document-intelligence-server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@document-intelligence-serversummarize the quarterly report.pdf"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
document-intelligence-server - MCP Server
MCP server for intelligent document processing — extract text, classify, and summarize PDFs, images, and documents using vision LLMs.
Tools
extract_document
Extract text from a PDF or image file using OCR.
path(string, required): Path to the document file
classify_document
Classify a document by type (invoice, report, contract, etc.).
path(string, required): Path to the document file
summarize_document
Generate a structured summary from a document.
path(string, required): Path to the document file
Related MCP server: Nutrient Document Engine MCP Server
Quick Start (local)
pip install -r requirements.txt
export MCP_BILLING_API=https://mcp-billing-api.onrender.com
uvicorn server:starlette_app --host 0.0.0.0 --port 8000Usage with Claude Desktop / MCP clients
{
"mcpServers": {
"document-intelligence-server": {
"url": "https://mcp-doc-intel.onrender.com/"
}
}
}Deployed endpoint
https://mcp-doc-intel.onrender.com/ — Streamable HTTP transport at root path. Health check at /health.
Environment Variables
Variable | Required | Description |
| Yes | Billing API endpoint |
| Yes | License key for billing |
| No | Secret for AgenticMarket authentication |
License
MIT
This server cannot be deployed
Maintenance
Related MCP Connectors
Turn documents into structured, AI-ready data by parsing, enriching, chunking, and embedding.
OCR and document understanding: extract text from images, then summarize or translate it.
Turn any PDF into structured JSON via AI + OCR: invoices, bank statements, contracts.
- DatanemOAuthcom.datanem
Turn PDFs, scans and photos into a queryable database. Invoices, CVs, receipts, in bulk.
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