Kash.click▌
by paracetamol951
Kash.click — Intégration complète avec le POS français pour gérer ventes, catalogue produits, clients et paramètres bout
Integrates with the Kash.click French point-of-sale system to create sales transactions, manage product catalogs and customer data, and configure shop settings including departments, payment methods, and delivery options.
github stars
★ 1
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / French retail businesses using Kash.click POS
- / Store owners wanting voice-controlled cash register operations
- / Businesses needing AI-powered sales reporting
capabilities
- / Create and record sales receipts
- / Manage product catalogs and inventory
- / View sales data and revenue reports
- / Configure shop settings and departments
- / Manage customer information
- / Set up payment methods and delivery options
what it does
Connects AI assistants like ChatGPT and Claude to the Kash.click French point-of-sale system. Create sales transactions, manage inventory, and get business reports through conversational commands.
about
Kash.click is a community-built MCP server published by paracetamol951 that provides AI assistants with tools and capabilities via the Model Context Protocol. Kash.click — Intégration complète avec le POS français pour gérer ventes, catalogue produits, clients et paramètres bout It is categorized under developer tools.
how to install
You can install Kash.click in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
license
GPL-3.0
Kash.click is released under the GPL-3.0 license.
readme
🧾 Kash MCP Server
Kash MCP Server is a server compliant with the MCP (Model Context Protocol), allowing ChatGPT, Claude, and other MCP-compatible clients to connect to a sales recorder system (or POS, cash register).
It provides a simple interface to:
- 📊 View sales and revenue
- 🧾 Create and record receipts
- 🛒 Manage products and stock
- 🧠 Generate automated reports through conversational requests
🟢 Live Server: https://mcp.kash.click
Connect your cash register to ChatGPT, Claude, or n8n — and manage your business simply by talking.

Imagine your cash register understanding your sentences, executing your commands, and analyzing your reports — without a single click.
With this intelligent gateway, the free-cash-register.net software becomes compatible with ChatGPT, Claude, and n8n, transforming your interactions into concrete actions.
Just say “record an order for two coffees at table 4” or “show me the invoice for order 125” — and it’s done.
You can also ask “what’s my revenue for this week?” or “who are my best customers on Tuesdays?”.
Your favorite assistant communicates directly with your cash register and responds instantly.
This is a new way to run your business: smoother, faster, and incredibly natural.
Your voice becomes your interface, and your assistant becomes your new coworker.
This project exposes the kash.click API as Model Context Protocol (MCP) tools, available over HTTP (Streamable) and/or STDIO.
🚀 Features
- Sales:
sale_createwith support for catalog and free lines. - Orders : get the order list in the specified date range
- Data (lists): products, departments, department groups, clients, variations, deliveries, payment methods, cashboxes, delivery zones, relay points, discounts, users…
🔹 Example usage (ChatGPT / Claude MCP)
- 💬 “Show me today’s sales”
- 💬 “Record a sale of 2 coffees and 1 croissant at table 84”
- 💬 “Ten red roses to deliver to Mrs. Dupond at 6:15 PM!”
- 💬 “Generate a cash register report for the week”
- 💬 “Have takeaway sales increased this year?”
- 💬 “Did customer Dupont pay for their order?”
⚙Prerequisities
You need to have a free-cash-register.net account.
If you don't have one, you can register at :
https://kash.click/free-pos-software/ChatGPT
Then in the software, you have to get your APIKEY and SHOPID in Setup, Webservices page.
⚙️ Installation
Claude
Minimum installation
Edit the file claude_desktop_config.json in your Claude Desktop configuration directory:
Windows
%APPDATA%\Claude\claude_desktop_config.json
Mac OS
~/Library/Application Support/Claude/claude_desktop_config.json
Provide the following content after replacing your SHOPID and APIKEY.
{
"mcpServers": {
"caisse": {
"command": "npx",
"args": [
"caisse-enregistreuse-mcp-server",
"--shopid=[replaceWithYourSHOPID]",
"--apikey=[replaceWithYourAPIKEY]"
]
}
}
}
Install via npx
Create an installation folder and run the following command in your shell:
npx caisse-enregistreuse-mcp-server --shopid=12345 --apikey=abcdef123456
Install via npm
# 1) Dependencies
npm install
# 2) Environment variables (see below)
# 3) Build
npm run build
Configuration
The binary/runner launches src/stdio.ts and communicates via MCP stdin/stdout.
