INDIVIDUAL MCP TOOL
render_pdf
Render a public web page or an inline HTML snippet to a paginated PDF document, using a real headless browser (JS, CSS, and web fonts execute).
LIVE ENDPOINT
https://render.skillforge99.com/mcp
Connect to this endpoint to inspect the live schema for render_pdf and invoke it with your own arguments.
Indexed input schema
{}Risk classification
Potential side effects detected · medium confidence · heuristic, not a guarantee.
- A tool name or description suggests code or command execution.
Parent server
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.skillforge-render]
url = "https://render.skillforge99.com/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"skillforge-render": {
"type": "http",
"url": "https://render.skillforge99.com/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: skillforge-render
Remote MCP URL: https://render.skillforge99.com/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"skillforge-render": {
"url": "https://render.skillforge99.com/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"skillforge-render": {
"type": "http",
"url": "https://render.skillforge99.com/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "skillforge-render",
"transport": "streamable-http",
"url": "https://render.skillforge99.com/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
screenshot_url— Capture a screenshot image of a public web page or an inline HTML snippet, rendered in a real headless browser (JS, CSS, and web fonts execute).render_og— Render an inline HTML snippet to a social-share (Open Graph) image sized for link previews, defaulting to the standard 1200x630 OG dimensions.extract_page— Fetch a public web page and extract its content as either clean, readable markdown (the default) or as structured JSON fields matched against a caller-supplied schema.