How do I list all users in my Appwrite project?

Use the `list_users` tool. It retrieves a comprehensive list of all registered users, allowing you to audit account statuses and registration activity.

Can I see the data within a specific collection?

Yes! Use the `list_documents` tool by providing the Database ID and Collection ID. Your agent will fetch the documents stored in that collection for auditing and analysis.

How do I check if my Appwrite services are running correctly?

Use the `get_health_status` tool. It provides a real-time overview of the health of various system components, ensuring your infrastructure is operational.

Appwrite MCP Server for Pydantic AI 9 tools — connect in under 2 minutes

Name: Appwrite
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 9 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Appwrite through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Appwrite "
            "(9 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Appwrite?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Appwrite MCP Server

Empower your AI agent to orchestrate your entire backend infrastructure with Appwrite. This unified server provides your agent with instant access to database management, user authentication auditing, and cloud storage monitoring. Your agent can instantly list your databases, audit document collections, and retrieve storage metrics without you ever touching the Appwrite console. Whether you are monitoring cloud function executions or managing project health, your agent acts as a dedicated backend developer through natural conversation.

Pydantic AI validates every Appwrite tool response against typed schemas, catching data inconsistencies at build time. Connect 9 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Database Auditing — List all databases and collections, and retrieve documents to analyze data structures.
User Management — List and inspect project users to monitor registration trends and account statuses.
Storage Monitoring — Access storage buckets and list files to audit assets and media distribution.
Function Insights — Monitor cloud function configurations and retrieve recent execution logs for debugging.
System Health — Get real-time health status for all integrated Appwrite services within your project.

The Appwrite MCP Server exposes 9 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Appwrite to Pydantic AI via MCP

Follow these steps to integrate the Appwrite MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 9 tools from Appwrite with type-safe schemas

Why Use Pydantic AI with the Appwrite MCP Server

Pydantic AI provides unique advantages when paired with Appwrite through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Appwrite integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Appwrite connection logic from agent behavior for testable, maintainable code

Appwrite + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Appwrite MCP Server delivers measurable value.

Type-safe data pipelines: query Appwrite with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Appwrite tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Appwrite and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Appwrite responses and write comprehensive agent tests

Appwrite MCP Tools for Pydantic AI (9)

These 9 tools become available when you connect Appwrite to Pydantic AI via MCP:

get_health_status

Check project health

list_bucket_files

List files in a bucket

list_collections

List collections in a database

list_databases

List all databases

list_documents

List documents in a collection

list_function_executions

List function executions

list_functions

List cloud functions

list_storage_buckets

List storage buckets

list_users

List project users

Example Prompts for Appwrite in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Appwrite immediately.

"List all databases in my Appwrite project."

"Show the last 10 users registered in the project."

"Get execution logs for cloud function 'resize-image'."

Troubleshooting Appwrite MCP Server with Pydantic AI

Common issues when connecting Appwrite to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Appwrite + Pydantic AI FAQ

Common questions about integrating Appwrite MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Appwrite MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.