FlexOrch

Name: FlexOrch
Author: flexorch

by flexorchversion 0.1.2i★ –iRuns on your computer

Registry nameio.github.dev-flexorch/flexorch-mcp

Install

Overview

Description from the maker (original English)

Classify documents, extract structured fields, mask PII, export JSONL/RAG datasets for AI agents.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi0 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory
You need to fill in: FLEXORCH_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 0 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: FLEXORCH_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "flexorch": {
      "command": "uvx",
      "args": [
        "flexorch-mcp"
      ],
      "env": {
        "FLEXORCH_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add flexorch --env FLEXORCH_API_KEY=your-value -- uvx flexorch-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "flexorch": {
      "command": "uvx",
      "args": [
        "flexorch-mcp"
      ],
      "env": {
        "FLEXORCH_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "flexorch": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "flexorch-mcp"
      ],
      "env": {
        "FLEXORCH_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

FLEXORCH_API_KEY secret required env
FlexOrch API key — get one at app.flexorch.com/settings

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

! Caution
Maker matches the repo
The publisher (dev-flexorch) is not the repo owner (flexorch); someone else may have listed it
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7247 servers in this category
Published to the registry more recently than 18% of the other 7247 servers in this category
Basic checks equal to or better than 34% of the other 7247 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is FlexOrch safe?

It passed 0 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: FLEXORCH_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.2) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today

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Codebase Memory

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Runs on your computer★ 48,148MITUpdated 20 days ago

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Exa

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Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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)
`document.reprocess`	Re-queue an already-uploaded document through the pipeline
`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 your Claude Desktop config file (create it if it doesn't exist):

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\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: 9 registered

Example agent workflow

User: "Process this invoice and export it as JSONL for fine-tuning."

Agent:

document.process(file_url="https://...") → job_id: 1234
job.status(1234) → completed, execution_id: 567
job.result(567) → vendor, total, date, PII masked
dataset.build(execution_id=567) → job_id: 1235
job.status(1235) → completed, dataset_id: 89
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_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

License

MIT — see LICENSE.

FlexOrch

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

flexorch-mcp

What this is

Tools

Installation

Configuration

Claude Desktop

Cursor

OpenAI Codex

Verify connection

→ FlexOrch API key: dfx_xxx*** ✓

→ Connection: OK (api.flexorch.com)

→ Plan: Starter (1,200 credits/mo)

→ Tools: 9 registered

Example agent workflow

Plan limits

Security

Related

License