Ship documents branded for
every customer account
your SaaS serves.
DocRocket is the document layer multi-tenant SaaS products embed once. Auto-extract each customer's brand from a URL, render proposals, reports, QBRs, and PDFs through an extensible design framework, and keep every customer account fully isolated — all over a single MCP connection.
Plans, limits, and trial details: full pricing — no surprises.
# 1. In Claude: Settings → Connectors → Add custom connector name: Docrocket url: https://mcp.docrocket.ai/v1/mcp-tools/docrocket-control/mcp # 2. Claude walks you through OAuth sign-in to your DocRocket account. # No API keys to copy — auth is handled for you. # 3. Claude can now generate branded docs autonomously: "Generate a proposal for Acme Corporation" # → Claude calls docrocket_brand_from_url("https://acme.com") # → Claude calls docrocket_generate_document(...) # → Returns: docs.docrocket.ai/d/abc123
# 1. In ChatGPT (Pro/Business): Settings → Connectors → Add name: Docrocket server_url: https://mcp.docrocket.ai/v1/mcp-tools/docrocket-control/mcp auth: OAuth # sign in to DocRocket when prompted # 2. Available tools exposed to the model: tools: - docrocket_brand_from_url - docrocket_list_brands - docrocket_generate_document - docrocket_list_templates # → Model generates branded PDFs on demand
# 1. In Cursor: Settings → MCP → Add new MCP server name: Docrocket url: https://mcp.docrocket.ai/v1/mcp-tools/docrocket-control/mcp # Or paste this into ~/.cursor/mcp.json: { "mcpServers": { "Docrocket": { "url": "https://mcp.docrocket.ai/v1/mcp-tools/docrocket-control/mcp" } } } # Cursor handles the OAuth handshake on first use.
# Any MCP-compatible agent framework works. # Example using LangChain / LlamaIndex / CrewAI: from mcp import MCPClient client = MCPClient( "https://mcp.docrocket.ai/v1/mcp-tools/docrocket-control/mcp", token=DR_OAUTH_TOKEN, ) # Extract brand from customer's website brand = client.call("docrocket_brand_from_url", url="https://acme.com") # Generate document — agent decides content doc = client.call("docrocket_generate_document", brand_id=brand.id, template="proposal", content={ ... }) print(doc.url) # docs.docrocket.ai/d/abc123
See DocRocket in action
A quick tour of how AI agents generate fully-branded documents through MCP. Tap to expand and unmute.
Same template. Two customer brands.
One generation pipeline — Acme Corp's navy and accent vs. GreenLeaf Inc's green system. Your users get PDFs and share links that look like their own brand team shipped them.
Three steps to branded documents at scale
DocRocket handles the brand extraction, design, and rendering — you just send content.
Extract brand from any URL
Point DocRocket at your customer's website. We automatically extract logo, colors, typography, and brand identity — no manual setup needed.
→ logo, colors, fonts, name
Let your product generate documents
Connect DocRocket via MCP from your app or agent. Your integration passes content and a brand — DocRocket handles layout, theming, PDF, and share URL.
docrocket_generate_document({
template: "proposal",
brand_id: "brand_x82"
})
Deliver to your customers
Get back a shareable URL and PDF download link. Embed in your app, email it, or display inline — documents are fully branded for each customer.
pdf: docs.docrocket.ai/d/abc.pdf
→ Customer sees their brand
Built for SaaS that ship documents
on behalf of every customer account.
Three things every multi-tenant SaaS needs to brand documents per customer — and that DocRocket gives you out of the box: automatic brand extraction, an extensible design framework, and strict customer-account isolation.
Customer-Account Multi-Tenant Segmentation
Every customer of your SaaS gets its own isolated brand bundle behind a brand_id — assets, palettes, fonts, components, and templates are scoped per account. Your backend passes the brand_id on every generate call and DocRocket guarantees tenant A never renders with tenant B's theme. Scale from 1 to 10,000 customer brands without routing logic in your codebase.
Automatic Brand Extraction Tools
Onboard a new customer with a single URL. docrocket_brand_from_url crawls the customer's site and extracts logo, primary and secondary colors, typography, and brand voice automatically — no design questionnaire, no PSD upload, no manual hex codes. Every document generated for that customer is on-brand from the first render.
Extensible Design Framework
Start with 20+ production-grade templates and a tokenized component library, then extend them: define your own components, override brand tokens per customer, or build entirely custom layouts in the web app and invoke them by name from MCP. Every template inherits each customer brand's colors, fonts, and logo — so one design change cascades across all tenants instantly.
