A Model Context Protocol (MCP) server implementation that integrates with Veryfi for data extraction from documents
MCP Server for Veryfi Document Processing is an MCP project maintained in the veryfi/mcp-server repository. The maintainer describes its purpose as “A Model Context Protocol (MCP) server implementation that integrates with Veryfi for data extraction from documents”. Read the project documentation for the complete scope.
The project provides a local client configuration using uv. Follow the repository’s build and installation steps before copying it, and replace example paths with the paths on your own computer.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
{
"mcpServers": {
"veryfi": {
"command": "uv",
"args": [
"--directory",
"path/to/mcp-server",
"run",
"src/server.py"
],
"env": {}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Search and read your Drive — Docs, Sheets and files become context your assistant can actually use.
EU-hosted AI platform: OpenAI-compatible LLM gateway, document extraction, transcription, agents.
Paid AI utilities for web comparison, code checks, document extraction, security, and research.
Browse, generate and import Abyssale designs — banners, video, PDF — from your AI client.
MCP server with tools to search, fetch, analyze, and report on scientific papers and datasets.
Autonomous WCAG 2.1 accessibility auditor that scans, fixes, re-verifies, and generates VPAT 2.5 EN 301 549 reports using AI vision analysis + DOM scanning.