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Classify documents, extract structured fields, mask PII, export JSONL/RAG datasets for AI agents.
About
Classify documents, extract structured fields, mask PII, export JSONL/RAG datasets for AI agents.
Security Report
flexorch-mcp is a well-structured MCP server that safely proxies FlexOrch's document processing API. Authentication via environment variable is properly implemented, permissions are appropriate for the stated purpose (network calls to a managed API), and code quality is high with strong input validation and error handling. Minor code quality observations exist but do not affect security posture. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
7 files analyzed · 8 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: FLEXORCH_API_KEY
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-dev-flexorch-flexorch-mcp": {
"env": {
"FLEXORCH_API_KEY": "your-flexorch-api-key-here"
},
"args": [
"flexorch-mcp"
],
"command": "uvx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
flexorch-mcp
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.
What this is
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.
Tools
| Tool | Description |
|---|---|
document.process | Upload and process a document (PDF, DOCX, TXT, XLSX, HTML, XML, EML, JPG, PNG, TIFF) |
job.status | Poll a processing job until completed or failed |
job.result | Get structured extracted fields from a completed job |
dataset.build | Build a structured dataset from a completed execution |
dataset.search | Semantic search across indexed datasets (Pro+) |
dataset.export | Export a dataset as JSONL, CSV, JSON, XML, MD, or RAG (LangChain/LlamaIndex chunks) |
dataset.index | Trigger semantic vector indexing for a dataset (Pro+) |
dataset.chunks | Retrieve paginated RAG-ready text chunks from an indexed dataset (Pro+) |
Installation
pip install flexorch-mcp
Requires Python 3.10+.
Configuration
Claude Desktop
Add to ~/.claude/claude_desktop_config.json:
{
"mcpServers": {
"flexorch": {
"command": "flexorch-mcp",
"env": {
"FLEXORCH_API_KEY": "dfx_your_key_here"
}
}
}
}
Cursor
Add to your Cursor MCP config:
{
"flexorch": {
"command": "flexorch-mcp",
"env": {
"FLEXORCH_API_KEY": "dfx_your_key_here"
}
}
}
OpenAI Codex
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.
Verify connection
flexorch-mcp --check
# → FlexOrch API key: dfx_xxx*** ✓
# → Connection: OK (api.flexorch.com)
# → Plan: Starter (1,200 credits/mo)
# → Tools: 8 registered
Example agent workflow
User: "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 content
Plan limits
All 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 | ✓ |
Security
- API key is read from the
FLEXORCH_API_KEYenvironment 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.comuses HTTPS
Related
- 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
License
MIT — see LICENSE.
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