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ClicheFactory Document Intelligence

by ClicheFactoryversion 0.1.8i★ –iRuns on your computer
Registry nameio.github.ClicheFactory/clichefactory-mcp

Install

Overview

Description from the maker (original English)

Extract structured JSON from PDFs, images, DOCX, XLSX, CSV, EML attachments, and DSPy pipelines.

PopNx MCP’s three pillars

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

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: Docs, sheets & office work
  • You need to fill in: CLICHEFACTORY_API_KEY, LLM_API_KEY, OCR_API_KEY

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: CLICHEFACTORY_API_KEY, CLICHEFACTORY_API_URL, LLM_MODEL_NAME, LLM_API_KEY, OCR_MODEL_NAME, OCR_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?

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": {
    "clichefactory": {
      "command": "uvx",
      "args": [
        "clichefactory-mcp"
      ],
      "env": {
        "CLICHEFACTORY_API_KEY": "your-value",
        "CLICHEFACTORY_API_URL": "your-value",
        "LLM_MODEL_NAME": "your-value",
        "LLM_API_KEY": "your-value",
        "OCR_MODEL_NAME": "your-value",
        "OCR_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add clichefactory --env CLICHEFACTORY_API_KEY=your-value --env CLICHEFACTORY_API_URL=your-value --env LLM_MODEL_NAME=your-value --env LLM_API_KEY=your-value --env OCR_MODEL_NAME=your-value --env OCR_API_KEY=your-value -- uvx clichefactory-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": {
    "clichefactory": {
      "command": "uvx",
      "args": [
        "clichefactory-mcp"
      ],
      "env": {
        "CLICHEFACTORY_API_KEY": "your-value",
        "CLICHEFACTORY_API_URL": "your-value",
        "LLM_MODEL_NAME": "your-value",
        "LLM_API_KEY": "your-value",
        "OCR_MODEL_NAME": "your-value",
        "OCR_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": {
    "clichefactory": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "clichefactory-mcp"
      ],
      "env": {
        "CLICHEFACTORY_API_KEY": "your-value",
        "CLICHEFACTORY_API_URL": "your-value",
        "LLM_MODEL_NAME": "your-value",
        "LLM_API_KEY": "your-value",
        "OCR_MODEL_NAME": "your-value",
        "OCR_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

  • CLICHEFACTORY_API_KEY secret env
    ClicheFactory API key for service mode.
  • CLICHEFACTORY_API_URL env
    Optional ClicheFactory API base URL override.
  • LLM_MODEL_NAME env
    Model name for local mode, for example gemini/gemini-3-flash-preview.
  • LLM_API_KEY secret env
    LLM provider API key for local mode.
  • OCR_MODEL_NAME env
    Optional OCR/VLM model override.
  • OCR_API_KEY secret env
    Optional OCR/VLM provider API key.

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account ClicheFactory, which owns the repo

  • … 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 Docs, sheets & office worki

  • More stars than 0% of the other 2183 servers in this category
  • Published to the registry more recently than 10% of the other 2183 servers in this category
  • Basic checks equal to or better than 100% of the other 2183 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 ClicheFactory Document Intelligence safe?

It passed 1 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: CLICHEFACTORY_API_KEY, LLM_API_KEY, OCR_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 (0.1.8) reached the registry 6 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: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

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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.

clichefactory-mcp

MCP (Model Context Protocol) server for ClicheFactory — structured data extraction from documents.

This server exposes ClicheFactory's extraction and document conversion capabilities as MCP tools, allowing AI assistants in Cursor, Claude Desktop, OpenClaw, and other MCP-compatible clients to extract structured data from PDFs, images, DOCX, XLSX, CSV, EML, and more.

Quick start (recommended — service mode)

Service mode uses the ClicheFactory cloud for the best extraction quality. You only need one API key.

  1. Sign up at clichefactory.com — free pages included, no credit card required.
  2. Create an API key in Settings → API Keys (format: cliche-...).
  3. Install the MCP server:
   pip install clichefactory-mcp
  1. Configure — either paste the key into your MCP client (see below) or run once in a terminal:
   pip install clichefactory   # if you don't have the CLI yet

clichefactory configure

The interactive wizard saves credentials to ~/.clichefactory/config.toml, which the MCP server reads automatically.

That's it — one env var (CLICHEFACTORY_API_KEY) or a config file, and you're on hosted extraction.

Tools

ToolDescription
extractExtract structured JSON from a document using a schema
to_markdownConvert a document to markdown text
doctorCheck configuration, dependencies, and system binaries
extract

The main tool. Pass a document file and a JSON schema — get structured data back.

Supports all extraction modes:

ModeDescriptionRequires
*(default)*OCR + LLM extractionService API key (recommended)
fastFastest pipelineService API key
trainedTrained pipeline artifactService + artifact_id
robustTwo-stage extract + verifyService only
robust-trainedTrained extract + verificationService + artifact_id

The schema can be provided as:

  • File path: absolute path to a .json schema file
  • Inline dict: the LLM constructs a JSON schema from the conversation (e.g., the user says *"extract the invoice number and total"* and the LLM builds {"type": "object", "properties": {"invoice_number": {"type": "string"}, "total": {"type": "number"}}})
to_markdown

Converts any supported document to markdown. Useful for inspecting document contents or feeding them to the LLM for analysis before deciding on an extraction schema.

doctor

Runs diagnostics on the ClicheFactory setup — config file, API keys, Python dependencies, system binaries. Call this when things aren't working.

