Content Tools
md2pdf.studio
Convert markdown to styled documents, export as PDF/HTML/image, and share via URL.
ENDPOINT 1
https://md2pdf.studio
MCP server metadata
- Name
- WebMCP
Known tools 3
convert-markdownConvert markdown text to a styled document. Paste markdown content, optionally choose a visual style, then submit to render. Use the export tools to download as PDF, HTML, or image.
Inferred read-onlyexport-documentExport the current markdown document to a file. Choose the format: pdf (styled continuous page), html (standalone file with styles inlined), or image (PNG screenshot).
Inferred read-onlyshare-documentGenerate a shareable URL for the current markdown document. The URL contains the compressed content — no server needed. Copy and share the returned link.
Inferred read-onlyCONNECT 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.webmcp]
url = "https://md2pdf.studio"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"webmcp": {
"type": "http",
"url": "https://md2pdf.studio"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: webmcp
Remote MCP URL: https://md2pdf.studio
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": {
"webmcp": {
"url": "https://md2pdf.studio"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"webmcp": {
"type": "http",
"url": "https://md2pdf.studio"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "webmcp",
"transport": "streamable-http",
"url": "https://md2pdf.studio"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.