Edit the file claude_desktop_config.json in your Claude Desktop configuration directory
Customize the installation path and set your SHOPID and APIKEY (retrieve them from https://kash.click):
{
"mcpServers": {
"caisse": {
"command": "node",
"args": [
"{{PATH_TO_SRC}}/build/stdio.js"
],
"cwd": "{{PATH_TO_SRC}}",
"env": {
"SHOPID": "16",
"APIKEY": "XXXXXXXX"
}
}
}
}
ChatGPT
Requires a workspace account
In Settings → Connectors → Create Connector, fill in the following:
| Variable | Value |
|---|---|
Name | Kash POS |
Description | Can record sales from your catalog and retrieve your sales reports. POS software integration. |
MCP Server URL | https://mcp.kash.click/mcp |
Authentication | oAuth |
Once added, the connector will be available in new conversations.
Environment variables
| Variable | Default | Description |
|---|---|---|
APIKEY | ---- | Required: your API key |
SHOPID | ---- | Required: your shop ID |
Create a .env file:
APIKEY=XXXXXXXXXXXXXX
SHOPID=XXX
▶️ Launch
HTTP Mode (Streamable MCP)
The HTTP mode requires a Redis server.
It is recommended to use the hosted MCP HTTP/WebSocket server available at https://mcp.kash.click:
- POST
https://mcp.kash.click/mcpwith a JSON-RPC MCP message - GET
https://mcp.kash.click/health→{ "status": "ok" } - GET
https://mcp.kash.click/.well-known/mcp/manifest.json→ MCP manifest
🧪 Available MCP Tools (excerpt)
sale_create
Creates a sale.
Input (Zod schema, main fields):
shopId: string,apiKey: stringpayment: numberdeliveryMethod: 0|1|2|3|4|5|6idUser?: number | stringidClient?: number | stringidtable?: number | stringidcaisse?: number | stringnumcouverts?: number | stringpublicComment?: stringprivateComment?: stringpagerNum?: number | stringclient?: {{ firstname?, lastname?, email?, phone?, address?, zip?, city?, country? }}- `items: Array<
{{ type:'catalog', productId?, quantity?, titleOverride?, priceOverride?, declinaisons? }}
| {{ type:'dept', departmentId?, price?, title? }}
| {{ type:'free', price?, title? }}
`
Legacy item encoding:
- Catalog:
productId_quantity_titleOverride_priceOverride_[...declinaisons] - Department sale:
-<departmentId>_<price>_<title> - Free line:
Free_<price>_<title>→ Sent asitemsList[].
data_list_* (examples)
data_list_productsdata_list_departmentsdata_list_department_groupsdata_list_clientsdata_list_variationsdata_list_delivery_mendata_list_paymentsdata_list_cashboxesdata_list_delivery_zonesdata_list_relay_pointsdata_list_discountsdata_list_usersdata_list_tables
All accept: {{ format=('json'|'csv'|'html') }}.
💻 Compatible Clients
- ChatGPT (OpenAI) — via external MCP configuration
- Claude (Anthropic) — via “Tools manifest URL”
- n8n / Flowise / LangChain — import via public URL
🧩 MCP Manifest Endpoint
The MCP API exposes a JSON manifest describing all available tools for compatible clients (ChatGPT, Claude, n8n, etc.).
Public manifest URL
https://mcp.kash.click/.well-known/mcp/manifest.json
🗂️ This URL is the one to provide to your MCP client when configuring the server.
📋 License
© 2025. GNU GENERAL PUBLIC LICENSE
FAQ
- What is the Kash.click MCP server?
- Kash.click is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Kash.click?
- This profile displays 56 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.5★★★★★56 reviews- ★★★★★Aarav Ndlovu· Dec 28, 2024
I recommend Kash.click for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Pratham Ware· Dec 20, 2024
Strong directory entry: Kash.click surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Ren Menon· Dec 20, 2024
I recommend Kash.click for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Ira Perez· Dec 12, 2024
Kash.click has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Jin Mehta· Dec 12, 2024
We evaluated Kash.click against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Henry Robinson· Nov 19, 2024
According to our notes, Kash.click benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Sakshi Patil· Nov 11, 2024
Kash.click has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Ira Rao· Nov 11, 2024
According to our notes, Kash.click benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Ira Patel· Nov 3, 2024
Strong directory entry: Kash.click surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Amelia Shah· Nov 3, 2024
We wired Kash.click into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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