toolfare

Ask your AI to read any page — the cheap, fast way.

Any public URL returned as clean, LLM-ready text — the lightest way to read a page when you do not need rendering options or structured extraction — answered inside ChatGPT, Claude, Codex or Cursor. No Jina account or key of your own: toolfare makes each call, quotes it first, and charges the tokens Reader reports.

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Set it up in

Claude CodeCodexCursorVS CodeChatGPTClaude (web & desktop)Your own agent
toolfare

Sign in, grab the setup prompt from your console, paste it to your agent, ask something. That’s the whole setup.

toolfare research stack

traffic, SEO, app-store and ads intelligence

Jina Reader

Any web page as clean text, cheaply

Firecrawl

Scrape or crawl any site into clean text

ScreenshotOne

Screenshots of any page, full-length or mobile

200+

APIs

40+

apps

30+

skills

Ask once, let the agent choose the right source, and see the price before a paid data call runs.

No vendor keyQuoted per callOne research stack
About five minutes

Set it up once, in the app you already use.

There is nothing to install for Jina Reader specifically. One connection reaches every source in the catalogue, and this is one of them.

Claude Code

Use the MCP connection in your AI app, or run the toolfare CLI in its terminal. Both use browser approval, discover capabilities and quote paid calls before they run.

  1. 1

    Create your toolfare workspace

    The connection is public and identical for everyone — your toolfare sign-in is what points it at your data. Connect one account in that workspace too: that is what your AI reads. The first time your AI uses the connection, toolfare asks you to approve the access and names the workspace it will read through. No workspace yet? toolfare has you create one right there, then brings you back to approve.

    Create your workspace

    Already have one? Nothing to do here — sign in when the connection asks for it.

  2. 2

    Copy the toolfare MCP connection

    https://api.toolfare.ai/mcp
  3. 3

    Add it to Claude Code

    claude mcp add --transport http toolfare https://api.toolfare.ai/mcp
    1. Run the command in any project. It writes the configuration and prints an `Added …` line.
    2. Authorize separately — adding a server does not open a browser.
    3. Run `claude mcp list` to confirm the server reads `✔ Connected`.
  4. 4

    Approve the access, then ask it something

    1. Inside Claude Code, run `/mcp` and follow the browser flow — or, from your shell, `claude mcp login toolfare`.
    2. The toolfare consent page names the host, the workspace the grant will read through, and what the connection will be able to do.
    3. Approving creates the grant listed above on this page. Cancelling creates nothing.
    4. On a machine with no browser (SSH, headless Linux), `claude mcp login toolfare --no-browser` prints the URL and takes the pasted callback.

    Paste this first

    Using toolfare, search for what capabilities I can reach.

    A list of capabilities with names, what each reads and what each costs. An empty list means the search matched nothing — try broader words. An error naming authorization means the host never completed the browser step.

Checked 2026-08-25 against Claude Code documentation. Menu names change between releases — look for connectors, apps, tools or integrations.

Open the console to connect your accounts
1 thing you can ask it

Ask in plain English. These are the tools behind the answer.

Each one is a tool your AI is offered by name once you connect. You never have to type the name — it is here so you can tell what actually ran.

  • A page as clean text

    jina_reader_read

    Fetches one URL and returns its readable text, ready for your AI to work with — nothing more, and nothing slower.

    • “Read this page and tell me what it says.”
    • “What does this competitor’s about page claim?”
Pricing

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