Server data from the Official MCP Registry
URL to screenshot, PDF, or structured extract for AI agents via MCP.
About
URL to screenshot, PDF, or structured extract for AI agents via MCP.
Security Report
This MCP server is well-structured with appropriate authentication, proper credential handling, and scoped permissions that match its purpose. The server calls a third-party API (AgentRender) to render URLs into screenshots, PDFs, and structured extracts. All API keys are sourced from environment variables with no hardcoded secrets, and the code handles errors reasonably. Minor code quality observations exist but do not constitute security concerns. Supply chain analysis found 5 known vulnerabilities in dependencies (0 critical, 5 high severity). Package verification found 1 issue.
4 files analyzed · 9 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: AGENTRENDER_API_KEY
Environment variable: AGENTRENDER_BASE_URL
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-corbinvachal48-agentrender-mcp": {
"env": {
"AGENTRENDER_API_KEY": "your-agentrender-api-key-here",
"AGENTRENDER_BASE_URL": "your-agentrender-base-url-here"
},
"args": [
"agentrender-mcp"
],
"command": "uvx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
AgentRender MCP
URL → screenshot, PDF, or structured extract for AI agents via MCP (stdio) + REST.
Tools: screenshot · pdf · extract
Install
pip install agentrender-mcp
# or from this repo:
pip install .
Requires an AgentRender API key (akr_…) from https://agentrenderapi.com (free waitlist path or paid Starter $17 / Growth $79 / Scale $259).
Environment
| Variable | Default | Purpose |
|---|---|---|
AGENTRENDER_API_KEY | (required) | Bearer API key |
AGENTRENDER_BASE_URL | https://api.agentrenderapi.com | API base |
Run (stdio)
export AGENTRENDER_API_KEY=akr_your_key
agentrender-mcp
# or: python -m agentrender_mcp.server
Cursor / Claude Desktop
{
"mcpServers": {
"agentrender": {
"command": "agentrender-mcp",
"env": {
"AGENTRENDER_API_KEY": "akr_your_key",
"AGENTRENDER_BASE_URL": "https://api.agentrenderapi.com"
}
}
}
}
If agentrender-mcp is not on PATH, use your Python:
{
"mcpServers": {
"agentrender": {
"command": "python",
"args": ["-m", "agentrender_mcp.server"],
"env": {
"AGENTRENDER_API_KEY": "akr_your_key"
}
}
}
}
Tools
| Tool | Maps to | Notes |
|---|---|---|
screenshot | POST /v1/screenshot | PNG/JPEG/WebP; returns image_base64 + receipt |
pdf | POST /v1/pdf | Returns pdf_base64 + receipt |
extract | POST /v1/extract | Title, meta, canonical, text, links (non-LLM) |
REST smoke
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
- Hosted Streamable HTTP MCP is not shipped in this package yet; use stdio as above.
- Do not commit API keys. Rotate any key that leaks.
- Support: hello@agentrenderapi.com
License
MIT
Reviews
No reviews yet
Be the first to review this server!
More Developer Tools MCP Servers
Paperclip
Freeby Paperclipai · Developer Tools
Trending hip-hop artist momentum scores across four cultural dimensions.
Git
Freeby Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
Toleno
Freeby Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
mcp-creator-python
Freeby mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.
MCP Marketplace
Freeby mcp-marketplace · Developer Tools
Search and install MCP servers from inside your AI client.
MarkItDown
Freeby Microsoft · Content & Media
Convert files (PDF, Word, Excel, images, audio) to Markdown for LLM consumption