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MCP & agents

Your assistant’s work. Ready to present.

Connect Encelade through MCP. Turn your assistant’s research, notes, and data into a deck you can edit and share.

mcp.json
{
  "mcpServers": {
    "encelade": {
      "url": "https://www.encelade.ai/api/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Connect your MCP client to Encelade.

Why delegate

Spend your agent’s tokens on the thinking.
Not the slides.

Your agent sends a brief through MCP or the API. Encelade writes, lays out, and designs the deck, then returns a link to share.

Scripting the slides itself
Every text box, shape, and slide is another tool call, and every call and its result stays in the agent’s context.
Delegating to Encelade
One generate_project call carries the brief. A few short status checks later, the agent has a link to the finished deck.

How it works

From source material to shareable link.

  1. 01

    Connect your client

    Add the MCP endpoint and authenticate with an API key. Use Claude Code, Cursor, or your own compatible runtime.

  2. 02

    Give it the context

    Pass research, notes, data, or URLs to the generation tool in one brief. Encelade handles planning and slide creation.

  3. 03

    Return the result

    Check the generation run until it is done and pass the presentation link back to the person who needs it.

Built for agent workflows

A clear handoff.
At every step.

A native MCP connection
Discover and call scoped tools for projects, generation runs, AI edits, and themes over Streamable HTTP or SSE.
Your sources, together
Supply text, pasted data, and URLs in one brief of up to 200,000 characters per generation request.
An editable result
Generation produces a web presentation. Open it, review the content, and make changes before sharing with a buyer or colleague.
Permissions you control
Give each integration only the scopes it needs for reading, writing, generation, and webhook management.

See the complete handoff.

Explore an agent example, or connect directly through the REST API.

Your stack

Pick your starting point.

Choose your tool for setup instructions and working code examples.

MCP

Model Context Protocol

LangChain

Python agent framework

CrewAI

Python multi-agent framework

n8n

Workflow automation

REST API

HTTP API

Put your agent's work
in front of people.

Get an API key