Kash.click
by paracetamol951
Kash.click — Intégration complète avec le POS français pour gérer ventes, catalogue produits, clients et paramètres bout
★ 1
GitHub stars
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
Frequently Asked Questions
- 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
Discussion
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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