users, not the PopNx team.
User reviews
No reviews yet
Compared with others in Docs, sheets & office worki
- More stars than 89% of the other 3905 servers in this category
- Published to the registry more recently than 7% of the other 3905 servers in this category
- Basic checks equal to or better than 100% of the other 3905 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Agentfetch safe?
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
You need to fill in: JINA_API_KEY
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed 5 months ago, and the latest version (1.0.1) reached the registry 7 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
What can I use instead?
In the same category: Puter MCP, XcodeBuildMCP, XcodeBuildMCP
Others in the same category
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
XcodeBuildMCP
XcodeBuildMCP provides tools for Xcode project management, simulator management, and app utilities.
Runs on your computer✓ service owner · xcodebuildmcp.com
XcodeBuildMCP
XcodeBuildMCP provides tools for Xcode project management, simulator management, and app utilities.
Runs on your computer
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
agentfetch-mcp
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
pip install agentfetch-mcpOr clone and install locally
git clone https://github.com/bch1212/agentfetch-mcpcd agentfetch-mcp pip install -e .
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.
export JINA_API_KEY=jina_xxxexport FIRECRAWL_API_KEY=fc-xxx # optional export REDIS_URL=redis://localhost:6379 # optional
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):
{"mcpServers": { "agentfetch": { "command": "python", "args": ["-m", "agentfetch.mcp.server"], "env": { "JINA_API_KEY": "jina_xxx", "FIRECRAWL_API_KEY": "fc-xxx" } } } }
Restart Claude. The four tools (fetch_url, estimate_tokens, fetch_multiple, search_and_fetch) appear automatically.
Run as a standalone server
python -m agentfetch.mcp.serverThe 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
# Inside any MCP-aware agent (Claude Desktop, Claude Code, etc.)result = fetch_url( url="https://news.ycombinator.com", max_tokens=2000, # cap response size use_cache=True, # serve from cache if <6h old )
result.markdown → clean Markdown, ≤2000 tokens
result.metadata → title, author, word_count, language
result.cache.hit → True if served from cache
result.fetch_info → which fetcher ran, cost, duration
Estimating before committing
estimate = estimate_tokens(url="https://very-long-article.com")if estimate.estimated_tokens and estimate.estimated_tokens < 5000: result = fetch_url(url="https://very-long-article.com") else:
too big — skip or summarize via search_and_fetch with max_tokens_each
pass
Parallel fetching
results = fetch_multiple(urls=["https://docs.python.org/3/", "https://fastapi.tiangolo.com/", ...], max_tokens_each=1500, )
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. |
Development
git clone https://github.com/bch1212/agentfetch-mcpcd agentfetch-mcp pip install -e ".[dev]" pytest tests/
Hosted version
If you'd rather not manage your own keys, Redis, or the routing yourself, the hosted version at www.agentfetch.dev gives you:
- Pay-per-call pricing from $0.001/fetch
- 500 free fetches on signup, no credit card
- Managed Redis cache, automatic failover between fetchers
- Dashboard with usage tracking + invoices
The hosted API is a drop-in REST equivalent — same response shapes, same routing logic. You can run the OSS MCP locally and the hosted API in parallel, or migrate between them at any time.
License
MIT — see LICENSE.
The MCP server in this repo is open source. The hosted product, billing, and ops infrastructure live in a separate (private) repo.
Contributing
PRs welcome. If you're adding a new fetcher (e.g., Bright Data, ScrapingBee, etc.), please match the FetchResult interface in agentfetch/core/fetchers/__init__.py and add the cost to the routing logic.