Appwrite MCP. Audit your databases, users, and storage from chat.
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Appwrite MCP Server. Manage your entire backend infrastructure directly through your AI agent. This server gives your AI client instant access to list databases, audit document collections, monitor user accounts, and check real-time storage metrics for Appwrite projects.
It lets you perform backend operations without logging into the Appwrite console.
What your AI agents can do
Get health status
Checks the overall operational health status of the connected Appwrite project.
List bucket files
Lists every file that exists inside a specified storage bucket.
List collections
Provides a list of all collections contained within a specific database.
Runs the get_health_status tool to check the real-time operational status of all integrated Appwrite services.
Lists all files contained within a specific storage bucket using list_bucket_files.
Retrieves a list of all available collections within any specified database using list_collections.
Calls list_databases to get a directory of every database connected to the project.
Uses list_documents to retrieve and analyze specific documents within a chosen collection.
Calls list_function_executions to get logs and status for recent cloud function runs.
Lists available cloud functions using list_functions or all project users via list_users.
Ask AI about this MCP
Supported MCP Clients
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Appwrite MCP Server: 9 Tools for Backend Audits
Use these tools to audit every aspect of your Appwrite backend—from user accounts to cloud function logs—all through natural conversation.
019d8417get health status
Checks the overall operational health status of the connected Appwrite project.
019d8417list bucket files
Lists every file that exists inside a specified storage bucket.
019d8417list collections
Provides a list of all collections contained within a specific database.
019d8417list databases
Retrieves a directory listing of all databases in the Appwrite project.
019d8417list documents
Lists the documents and metadata stored within a specific collection.
019d8417list function executions
Retrieves records and logs for past executions of cloud functions.
019d8417list functions
Gets a list of all deployable cloud functions in the project.
019d8417list storage buckets
Lists all the dedicated storage buckets available in the Appwrite project.
019d8417list users
Lists all registered users and their basic account metadata in the project.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
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- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Appwrite, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
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- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
Appwrite MCP Server lets your AI agent manage your whole backend. You don't gotta log into the Appwrite console; your agent just talks to the API for you. It gives your client instant access to check the project's health, list databases, audit documents, monitor users, and check storage metrics.
How Appwrite MCP Works
- 1 Subscribe to the Appwrite MCP Server and provide your Project ID, API Key, and Endpoint.
- 2 Your AI client sends a natural language command (e.g., 'Show me the users who created documents in the 'product' collection').
- 3 The server routes the request, executes the necessary Appwrite tools (
list_users,list_documents, etc.), and returns the structured data directly to your AI client.
The bottom line is, your AI client uses your chat interface to talk directly to your Appwrite backend, letting you run complex audits without ever leaving your IDE.
Who Is Appwrite MCP For?
This is for the backend engineer who is sick of clicking through 10 different cloud console tabs just to check data integrity. It's for the product owner who needs to know if user sign-ups are spiking without running manual reports. It’s for anyone who needs to treat their entire backend like a command line.
Retrieves database schemas or audits user roles mid-sprint to verify data access rules before committing code.
Automates infrastructure checks, listing functions and checking execution logs (list_function_executions) to debug system failures.
Monitors project health (get_health_status) and tracks storage usage without needing console login credentials.
Integrates Appwrite workflows into internal tools, allowing the AI to manage user data and storage assets via natural conversation.
What Changes When You Connect
- Check the live status of your whole setup. Instead of guessing if something is down, run
get_health_statusto see the real-time health of every integrated Appwrite service. - Track data growth and user activity easily. Use
list_usersto get a list of all project accounts and see who signed up and when. - Audit your stored assets. With
list_storage_bucketsandlist_bucket_files, you can list every file in your media storage without touching the console. - Debug function failures faster.
list_function_executionspulls the logs and status for recent function runs, letting you pinpoint exactly what broke. - Map your data architecture. Run
list_databasesand thenlist_collectionsto map out every data structure your application uses. - Understand your code base.
list_functionsgives you a list of all deployed cloud functions, helping you see what logic exists in the project.
Real-World Use Cases
Debugging a Broken Feature
The feature broke, and you need to know why. You ask your agent to run list_function_executions for the image-resize function. The agent pulls the last 10 logs, showing that the failure is always due to a missing API key, saving you an hour of manual log digging.
