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.
Sign up (30 seconds)
Create a free account at app.docrocket.ai. Email only — no credit card. 30-day trial at Pro limits.
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.
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 URLdocrocket_list_brands— list saved brands (so the agent can reuse them)docrocket_list_templates— list available document templatesdocrocket_list_components— list reusable custom componentsdocrocket_generate_document— generate a branded documentdocrocket_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
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.
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.