AgentRender

AgentRender MCP

URL → screenshot, PDF, or structured extract for AI agents via MCP.

Get a free API key instantly — 150 renders/month, no card: https://agentrenderapi.com/#waitlist (or just ask your agent to call the get_free_key tool with your email)

Pricing: Free — 150 renders/month with the free key (no card). Need more? Starter $17/month (2,000 renders/month): https://agentrenderapi.com/#pricing

Tools: screenshot (returns the image) · pdf (saves a file, returns its path) · extract (title, text, links as JSON) · get_free_key

Quick start

1. Get a free key: https://agentrenderapi.com/#waitlist (instant, no card).
2. Add the server to your client (below) with uvx agentrender-mcp. Needs uv.
3. Ask your agent: "Take a screenshot of https://example.com".

Claude Code

claude mcp add agentrender -e AGENTRENDER_API_KEY=akr_your_key -- uvx agentrender-mcp

Cursor (~/.cursor/mcp.json) / Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "agentrender": {
      "command": "uvx",
      "args": ["agentrender-mcp"],
      "env": {
        "AGENTRENDER_API_KEY": "akr_your_key"
      }
    }
  }
}

ChatGPT (OAuth — no API key)

AgentRender works as a ChatGPT app/connector with OAuth sign-in (no key to paste):

1. In ChatGPT, open Settings → Apps & Connectors (developer mode, until the directory listing is live) and choose Create / Add connector.
2. MCP server URL: https://api.agentrenderapi.com/mcp · Authentication: OAuth. ChatGPT discovers the authorization server automatically (RFC 9728 protected-resource metadata + dynamic client registration).
3. Click Connect and sign in with Google or email (Auth0). A free account (150 renders/month) is created on first sign-in.
4. Try: "Take a screenshot of https://example.com", "Save https://example.com as a PDF", or "Extract the headings from https://en.wikipedia.org/wiki/Web_scraping".

Monthly allowances, rate limits and resets: https://agentrenderapi.com/limits · Privacy: https://agentrenderapi.com/privacy

Hosted MCP (no install)

Remote Streamable HTTP endpoint: https://api.agentrenderapi.com/mcp with header Authorization: Bearer akr_your_key.

claude mcp add --transport http agentrender https://api.agentrenderapi.com/mcp \
  --header "Authorization: Bearer akr_your_key"

Cursor:

{
  "mcpServers": {
    "agentrender": {
      "url": "https://api.agentrenderapi.com/mcp",
      "headers": { "Authorization": "Bearer akr_your_key" }
    }
  }
}

pip instead of uvx

pip install agentrender-mcp
export AGENTRENDER_API_KEY=akr_your_key
agentrender-mcp          # or: python -m agentrender_mcp.server

Environment

Variable	Default	Purpose
AGENTRENDER_API_KEY	(required)	Your akr_ key — free, instant
AGENTRENDER_BASE_URL	https://api.agentrenderapi.com	API base

Tools

Tool	Maps to	Returns
screenshot	POST /v1/screenshot	MCP image block (JPEG by default; format = png/webp) + short receipt. Optional save_path.
pdf	POST /v1/pdf	Saves the PDF locally (save_path or temp dir); returns path, bytes, page count.
extract	POST /v1/extract	Title, meta description, canonical, main text, links (non-LLM).
get_free_key	POST /v1/eval-key	Issues a free key (150/mo) for your email and uses it for the session.

Plans

Free: 150 renders/month with the free key, no card. Then Starter $17/month (2,000 renders) · Growth $79 · Scale $259 — https://agentrenderapi.com/#pricing

Every result includes a quota block (renders left this month). When the free 150 run out, tools return a clear quota_exceeded error with an upgrade_url — a Stripe checkout link tied to your key. Subscribe there and the same key is upgraded within seconds; just retry. Starting fresh from the website instead? Your new key is shown on the checkout confirmation page and emailed instantly.

REST

curl -s https://api.agentrenderapi.com/health
curl -s -X POST https://api.agentrenderapi.com/v1/extract \
  -H "Authorization: Bearer $AGENTRENDER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"url":"https://example.com"}'

Notes

• Do not commit API keys. Rotate any key that leaks.
• Support: [email protected]

License

MIT