ParseRelay runs on your own machine — the client starts it, so there is no endpoint to ping. 74 installs a week from npm. Last commit 21 Jun 2026.
Parse a document into structured, confidence-scored fields. Bring your own model, pay per scan.
Today is the operative word: we check ParseRelay every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add mcp -- npx -y @parserelay/mcp
{
"mcpServers": {
"mcp": {
"args": [
"-y",
"@parserelay/mcp"
],
"command": "npx"
}
}
}
[mcp_servers.mcp]
command = "npx"
args = ["-y", "@parserelay/mcp"]
{
"mcpServers": {
"mcp": {
"args": [
"-y",
"@parserelay/mcp"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"mcp": {
"args": [
"-y",
"@parserelay/mcp"
],
"command": "npx"
}
}
}
This one needs environment variables set before it will start:
PARSERELAY_API_KEY (ParseRelay API key (prl_live_…). Required for stdio.), PARSERELAY_BASE_URL (API base URL. Defaults to https://api.parserelay.app; point at a local worker for testing.).
The author declared them in the registry entry; get the values from the project itself.
Turn any PDF into structured JSON via AI + OCR: invoices, bank statements, contracts.
Agent-native document parsing: PDF, scans and FR/EU invoices to structured JSON or Markdown.
High-fidelity PDF to structured Markdown conversion and document field extraction.
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Document extraction against a JSON Schema with a calibrated confidence per field; async job status.
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Convert PDFs and other documents to structured formats via Docling, for AI applications.
Answers built from our own checks of this server.