Ottersnap MCP
Glint Render web rendering and evidence API: screenshots, PDFs, OG images, monitoring, extraction and tamper-evident evidence capture.
Install
The installation steps are in the documentation below. Documentation
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
ottersnap-mcp
MCP (Model Context Protocol) server for Glint Render — the web rendering & evidence platform by Moyu. — give Claude, Cursor, Codex and other AI agents eyes on any web page: pixel-perfect screenshots, print-ready PDFs and branded OG images from natural language.
Quick start
Get a free API key at ottersnap.com/dashboard (100 renders/month, no credit card), then add to your MCP client config:
{
"mcpServers": {
"glint-render": {
"command": "npx",
"args": ["-y", "ottersnap-mcp"],
"env": {
"GLINT_API_KEY": "otter_live_your_key_here"
}
}
}
}Or install globally:
npm install -g ottersnap-mcp
export OTTERSNAP_API_KEY=otter_live_your_key_here
ottersnap-mcpTools
| Tool | What it does |
|---|---|
render_screenshot | Renders any URL and returns the image visually — the agent can actually read the page. Supports full-page, retina 2×, dark mode, element hiding, cookie-banner blocking, iPhone/iPad/Android presets. |
render_pdf | URL or raw HTML → print-ready PDF (A4/Letter/Legal, landscape, margins, header/footer with page numbers). |
create_og_image | Branded 1200×630 social card, returned visually. Seven themes. |
extract_page | URL → structured JSON (title, description, headings, links, images, word count) or clean Markdown — built for RAG and agent pipelines. |
ai_extract | URL + natural-language prompt → structured JSON extracted by LLM. |
code_image | Code snippet → macOS-window syntax-highlighted PNG. |
check_usage | Remaining renders for the configured key. |
workflow_create | Create a workflow — an automation that runs steps (screenshot, extract, fetch any public API, AI, email, webhook) on a schedule, when a monitored page changes, or via webhook. |
workflow_list | List your workflows: trigger, steps, enabled state, last run. |
workflow_run | Run a workflow immediately and report every step's result. |
workflow_runs | Recent run history of a workflow. |
Example prompts
- "Screenshot github.com/trending and tell me which repos mention Rust"
- "Create a workflow that watches my landing page and emails me an AI summary whenever it changes"
- "Take a dark-mode full-page capture of my landing page and check the footer renders"
- "Extract every heading and link from https://example.com/docs as markdown"
- "Scrape the product name, price and rating from this URL into JSON"
- "Make an OG image for my blog post titled 'Shipping fast with Redis'"
- "Show this Python function as a pretty code card"
- "How many OtterSnap renders do I have left?"
Environment
| Var | Required | Description |
|---|---|---|
GLINT_API_KEY | yes | Your API key (get one free). OTTERSNAP_API_KEY is still accepted for compatibility. |
OTTERSNAP_API_URL | no | Override for self-hosting / testing |
License
MIT
Frequently asked questions
What is Ottersnap MCP?
Glint Render web rendering and evidence API: screenshots, PDFs, OG images, monitoring, extraction and tamper-evident evidence capture.
How do I install Ottersnap MCP?
Follow the installation steps in its documentation, shown on this page and in its repository.
Is Ottersnap MCP open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains Ottersnap MCP?
It is published by zzzjy765. AI.tn lists it but does not maintain or endorse it.
From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.