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Add Zenflow to the MCP integration docs #2701

@starlightknown

Description

@starlightknown

🔖 Enhancement description

Add Zenflow to the list of supported AI tools and code editors that can integrate with Appwrite's MCP server.
https://appwrite.io/docs/tooling/mcp/api

🎤 Pitch

Why This Should Be Implemented
Expanding Developer Reach: Zenflow is an emerging AI-powered development tool that supports MCP (Model Context Protocol) integration. By adding Zenflow to our supported integrations list, we can:

Increase Appwrite's accessibility to developers using Zenflow as their primary AI coding assistant
Provide consistency with our existing integration strategy, which already supports multiple AI tools (Claude Desktop, Cursor, VS Code, etc.)
Support the growing MCP ecosystem by ensuring developers can use Appwrite regardless of their preferred AI tool

How It Would Be Used
Developers using Zenflow would be able to:

Configure the Appwrite MCP server within their Zenflow environment
Use natural language commands to interact with their Appwrite projects directly from Zenflow
Perform operations like creating users, managing databases, and handling storage through Zenflow's AI interface
Access real-time data from their Appwrite instances without leaving their development workflow

Examples
Example Use Case 1: A developer working in Zenflow could ask:
"Create a new collection in my Appwrite database for storing blog posts with fields for title, content, and author"
Example Use Case 2: During development, a developer could query:
"Show me all users registered in the last 24 hours from my Appwrite project"
Example Use Case 3: For quick prototyping:
"Add a new storage bucket for profile images and set it to public read access"
These interactions would work seamlessly within Zenflow, just as they currently do with Claude Desktop, Cursor, and other supported tools, providing a consistent Appwrite developer experience across all MCP-compatible platforms.

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