FlexOrch MCP
About
FlexOrch MCP converts unstructured documents (PDF, DOCX, invoices, contracts, payroll) into structured, LLM-ready datasets via 6 async tools. Covers the full pipeline: classify → extract fields → mask PII → export JSONL or RAG chunks, with PII detection across 10+ locales (TR, DE
Details
- Transport
- SSE
Explore
- Submit a document URL and receive a job ID.
- Poll job status with poll_job.
- Get document classification and quality scores.
- Extract structured fields from documents.
- Detect and mask PII in 10+ locales.
- Export results as JSONL or RAG chunks.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
FlexOrch MCPCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
```bash
pip install flexorch-mcp
Configuration
{
"mcpServers": {
"flexorch": {
"command": "flexorch-mcp",
"env": { "FLEXORCH_API_KEY": "<YOUR_API_KEY>" }
}
}
}
Get your API key at app.flexorch.com.
process_document
Submit a document URL, get a job ID
poll_job
Check processing status
get_document_info
Classification + quality score
extract_fields
Structured field extraction
mask_pii
PII detection and masking (10+ locales)
export_dataset
JSONL / RAG chunks export
| Tool | What it does |
|------|-------------|
| process_document | Submit a document URL, get a job ID |
| poll_job | Check processing status |
| get_document_info | Classification + quality score |
| extract_fields | Structured field extraction |
| mask_pii | PII detection and masking (10+ locales) |
| export_dataset | JSONL / RAG chunks export |
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"flexorch mcp": {
"flexorch": {
"command": "flexorch-mcp",
"env": {
"FLEXORCH_API_KEY": "<YOUR_API_KEY>"
}
}
}
}
}McpServers
{
"flexorch": {
"command": "flexorch-mcp",
"env": {
"FLEXORCH_API_KEY": "<YOUR_API_KEY>"
}
}
}What is FlexOrch MCP?
FlexOrch gives AI agents a native way to process business documents end-to-end — no custom parsing code needed.Sign in to leave a review
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