Turn any AI agent into
a visual designer.
Edithly's MCP server gives Claude, Cursor, and any MCP-compatible agent 21 visual formats to build with — infographics, presentations, mind maps, flashcards, and more — generated from natural language, without leaving your agent.
No credit card required · 20 free credits · Setup in under 2 minutes
Product demo
Claude generating an infographic via Edithly MCP
Schema-driven, every time
Structured output instead of freeform hallucinated HTML.
The agent picks the format
Claude or Cursor reasons about your content on its own.
Never leave your agent
Ask, review, and iterate without a separate tab.
Ask in plain language
Turn this research doc into an infographic with the top 3 stats and a comparison table.
Your agent picks the format, fills the schema, and hands back a link — no design tool, no copy-pasting.
21 formats
One tool call away from any format
Every format is schema-driven — the agent fetches the exact structure before it builds, so output stays consistent instead of improvised.
Teach & study
- Flashcard deck
- MCQ quiz
- Question paper
- Study aids
- Solvesheet
- Glossary
- Cheatcode
Explain & visualize
- Infographic
- Mind map
- Timeline
- Comparison table
Present & pitch
- Slide presentation
- One-pager
- Brochure
- Case study
- Showcase
Plan & execute
- Action plan
- Use cases
- ROI calculator
- Kanban board
- AI poster image
How the agent decides
Three tool calls, no guesswork
This is the exact sequence Edithly's MCP server tells the agent to follow, in whichever client you're already working in.
The agent lists what's possible
Your agent calls get_visual_types() and sees all 21 formats — infographic, presentation, mind map, flashcard deck, and more — each with a description of what it's best for.
It fetches the exact schema
get_visual_schema(visual_type) returns the precise structure and a worked example, so the agent fills in real content instead of guessing at layout.
It renders and hands back a link
create_visual() (or create_image / create_solvesheet for those types) renders the design server-side and returns a shareable Edithly link — no copy-pasting HTML back into chat.
See it in action
A real request, start to finish — inside Claude, no tab switching.
Full walkthrough
Ask → agent picks a format → visual link comes back
Connect in under 2 minutes
Add this to your Claude Desktop, Cursor, or other MCP client config file. Swap in the API key from your Edithly account settings.
{
"mcpServers": {
"edithly": {
"command": "npx",
"args": ["-y", "@edithly/mcp-server"],
"env": { "EDITHLY_API_KEY": "your-api-key" }
}
}
}Restart your AI tool after saving — Edithly's tools will appear in its available tool list.
What people build
What people build with it
Turn research into something visual
Drop a messy doc or web page into the conversation and ask for an infographic, mind map, or comparison table. The agent reads the content and calls create_visual() with the right schema — no design tool required.
Turn research into something visual
Screenshot or short clip of the result
Generate study material on demand
Ask for a flashcard deck, MCQ quiz, or question paper from whatever your agent already has open. Solvesheets are backend-solved, not agent-invented, so worked steps stay accurate.
Generate study material on demand
Screenshot or short clip of the result
Ship a deliverable, not just an answer
Have the agent draft a one-pager, brochure, or slide presentation it can hand straight to a teammate or prospect — a link back, not a wall of markdown.
Ship a deliverable, not just an answer
Screenshot or short clip of the result
Why this beats another chat window
21 formats, one schema-driven tool
Every visual type — jumbotron, stats grid, chart, table, timeline, kanban — follows a defined component schema, so output is structured and on-brand instead of freeform hallucinated HTML.
The agent picks the right format
Claude or Cursor reasons about your content and chooses cheatcode vs. infographic vs. one-pager on its own, then fills in the schema — you don't have to know Edithly's format names.
Never leave your agent
No browser tab, no separate app to open. Ask for a visual, review it, ask for changes — all inside Claude Desktop, Claude Code, Cursor, or Windsurf.
Projects and credits, tracked
list_projects() and get_credit_balance() let the agent check what's already been made and how much budget is left before it generates something new.
Give your agent a design studio
Create a free Edithly account, grab your API key, and your agent can start generating visuals in minutes.
Frequently asked questions
What is MCP?+
The Model Context Protocol (MCP) is an open standard, introduced by Anthropic, that lets AI agents like Claude connect to external tools through one common interface instead of a custom integration for every tool.
What can I actually generate through Edithly's MCP server?+
21 visual types: infographics, mind maps, slide presentations, flashcard decks, MCQ quizzes, question papers, comparison tables, timelines, brochures, one-pagers, case studies, action plans, ROI calculators, kanban boards, AI poster images, and more. Call get_visual_types() from your agent for the full list with descriptions.
Which AI tools support MCP?+
Claude Desktop, Claude Code, Cursor, Windsurf, Zed, and a growing list of MCP-compatible clients. Any agent built on the MCP standard can connect to Edithly's MCP server.
Do I need to be a developer to set this up?+
No. Setup is a short JSON config entry (shown above) in your AI tool's settings. You'll need a free Edithly API key from your account — no coding required for basic use.
How much does it cost?+
Free accounts start with 20 credits. Most visual types cost 1 credit each; AI poster images cost 4 credits. Unused credits roll over — see the app for current plan details.
Does the agent make up the content, or is it grounded?+
The agent supplies the content based on what's in its context — your documents, chat history, or research. Solvesheets are the one exception: the backend solves the problem server-side so the agent can't invent steps.