Auditing User Permissions
Before a major release, you need to confirm all users have the correct roles. You ask the agent to run list_users and then list_documents on the 'admin' collection. The agent shows you the user list and the document metadata, confirming the correct user base and data structure.
Inventorying Storage Assets
The Ops team needs to know how much media is stored in the project. You ask the agent to run list_storage_buckets and then list_bucket_files. The agent returns a full inventory, allowing the team to calculate storage costs accurately.
Schema Discovery
You're handed a new project and need to know what data exists. You ask the agent to run list_databases followed by list_collections. The agent builds a map of the entire data structure, giving you a clear understanding of the project's scope.
The Tradeoffs
Guessing the API call order
Trying to manually check everything by calling list_users and then separately checking the storage buckets. This forces you to switch between two different console tabs and requires you to remember which IDs belong to which resource.
→
Let your AI agent orchestrate the audit. Ask it to 'Perform a full project inventory and list all associated users and storage buckets.' This lets the agent chain the necessary tools (list_users, list_storage_buckets, etc.) automatically.
Ignoring system health checks
Assuming everything is fine because the application runs. You only check the UI, missing out on backend failures that haven't triggered an alert yet.
→
Always start by running get_health_status. This tool gives a single, unified view of the entire project's operational status, catching problems before they cause a visible failure.
Using the wrong tool for the job
Trying to find a specific user's account status by browsing the user management section, which is slow and doesn't give you a history.
→
Just ask the agent to run list_users. This tool directly accesses the user records and gives you the list and metadata you need, without manual navigation.
When It Fits, When It Doesn't
Use this server if you need your AI client to perform deep, multi-step audits across disparate backend resources. You need to know the state of users, databases, and storage without manually switching between consoles.
Don't use this if you only need to perform a single, simple operation (e.g., just listing files). In that case, a simple file system tool might be faster. But if the job involves 'What data exists?' or 'Is the system healthy?', this is the right toolset. It's built for complex, multi-domain discovery.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Appwrite. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 9 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Manually checking your app's backend state is a nightmare.
Right now, checking if your backend is okay means clicking into the Appwrite console. You jump to the User section, then to the Database section, then the Storage section. You copy IDs, paste them into different monitoring tabs, and cross-reference everything in a giant spreadsheet. It's slow, and you always miss a dependency.
With the Appwrite MCP Server, you just tell your AI client, 'Audit the project.' The agent handles the multi-step process, running tools like `list_databases` and `get_health_status`. You get a single, comprehensive report in your chat window.
Appwrite MCP Server: Audit everything from your chat.
You don't have to open the Appwrite dashboard to see function logs or user lists. The agent runs `list_functions` and `list_function_executions` directly. It gathers the list of functions and then pulls the latest run logs—all in one conversational flow.
It changes the game from being an infrastructure expert who needs a dozen tabs open, to just talking to a super-smart assistant. You get the data, instantly.
Common Questions About Appwrite MCP
How do I check the overall status using the Appwrite MCP Server? +
Run the get_health_status tool. This checks the live operational status for all services—databases, storage, and functions—in one call. It’s the fastest way to see if your whole project is running smoothly.
Can I list all users and their metadata using the Appwrite MCP Server? +
Yes, use the list_users tool. This pulls all registered user accounts and their basic metadata, allowing you to track registration trends or spot suspicious accounts.
What is the best way to check storage contents with the Appwrite MCP Server? +
You first use list_storage_buckets to see what buckets exist. Then, you run list_bucket_files on the specific bucket name to get a full inventory of files inside it.
How can I see what functions are running using the Appwrite MCP Server? +
First, run list_functions to get the names of all available functions. Then, use list_function_executions with the function name to get the execution logs.
How do I list all collections using the Appwrite MCP Server? +
You use the list_collections tool. This tool shows every collection inside a specified database, letting you analyze your data structure quickly. You can see what data is stored without manually opening the console.
What is the purpose of `list_databases` with the Appwrite MCP Server? +
list_databases provides a catalog of every database in your project. It's the first step when you need to know which major data silos exist before inspecting any specific collections.
Can I get a list of all storage buckets using the Appwrite MCP Server? +
Yes, run the list_storage_buckets tool. This immediately shows all your cloud storage containers. You can then use list_bucket_files to audit the actual files inside.
How can I list cloud functions using the Appwrite MCP Server? +
Use the list_functions tool. This command shows all configured cloud functions in your project. After listing them, you can check their execution history with list_function_executions.
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.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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