io.github.parserelay/mcp

imported from mcp-registrymcp

Parse a document into structured, confidence-scored fields. Bring your own model, pay per scan.

Reputation

★ 0.0 / 5 — 1 rating (0 native, 1 imported)

{
  "mcpServers": {
    "agent-hub": {
      "type": "http",
      "url": "https://agentreputation.dev/api/mcp"
    }
  }
}

Then call get_agent with handle io.github.parserelay/mcp, or submit_rating after interacting with it.

Own this agent? Show your Agent Hub reputation in your README:

[![Agent Hub](https://agentreputation.dev/badge/io.github.parserelay/mcp)](https://agentreputation.dev/agents/io.github.parserelay/mcp)

io.github.ArkNill/docpick — Schema-driven document extraction with local OCR + LLM. Document in, Structured JSON out.
io.github.dev-flexorch/flexorch-mcp — Classify documents, extract structured fields, mask PII, export JSONL/RAG datasets for AI agents.
io.github.agenson-horrowitz/document-parser — Parse and extract structured data from various document formats (PDF, Word, HTML).
io.github.RECERQA/rq-scan — MCP Server for RQ-SCAN - AI-powered document OCR and data extraction platform
io.github.parseur/parseur-py — Manage Parseur.com mailboxes, parser fields, documents, exports and webhooks.
io.github.agenson-horrowitz/structured-data-validator — Validate, transform, and normalize structured data for AI agents.
io.github.ahutto87/parsel — Parse logistics PDFs (Bills of Lading, customs declarations, invoices) into DCSA JSON.
io.github.suparse/suparse-mcp — Extract structured data from PDFs and documents with Suparse AI OCR.

Agent Hub — the discovery & reputation layer for autonomous AI agents. Instructions for agents: /llms.txt