Tigris MCP Server
T

Tigris MCP Server

Tigris MCP Server is a high-performance, S3-compatible object storage system designed for multi-cloud and AI workloads. It seamlessly connects AI agents with Tigris storage capabilities through the MCP protocol.
2.5 points
5.6K

What is Tigris MCP Server?

Tigris MCP Server is a middleware based on the Model Context Protocol (MCP) that seamlessly connects AI agents with the Tigris object storage system. Tigris is a high-performance, S3-compatible object storage service that supports multi-cloud environments and can intelligently distribute data globally to optimize access speed.

How to use Tigris MCP Server?

You can install and run Tigris MCP Server in two ways: Docker or NPX. After configuring your AWS credentials, you can manage your buckets and objects through simple natural language commands.

Use Cases

Suitable for scenarios that require integrating AI workflows with cloud storage, such as AI model management, training data storage, database backup, and log storage. It is particularly suitable for applications that require global data distribution.

Main Features

Bucket Management
Create, list, and delete buckets, supporting intuitive natural language command operations.
Object Management
Upload, download, list, and delete objects, supporting file and folder operations.
File Sharing
Generate shareable file links for easy collaboration and data distribution.
S3 Compatibility
Fully compatible with the S3 API, allowing you to use existing S3 tools and libraries for operations.
Advantages
No egress fees, reducing data access costs
Intelligent global data distribution to optimize access speed
Simple and intuitive natural language interaction
Deep integration with mainstream AI development tools (e.g., VS Code, Cursor)
Limitations
There are directory access restrictions when running in Docker mode
AWS credentials need to be configured to use
Currently, only partial S3 functions are supported

How to Use

Get Access Credentials
Log in to the Tigris console (storage.new) to obtain AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY.
Choose an Installation Method
It is recommended to use Docker for installation to achieve better sandbox security.
Configure AI Tools
Add MCP server configuration in VS Code, Cursor, or Claude Desktop.
Start Using
Manage your buckets and objects through natural language commands.

Usage Examples

AI Model Management
Store trained AI models in Tigris and quickly deploy them to different regions through MCP commands.
Data Backup
Regularly store database backups in Tigris to ensure data security.
Team Collaboration
Share project documents with team members.

Frequently Asked Questions

How to reset lost AWS access keys?
Why can't I access certain directories when running in Docker mode?
Does it support large file uploads?
How can I view my storage usage?

Related Resources

Tigris Official Documentation
Complete Tigris usage guide and API reference
MCP Protocol Specification
Official specification document for the Model Context Protocol
Vibe Coding Blog
Tips for AI development using Tigris MCP Server
File Sharing Guide
How to share files using Tigris MCP Server
GitHub Repository
Project source code and contribution guide

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "tigris-mcp-server": {
      "command": "npx",
      "args": ["-y", "@tigrisdata/tigris-mcp-server", "run"],
      "env": {
        "AWS_ACCESS_KEY_ID": "YOUR_AWS_ACCESS_KEY_ID",
        "AWS_SECRET_ACCESS_KEY": "YOUR_AWS_SECRET_ACCESS_KEY",
        "AWS_ENDPOINT_URL_S3": "https://fly.storage.tigris.dev"
      }
    }
  }
}

{
  "mcpServers": {
    "tigris-mcp-server": {
      "command": "docker",
      "args": [
        "-e",
        "AWS_ACCESS_KEY_ID",
        "-e",
        "AWS_SECRET_ACCESS_KEY",
        "-e",
        "AWS_ENDPOINT_URL_S3",
        "-i",
        "--rm",
        "--mount",
        "type=bind,src=/Users/CURRENT_USER/tigris-mcp-server,dst=/Users/CURRENT_USER/tigris-mcp-server",
        "quay.io/tigrisdata/tigris-mcp-server:latest"
      ],
      "env": {
        "AWS_ACCESS_KEY_ID": "YOUR_AWS_ACCESS_KEY_ID",
        "AWS_SECRET_ACCESS_KEY": "YOUR_AWS_SECRET_ACCESS_KEY",
        "AWS_ENDPOINT_URL_S3": "https://fly.storage.tigris.dev"
      }
    }
  }
}

{
  "mcpServers": {
    "tigris-mcp-server": {
      "command": "npx",
      "args": ["-y", "@tigrisdata/tigris-mcp-server", "run"],
      "env": {
        "USE_AWS_PROFILES": "true",
        "AWS_PROFILE": "default",
        "AWS_ENDPOINT_URL_S3": "https://fly.storage.tigris.dev"
      }
    }
  }
}

{
  "mcpServers": {
    "tigris-mcp-server": {
      "command": "docker",
      "args": [
        "run",
        "-e",
        "USE_AWS_PROFILES",
        "-e",
        "AWS_PROFILE",
        "-e",
        "AWS_ENDPOINT_URL_S3",
        "-i",
        "--rm",
        "--mount",
        "type=bind,src=/Users/CURRENT_USER/tigris-mcp-server,dst=/Users/CURRENT_USER/tigris-mcp-server",
        "quay.io/tigrisdata/tigris-mcp-server:latest"
      ],
      "env": {
        "USE_AWS_PROFILES": "true",
        "AWS_PROFILE": "default",
        "AWS_ENDPOINT_URL_S3": "https://fly.storage.tigris.dev"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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