Tigris Data
A serverless NoSQL database and search platform.
🦁 Tigris MCP Server
[!IMPORTANT] Tigris has a hosted MCP server with OAuth support. Read more about it on mcp.storage.dev.
Tigris is a high-performance, S3-compatible object storage system designed for multi-cloud and AI workloads. We move your data all around the world based on where it's needed so that downloads are fast and the data is close to your users. You can store anything you want on Tigris (AI models, training data, database backups, request logs, social media uploads, or anything else) with no egress fees.
The Tigris MCP Server implements the MCP specification to create a seamless connection between AI agents and Tigris key features like bucket and object management.
🎯 Features
The Tigris MCP server provides your agents context to your Tigris buckets and objects. That allows you to use Tigris in your AI editor workflows.
Here are some example prompts you can try:
📦 Buckets
- List my tigris buckets
- Create a new tigris bucket and call it
my-bucket - Delete my tigris bucket called
my-bucket
🔗 Objects
- List my objects in bucket
my-bucket - Upload
/Users/ME/tigris-mcp-server/myfile.txttomy-bucket - Create a folder named
testinmy-bucket - Create a file
test.txtwith contentHello Worldinmy-bucket - Give me a link to share for
test.txt - Delete
myfile.txtfrommy-bucket
Checkout our blog post about Vibe coding with Tigris MCP Server and more tips on sharing files using Tigris MCP Server
🚀 Getting Started
As Tigris supports the S3 API, you can use the wide range of available S3 tools, libraries, and extensions. You can get AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY from webconsole by following these the steps. Please refer to our Tigris Data documentation for detailed overview.
To get started:
- Sign up for an account at storage.new.
- Get an access key at storage.new/accesskey.
- Copy the
AWS_ACCESS_KEY_IDandAWS_SECRET_ACCESS_KEYto a safe place like your password manager. These will not be shown again.
⚒️ Requirements
Tigris MCP server can be used both with npx and docker. We recommend running with docker as it provides better sandboxing.
We support installing the Tigris MCP server two ways:
We suggest installing and using the MCP server with Docker as it provides much better sandboxing than NPX.
- Running the Tigris MCP server with
dockerrequires the Docker Engine to be installed. If you don't have it installed, follow the instructions here. - Running the Tigris MCP server with
npxrequires Node.js to be installed. If you don't have it installed, follow the instructions here.
⚙️ Installation
🪄 One click install for VS Code
Click one of these buttons to install the Tigris MCP Server for VS Code or VS Code Insiders.
📦 Claude Desktop and Cursor AI
You can install the Tigris MCP server in Claude Desktop and Cursor by running our install script:
npx -y @tigrisdata/tigris-mcp-server init
Manual Installation
If you don't want to use our automatic install script, you can manually install the Tigris MCP server by adding one of these blocks to your MCP client's configuration.
For Claude Desktop, edit one of the following files:
- 🍎 macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - 🪟 Windows:
%APPDATA%\Claude\claude_desktop_config.json
To open the right file in Cursor:
- 🍎 macOS:
- Open the Cursor menu in the upper-left hand corner of your screen
- Go to Settings -> Cursor Settings
- Click on the MCP tab
- Click "Add new global MCP server"
- 🪟 Windows:
- Open the File menu
- Go to Preferences -> Cursor Settings
- Click on the MCP tab
- Click "Add new global MCP server"
Then add one of the following blocks to the end of your configuration:
📦 Via NPX
{
"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"
}
}
}
}
🐳 Via Docker
Please note that the server will only allow operations within `/User/CURRENT_USER/tigris-mcp-server. This allows for a secure sandboxing environment.
{
"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"
}
}
}
}
Alternatively, you can use your existing AWS Profiles if you have AWS CLI installed and have your AWS credential configured. You can use the following configuration.
{
"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"
}
}
}
}
or via docker
{
"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"
}
}
}
}
For development, refer to the CONTRIBUTING.md file.
Related Servers
MLB SportRadar
Access MLB game data, standings, and player statistics using the SportRadar API.
Apple Health Data with Elasticsearch
A Python-based MCP server that connects to an Elasticsearch index with Apple HealthKit data.
Library MCP
A local server to query and interact with Markdown knowledge bases by tags, text, slug, or date.
Noves MCP Server
Access blockchain transaction data in natural language, providing human-readable descriptions for AI assistants.
Powerdrill
An MCP server that provides tools to interact with Powerdrill datasets, enabling smart AI data analysis and insights.
Hive MCP Server
Enables AI assistants to interact with the Hive blockchain through the Model Context Protocol.
Quick Data for Windows MCP
A Windows-optimized server for performing data analytics on JSON and CSV files, designed for Claude Desktop integration.
Insights Knowledge Base
A free, plug-and-play knowledge base with over 10,000 built-in insight reports and support for parsing private documents.
Tabular MCP Server
An MCP server for local Tabular Models like PowerBI. It allows LLM clients to debug, analyze, and compose DAX queries by connecting to a local Tabular model instance.
StockFlow
Provides real-time stock data and options analysis from Yahoo Finance, enabling market data access, stock analysis, and options strategy evaluation.