This server connects MCP-compatible AI agents to the FlexOrch document intelligence platform, enabling end-to-end document processing, data extraction, and dataset export through natural language tool calls. It provides 6 tools:
document.process: Upload and process documents (PDF, DOCX, TXT, XLSX, HTML, XML, EML, JPG, PNG, TIFF) from a public URL — performs automatic classification, structured field extraction, PII detection/masking, and quality scoring.
job.status: Monitor asynchronous processing jobs (document processing or dataset builds) until they complete or fail.
job.result: Retrieve structured extraction results from a completed job, including document type, detected language, quality grade (A–D), PII summary, and extracted field values.
dataset.build: Package extracted records from a completed document execution into a named, structured dataset.
dataset.search: Search across indexed datasets using structured, semantic, or hybrid modes, with filtering by document type, language, and quality grade. Semantic/hybrid modes require a Pro+ plan.
dataset.export: Export a complete dataset as JSONL, CSV, JSON, Markdown, XML, or RAG chunks (LangChain/LlamaIndex compatible) for LLM fine-tuning or downstream use.
Allows OpenAI Codex to process documents, extract structured data, detect PII, and export datasets via MCP tools.
Click on "Install 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., "@flexorch-mcp Process the latest invoice PDF and extract vendor name and total amount."
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.
MCP server for FlexOrch — SDK for machines.
Connect Claude and other MCP-compatible agents to the FlexOrch document intelligence pipeline. Process documents, extract structured data, detect PII, and export LLM-ready datasets — all through natural language tool calls.
flexorch-mcp is a thin proxy that exposes the FlexOrch API as MCP tools. All processing happens on FlexOrch's managed infrastructure. A FlexOrch account and API key are required.
For humans writing code: use flexorch-sdk (Python) or flexorch-sdk-js (TypeScript).
For agents: use this package.
Related MCP server: @parserelay/mcp
Tool | Description |
| Upload and process a document (PDF, DOCX, TXT, XLSX, HTML, XML, EML, JPG, PNG, TIFF) |
| Poll a processing job until completed or failed |
| Get structured extracted fields from a completed job |
| Build a structured dataset from a completed execution |
| Semantic search across indexed datasets (Pro+) |
| Export a dataset as JSONL, CSV, JSON, XML, MD, or RAG (LangChain/LlamaIndex chunks) |
pip install flexorch-mcpRequires Python 3.10+.
Add to ~/.claude/claude_desktop_config.json:
{
"mcpServers": {
"flexorch": {
"command": "flexorch-mcp",
"env": {
"FLEXORCH_API_KEY": "dfx_your_key_here"
}
}
}
}Add to your Cursor MCP config:
{
"flexorch": {
"command": "flexorch-mcp",
"env": {
"FLEXORCH_API_KEY": "dfx_your_key_here"
}
}
}Add to ~/.codex/config.toml:
[mcp_servers.flexorch]
command = "uvx"
args = ["flexorch-mcp"]
[mcp_servers.flexorch.env]
FLEXORCH_API_KEY = "dfx_your_key_here"Get your API key from app.flexorch.com/settings.
flexorch-mcp --check
# → FlexOrch API key: dfx_xxx*** ✓
# → Connection: OK (api.flexorch.com)
# → Plan: Starter (1,200 credits/mo)
# → Tools: 6 registeredUser: "Process this invoice and export it as JSONL for fine-tuning."
Agent:
1. document.process(file_url="https://...") → job_id: 1234
2. job.status(1234) → completed, execution_id: 567
3. job.result(567) → vendor, total, date, PII masked
4. dataset.build(execution_id=567) → job_id: 1235
5. job.status(1235) → completed, dataset_id: 89
6. dataset.export(89, format="jsonl") → inline JSONL contentAll FlexOrch plan limits apply to MCP tool calls. Credits are consumed per document processed.
Plan | Credits/mo | Semantic search |
Trial | 1,200 (30 days) | — |
Starter | 1,200 | — |
Pro | 6,000 | ✓ |
Enterprise | Custom | ✓ |
API key is read from the FLEXORCH_API_KEY environment variable — never passed as a tool argument
No data is stored or cached by this server — stateless proxy
PII masking is applied by FlexOrch's pipeline before results are returned
All communication with api.flexorch.com uses HTTPS
flexorch-audit — Standalone PII detection and document quality scoring (no account required)
flexorch-sdk — Python SDK for developers
flexorch-sdk-js — TypeScript SDK for developers
docs.flexorch.com — Full documentation
MIT — see LICENSE.
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If you are the server author, to access and configure the admin panel.
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