PDF API for AI agents

A PDF API for AI agents that keeps humans in control

Connect Claude, ChatGPT, or Cursor to PDFox through OAuth and MCP. Agents gather the data, PDFox renders the document, and published templates stay under human control.

Remote MCP serverOAuth accessDraft-only template creationNo API keys in prompts

Connect your agent Read MCP docs

Why this page exists

AI agents should decide what to generate, not how the PDF should look

Teams using AI agents for billing, support, finance, and operations often discover the same problem: the agent can gather data, but asking it to reason about page breaks, headers, tables, and fonts on every run is slow, expensive, and unreliable.

PDFox gives you a PDF API for AI agents through a remote MCP server. The agent authenticates with OAuth, reads approved templates, submits structured data for rendering, and returns signed PDF URLs without taking control of publishing or account settings.

Explore next

Explore the broader PDFox product surface

Pricing

Plan limits and pricing

Compare monthly PDF limits, webhooks, API access, and batch-friendly tiers.

Open page Docs

API docs

Review authentication, generation, polling, downloads, and MCP setup.

Open page Use cases

Real PDF workflows

See invoices, payslips, contracts, and delivery workflows built on PDFox.

Open page AI

MCP and AI agents

See how PDFox fits Claude, ChatGPT, and internal copilot workflows.

Open page

What PDFox gives you

What makes PDFox useful for agentic document workflows

The PDF generation layer needs to be reliable, scoped, and easy for a human team to audit.

MCP instead of pasted API keys

Connect AI clients through a remote MCP server and OAuth flow instead of embedding long-lived API secrets inside prompts or local tool configs.

Published templates only

Agents can inspect approved templates and optionally prepare drafts, but publishing remains a human review step in the dashboard.

Template-first rendering

Your agent supplies data. PDFox applies the layout, fonts, tables, and branding exactly as the template defines them.

Signed PDF delivery

Completed jobs return a time-limited download URL that the agent can pass back into the workflow or present directly to the user.

MCP workflow example

1. list_templates()
2. get_template_schema("tpl_invoice_vat")
3. generate_pdf({
     templateId: "tpl_invoice_vat",
     data: {
       account: { name: "Acme Ltd" },
       invoice: { number: "INV-2026-1042" }
     }
   })
4. download_pdf(jobId)

The agent orchestrates the workflow. PDFox handles rendering, job status, and the signed PDF artifact.

How teams use it

Choose PDFox when the agent needs a document tool, not a design problem

PDFox fits teams that want AI-driven workflows while keeping document quality, permissions, and review under control.

Internal copilots need document output

If your AI workflow already pulls data from Stripe, CRM, or support tools, PDFox becomes the rendering layer that turns those results into consistent PDFs.

You need scoped permissions and auditability

OAuth-based access, published-template boundaries, and explicit job history are easier to govern than ad hoc scripts around a headless browser.

Branding must not drift with every prompt

Teams choose PDFox when the PDF should look the same no matter which agent or prompt produced the data payload.

Frequently asked questions

Which AI tools can connect to PDFox? +

Do agents get access to unpublished templates? +

Does the agent need my PDFox API key? +

Can an agent return the generated PDF to a user? +

Give your AI agent a safer way to produce PDFs.

Use PDFox as the document layer behind MCP workflows so the agent can orchestrate without owning layout or publishing.