Wasabi MCP for AI Systems
Connect any AI agent directly to Wasabi cloud storage. No custom integration code. No API charges. No egress fees. No lock-in.
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Requires A Wasabi Account
One MCP connection. Your data unleashed for AI.
Wasabi Model Context Protocol (MCP) gives any AI agent standardized access to 140 tools across storage operations, identity management, and account governance. No custom integration code. No scripts. Choose the deployment model that fits your environment.
Wasabi Hosted MCP
Wasabi deploys and manages the MCP server on your behalf. Connect your AI agent to a pre-configured Wasabi endpoint with no setup required or server to maintain.
Multi-tenant, Wasabi-hosted and managed
Fast rollout. No infrastructure to deploy
OAuth 2.0-based implementation keeps your S3 credentials secure
Self-Hosted MCP
Deploy and operate the MCP server in your own environment. Download the executable and follow the setup instructions to get started.
Full control over your MCP server configuration
Connect to Wasabi from your own infrastructure
Ideal for regulated or compliance-sensitive environments
Top reasons to choose Wasabi MCP
AI-ready data
Turns passive storage into an active, intelligent layer for your AI agents.
Low cost. No lock-in
No egress or API fees. Your data stays portable and affordable.
No developer required
No S3 API knowledge, SDK deployment or custom code required.
Who's this for?
AI platform and ML engineering teams
Build data pipelines that read and write directly to Wasabi through a single MCP connection. No custom storage integrations required.
Application and product developers
Add storage automation to your product without S3 expertise. Automate storage operations, such as file and media processing, so you can focus on your application.
DevOps and cloud infrastructure
Standardize storage workflows, governance, and lifecycle automation across teams and environments through agent-orchestrated MCP tool calls.
Partners and solution architects
Build and deliver MCP-powered solutions on a predictably priced, enterprise-grade storage foundation with no fees for egress or API requests.
Ready to connect your first AI agent?
Launch faster with predictable pricing, no egress surprises, and MCP-native developer workflows.
Popular implementations
Four high-impact workflows teams automate first.
New Tenant Onboarding
Provision sub-accounts, users, roles, buckets, and lifecycle policies in a single agent-orchestrated workflow. No manual console steps.
Security Auditing
Run continuous, automated audits across IAM permissions and bucket configurations. Identify gaps, flag risks, and generate remediation reports in real time.
Cost Optimization
Give agents a cross-account view of storage utilization. Identify unoptimized buckets, apply lifecycle rules automatically, and generate projected savings reports in a matter of minutes.
Disaster Recovery
Automate cross-region replication, object lock configuration, and DR verification through agent-orchestrated S3 and IAM tool calls with zero manual intervention.
How Wasabi MCP works
AI agents connect to Wasabi storage through a single authenticated endpoint. From there, agents can execute storage operations, manage access policies, retrieve data, and govern your entire Wasabi environment all through natural language.
How it works
- Sign in to your Wasabi account (or start a free trial) and get your S3 key set
- Connect your LLM or AI agent to your Wasabi account securely via OAuth 2.0
- Prompt your agent to perform the desired action against your Wasabi account
- Wasabi MCP orchestrates your prompt and executes appropriate actions
Use Case Example
Optimize storage costs with a single prompt
Problem:
As storage grows, keeping costs optimized becomes a time-consuming, manual process. Lifecycle rules go stale. Unarchived objects accumulate. For teams managing multiple accounts, identifying and acting on inefficiencies requires jumping between reports and making configuration changes one bucket at a time.
Solution:
Wasabi MCP gives AI agents a complete, cross-account view of your storage environment. A single prompt surfaces usage patterns, identifies unoptimized buckets, applies lifecycle rules automatically, and generates a projected savings report, turning a manual, multi-step process into an automated workflow that runs in minutes.
Quickstart
Connect your first AI agent in minutes
Choose your deployment model and follow the steps below. Full configuration options and environment variables are in the Documentation.
Hosted MCP
No installation required. Point your MCP-compatible client to the Wasabi endpoint and authenticate via OAuth.
Self-Hosted MCP
Clone the repo, add your Wasabi credentials, and start the server.
Frequently Asked Questions
Wasabi MCP is a beta feature that connects Wasabi Hot Cloud Storage directly to the AI tools developers already use. Using the Model Context Protocol open standard, developers can ask any AI client (e.g. Claude, Cursor, Codex, and others) to manage storage through natural language, without custom integration code, scripts, or context switching.
Wasabi MCP is built for developers and teams who need AI agents to interact directly with cloud object storage. If you are building retrieval pipelines, automating storage operations, managing multi-account environments, or connecting LLMs to production data workflows, Wasabi MCP gives your agents governed, direct access to your entire Wasabi storage environment through a single connection.
Yes. Wasabi MCP is live today as a beta feature. Capabilities are actively evolving and subject to change.
A single MCP connection across three service families gives your AI agent access to more than 140 tools across your Wasabi environment — list and manage buckets, retrieve objects, generate pre-signed URLs, inspect access settings, manage IAM users and policies, govern sub-accounts, and automate lifecycle operations, all through natural language. No S3, IAM or Wasabi Account Control Manager (WACM) Connect API knowledge required.
No. Wasabi MCP works with both free trial and paid Wasabi accounts. It is compatible with all account types including standalone accounts, control accounts, and sub-accounts.
Access the Wasabi MCP beta here. Connect via OAuth 2.0, save your Wasabi credentials once and you are ready. The connection is persistent across sessions — no re-authentication required. Full configuration options are in the documentation.
Yes. All communication with Wasabi MCP is encrypted over HTTPS. Your Wasabi credentials are never exposed to your AI client — authentication is handled separately via OAuth token. Object data moves directly between your application and Wasabi storage; it does not pass through the MCP server. Your S3 access keys remain private at all times.
Wasabi MCP operates within your existing IAM policy framework. Any permissions or restrictions applied to a user carry through automatically to all MCP-based agent interactions — no additional access configuration required.
Build your first Wasabi MCP workflow
Start with one use case, prove value fast, then scale across teams.