Templates · Components · TokensCustom Components
Define your product's reusable blocks once — pricing tables, signature sections, legal disclaimers. Your agent drops them into any document by name. Every customer sees their brand, every time.
docrocket_list_components20+ Document Templates
Proposals, reports, contracts, invoices, QBRs, case studies, one-pagers — all professionally designed and auto-adapted to each customer's brand colors and logo.
docrocket_list_templatesCustom Templates & Layouts
When the library template is not enough, build your own in the web app — structure, sections, and brand slots — then call it by name from MCP like any built-in template. Need something bespoke? Talk to us about Enterprise layout support.
app.docrocket.ai / TemplatesPDF + Shareable Web URL
Every document gets a permanent PDF and a shareable web link, both generated in under 2 seconds. Embed inline, email it, or just hand the URL to your user. No hosting required.
pdf_url + share_urlBuilt for multi-tenant SaaS that ships customer-branded documents
If your product serves many customer accounts and each one expects documents that look like their own brand team made them, DocRocket is the layer you embed.
Vertical SaaS & B2B2C Platforms
Onboard a new customer with one URL, get a fully branded asset bundle. Every document your platform issues for that account — proposals, statements, reports, exports — uses their logo, colors, and typography automatically.
Customer Success & QBR Platforms
Programmatically issue QBRs, renewal decks, and exec summaries branded per customer account — same content pipeline, hundreds of distinct brands, zero manual decks.
Sales & CRM Automation
Your CRM or sales workflow generates customer-branded proposals at the push of a button — same template, correct logo and colors per account, isolated by brand_id.
AI Agents & AI-Native SaaS
Let your model generate branded docs for end users over MCP. Brand extraction, design framework, and tenant isolation are handled — your agent just passes content and a brand_id. Read the AI agents overview →
brand_id resolves to an isolated asset bundle — tenant A never renders tenant B's theme.One MCP endpoint.
Any AI agent.
DocRocket is AI-native by design. There's no REST API to maintain, no SDK to install — just connect your agent and let it work.
Multi-tenant flow: your team signs in with OAuth once per DocRocket workspace. Every tool call includes a brand_id (or resolves from your saved brands). DocRocket maps that ID to exactly one brand asset bundle — so two of your end customers hitting your product never see each other's colors, logos, or typography, even through the same MCP connection.
Single connection point
Point any MCP-compatible agent at mcp.docrocket.ai/v1/mcp-tools/docrocket-control/mcp and sign in with OAuth. No library installs. No version pinning. No breaking changes.
Works with every major model
Claude, ChatGPT, Gemini, LlamaIndex, LangChain, CrewAI — if it supports MCP tool calls, it works with DocRocket out of the box.
Manage brands in the web app
Set up customer brands once in app.docrocket.ai — your AI references them by name or ID from then on. No agent-side brand logic needed.
Up and running in under 5 minutes
No design skills. OAuth sign-in and a customer URL — no API keys to paste.
Start your 30-day free trial
Sign up at app.docrocket.ai with just your email — no credit card required. Full Pro-level access for 30 days.
Add the connector to your AI
No API keys to copy — DocRocket uses OAuth, so your agent prompts you to sign in once.
url: https://mcp.docrocket.ai/v1/mcp-tools/docrocket-control/mcp
Connect your AI agent
Add the MCP server to your agent. No install required — just a name and URL, then sign in with OAuth.
name: Docrocket url: https://mcp.docrocket.ai/v1/mcp-tools/docrocket-control/mcp
name: Docrocket url: https://mcp.docrocket.ai/v1/mcp-tools/docrocket-control/mcp
name: Docrocket url: https://mcp.docrocket.ai/v1/mcp-tools/docrocket-control/mcp
MCPClient("https://mcp.docrocket.ai/v1/mcp-tools/docrocket-control/mcp")
Generate your first document
Pass a customer URL and content. Get back a branded PDF link.
generate({ template: "proposal", ... })
Manage brands and build documents visually
The web app at app.docrocket.ai lets you manage all your customer brands, preview documents, and build docs manually when needed.
Document generation,
wired into your product
Teams use DocRocket as the document layer in their SaaS — QBR pipelines, proposal generators, and PDF exports, all branded per customer.
brand_id from the tenant row and calls DocRocket. Every customer gets their own branded QBR PDF — no logo or color routing code in the host app.generate_document. No hallucinated hex codes — the right colors and logo, every time.docrocket_list_templates). If you need a bespoke structure — sections, placeholders, or a layout that matches your product — create a custom template in the web app and call it by name from MCP the same way as a stock template. For complex enterprise layouts or white-glove design, contact us about Enterprise.
include: pricing_table) and DocRocket inserts the rendered block into the document. Components automatically inherit the current customer's brand colors and typography.
docs.docrocket.ai by default.
app.docrocket.ai. You can select a template, pick a brand, write content, and generate a document manually. That said, DocRocket is designed primarily as an AI tool. The web app is for setup, management, and the occasional one-off — not for high-volume manual use.