Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
Description from the maker (original English)
Extract structured JSON from PDFs, images, DOCX, XLSX, CSV, EML attachments, and DSPy pipelines.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
CLICHEFACTORY_API_KEY, CLICHEFACTORY_API_URL, LLM_MODEL_NAME, LLM_API_KEY, OCR_MODEL_NAME, OCR_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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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-mcpFill in the empty values before running it.
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.
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.
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CLICHEFACTORY_API_URL envLLM_MODEL_NAME envOCR_MODEL_NAME envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account ClicheFactory, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: CLICHEFACTORY_API_KEY, LLM_API_KEY, OCR_API_KEY
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).
The GitHub repo last changed –, and the latest version (0.1.8) reached the registry 6 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Agent-Native Google Calendar - manage events, sync, and public booking
Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
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.
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.
Service mode uses the ClicheFactory cloud for the best extraction quality. You only need one API key.
cliche-...). pip install clichefactory-mcp
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.
| 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 |
extractThe 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:
.json schema file{"type": "object", "properties": {"invoice_number": {"type": "string"}, "total": {"type": "number"}}})to_markdownConverts any supported document to markdown. Useful for inspecting document contents or feeding them to the LLM for analysis before deciding on an extraction schema.
doctorRuns diagnostics on the ClicheFactory setup — config file, API keys, Python dependencies, system binaries. Call this when things aren't working.
The server defaults to service mode (ClicheFactory cloud). Local mode is available for BYOK / air-gapped use.
pip install "clichefactory-mcp[local]" (~2 GB of parsing/OCR dependencies) plus system binaries (tesseract, LibreOffice). Quality depends on your local setup.pip install clichefactory-mcp
For local-mode extraction (BYOK, runs on your machine), install with the local extras:
pip install "clichefactory-mcp[local]"
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.
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"]
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" } } } }
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
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.
PDF, PNG, JPG, JPEG, WebP, GIF, BMP, DOCX, DOC, ODT, XLSX, CSV, EML, TXT, MD.
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. |
# Install in development mode
uv sync
uv run clichefactory-mcp
uv run mcp dev cliche_mcp/server.py
MIT — Copyright (c) 2026 Urban Susnik s.p.