The problem: your AI generates great content, but unbranded output

AI agents are excellent at generating document content — drafting a proposal, summarizing account performance, writing a case study. The problem is the output: plain markdown or a generic PDF that looks nothing like it came from your customer's company.

Getting that content properly branded to each customer — their logo, their colors, their fonts — requires design work, custom templates, or a complex rendering pipeline. Until now.

How DocRocket connects to your AI agent

DocRocket exposes all its functionality as MCP tools. MCP (Model Context Protocol) is the open protocol for AI tool use — supported by Claude, ChatGPT, Cursor, LangChain, LlamaIndex, CrewAI, AutoGen, and every major agent framework.

There is no SDK to install, no REST endpoint to call from your agent code, no API key to manage. Add the MCP server URL, sign in via OAuth once, and your agent can generate branded documents in any conversation.

1

Sign up (30 seconds)

Create a free account at app.docrocket.ai. Email only — no credit card. 30-day trial at Pro limits.

2

Add the MCP connector to your AI

In Claude: Settings → Connectors → Add custom connector
In ChatGPT: Settings → Connectors → Add
In Cursor: Settings → MCP → Add new MCP server

name: Docrocket
url:  https://mcp.docrocket.ai/v1/mcp-tools/docrocket-control/mcp

Sign in to your DocRocket account when OAuth prompts you.

3

Generate your first document

Ask your AI: "Generate a proposal for Acme Corporation"

The agent automatically calls the right tools in sequence:

# Agent calls these tools in sequence:
docrocket_brand_from_url("https://acme.com")
# → brand_id: "br_abc123", logo extracted, colors: #1e3a5f, #c0392b

docrocket_generate_document(
    brand_id="br_abc123",
    template="proposal",
    content={ ... agent writes this ... }
)
# → web_url: "docs.docrocket.ai/d/xyz789"
# → pdf_url: "docs.docrocket.ai/d/xyz789.pdf"
# Total time: 1.8 seconds

Available MCP tools

Your AI agent has access to six tools:

  • docrocket_brand_from_url — extract brand identity from any website URL
  • docrocket_list_brands — list saved brands (so the agent can reuse them)
  • docrocket_list_templates — list available document templates
  • docrocket_list_components — list reusable custom components
  • docrocket_generate_document — generate a branded document
  • docrocket_get_document — fetch document URLs

Custom agent example (LangChain / LlamaIndex / CrewAI)

from mcp import MCPClient

# Connect once — share the client across your agent
client = MCPClient(
    "https://mcp.docrocket.ai/v1/mcp-tools/docrocket-control/mcp",
    token=DR_OAUTH_TOKEN,  # obtained via OAuth flow
)

# In your agent's tool callback:
async def generate_proposal(customer_url: str, content: dict):
    # Extract brand from customer's website
    brand = client.call("docrocket_brand_from_url", url=customer_url)

    # Generate the document
    doc = client.call("docrocket_generate_document",
                  brand_id=brand.brand_id,
                  template="proposal",
                  content=content)

    return doc.web_url  # "docs.docrocket.ai/d/abc123"

Compatible agents

Claude (claude.ai) Claude Desktop Claude API ChatGPT Pro/Business Cursor Gemini LangChain LlamaIndex CrewAI AutoGen Semantic Kernel Any MCP client

What your agent can do with DocRocket

  • Generate branded proposals the moment a prospect enters your pipeline
  • Produce quarterly business reviews for every customer account automatically
  • Create renewal decks branded to each account on demand
  • Generate case studies, one-pagers, and executive summaries without touching a design tool
  • Reuse saved brands — once extracted, a brand can be used for unlimited documents
  • Reference custom components like pricing tables or legal disclaimers by name

Connect your AI agent today

30-day free trial. No credit card. Live in under 5 minutes.

Start free trial →

Frequently asked questions

How does DocRocket integrate with an AI agent?

Via MCP. Add the DocRocket MCP server URL to your agent and sign in via OAuth. The agent can then call docrocket_brand_from_url, docrocket_generate_document, and other tools. No SDK, no REST calls, no API keys.

Which AI agents work with DocRocket?

Any MCP-compatible agent: Claude (all versions), ChatGPT Pro/Business, Cursor, Gemini, LangChain, LlamaIndex, CrewAI, AutoGen, Semantic Kernel, and any agent built with the MCP Python or TypeScript SDK.

What happens when my AI asks DocRocket to generate a document?

The agent calls docrocket_brand_from_url with the customer's website URL, then docrocket_generate_document with the brand ID, template, and content. DocRocket returns a PDF URL and shareable web URL within 2 seconds. Brand extraction takes a few additional seconds on the first call for a new customer; subsequent documents for that brand are immediate.