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
   

4. 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

Tool	Description
extract	Extract structured JSON from a document using a schema
to_markdown	Convert a document to markdown text
doctor	Check 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:

Mode	Description	Requires
(default)	OCR + LLM extraction	Service API key (recommended)
fast	Fastest pipeline	Service API key
trained	Trained pipeline artifact	Service + artifact_id
robust	Two-stage extract + verify	Service only
robust-trained	Trained extract + verification	Service + 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.

Variable	Required	Description
CLICHEFACTORY_API_KEY	Yes (service mode)	ClicheFactory API key from Settings → API Keys (cliche-...)
CLICHEFACTORY_API_URL	No	Override the default service URL (https://api.clichefactory.com); useful for local development against a self-hosted ClicheFactory backend
LLM_MODEL_NAME	Local mode only	Model name, e.g. gemini/gemini-3-flash-preview
LLM_API_KEY	Local mode only	API key for the LLM provider
OCR_MODEL_NAME	No	Separate OCR/VLM model (defaults to main model)
OCR_API_KEY	No	API 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:

Feature	Reason
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.
configure	Interactive prompts don't work in MCP. Use env vars or run clichefactory configure in a terminal.
--output / -o flag	MCP tools return results directly to the LLM rather than writing to files.
allow_partial	Not exposed as a tool parameter in v1.
OCR engine selection	Uses 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.