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 LangChain 9 tools — connect in under 2 minutes

Name: Appwrite
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Appwrite through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "appwrite": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Appwrite, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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.

LangChain's ecosystem of 500+ components combines seamlessly with Appwrite through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Appwrite MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 9 tools from Appwrite via MCP

Why Use LangChain with the Appwrite MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Appwrite MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Appwrite queries for multi-turn workflows

Appwrite + LangChain Use Cases

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

RAG with live data: combine Appwrite tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Appwrite, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Appwrite tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Appwrite tool call, measure latency, and optimize your agent's performance

Appwrite MCP Tools for LangChain (9)

These 9 tools become available when you connect Appwrite to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Appwrite + LangChain FAQ

Common questions about integrating Appwrite MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.