Execution Modes

The server defaults to service mode (ClicheFactory cloud). Local mode is available for BYOK / air-gapped use.

  • `service` *(recommended)* — Uses the ClicheFactory cloud service. Requires a ClicheFactory API key. Supports all extraction modes including trained pipelines and robust verification. Best extraction quality out of the box.
  • `local` *(advanced)* — Runs extraction on your machine. You bring your own LLM key (BYOK). Requires pip install "clichefactory-mcp[local]" (~2 GB of parsing/OCR dependencies) plus system binaries (tesseract, LibreOffice). Quality depends on your local setup.

Installation

Prerequisites
  • Python ≥ 3.12
  • uv (recommended) or pip
From PyPI
pip install clichefactory-mcp

For local-mode extraction (BYOK, runs on your machine), install with the local extras:

pip install "clichefactory-mcp[local]"

Configuration

Environment Variables

Set these in your MCP client configuration (see below) or in ~/.clichefactory/config.toml via clichefactory configure.

VariableRequiredDescription
CLICHEFACTORY_API_KEYYes (service mode)ClicheFactory API key from Settings → API Keys (cliche-...)
CLICHEFACTORY_API_URLNoOverride the default service URL (https://api.clichefactory.com); useful for local development against a self-hosted ClicheFactory backend
LLM_MODEL_NAMELocal mode onlyModel name, e.g. gemini/gemini-3-flash-preview
LLM_API_KEYLocal mode onlyAPI key for the LLM provider
OCR_MODEL_NAMENoSeparate OCR/VLM model (defaults to main model)
OCR_API_KEYNoAPI key for OCR model (defaults to main key)

Environment variables take precedence over the config file at ~/.clichefactory/config.toml.

Cursor

Add to .cursor/mcp.json in your project (or global Cursor settings):

{

"mcpServers": { "clichefactory": { "command": "uvx", "args": ["clichefactory-mcp"], "env": { "CLICHEFACTORY_API_KEY": "cliche-your-key-here" } } } }

For local development from a git checkout, replace uvx with:

"command": "uv",

"args": ["--directory", "/absolute/path/to/cliche-mcp", "run", "clichefactory-mcp"]

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{

"mcpServers": { "clichefactory": { "command": "uvx", "args": ["clichefactory-mcp"], "env": { "CLICHEFACTORY_API_KEY": "cliche-your-key-here" } } } }

OpenClaw

Register the MCP server with your OpenClaw agent:

openclaw mcp set clichefactory '{"command":"uvx","args":["clichefactory-mcp"],"env":{"CLICHEFACTORY_API_KEY":"cliche-your-key-here"}}'

Verify with openclaw mcp list. The agent can now use extract, to_markdown, and doctor tools in any conversation.

An OpenClaw skill with agent instructions is also available in integrations/openclaw/. To install it into your workspace:

cp -r /path/to/cliche-mcp/integrations/openclaw ~/.openclaw/skills/clichefactory

Or, once published to ClawHub:

openclaw skills install clichefactory
Local mode (advanced)

If you prefer BYOK extraction on your machine, install the local extras and set LLM credentials:

{

"mcpServers": { "clichefactory": { "command": "uvx", "args": ["clichefactory-mcp"], "env": { "LLM_MODEL_NAME": "gemini/gemini-3-flash-preview", "LLM_API_KEY": "your-gemini-api-key" } } } }

Pass mode="local" explicitly in tool calls, or run clichefactory configure --local to set local as the default in ~/.clichefactory/config.toml.

Supported File Types

PDF, PNG, JPG, JPEG, WebP, GIF, BMP, DOCX, DOC, ODT, XLSX, CSV, EML, TXT, MD.

Differences from the CLI

This MCP server covers the core extraction and conversion workflows. The following CLI features are not included in v1:

FeatureReason
Batch operations (extract-batch, to-markdown-batch)MCP tools are typically called one-at-a-time by the LLM. For multiple documents, the LLM calls extract in sequence. Batch support may be added in a future version.
configureInteractive prompts don't work in MCP. Use env vars or run clichefactory configure in a terminal.
--output / -o flagMCP tools return results directly to the LLM rather than writing to files.
allow_partialNot exposed as a tool parameter in v1.
OCR engine selectionUses the SDK defaults (RapidOCR). Configure via ~/.clichefactory/config.toml or pass parsing options through the SDK if needed.

Development

# Install in development mode

uv sync

Run the server directly (stdio transport, for testing with MCP clients)

uv run clichefactory-mcp

Inspect available tools (requires mcp CLI)

uv run mcp dev cliche_mcp/server.py

License

MIT — Copyright (c) 2026 Urban Susnik s.p.

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