Tigris Storage▌
by tigrisdata
Tigris Storage offers S3-compatible object storage, manage aws s3 buckets, storage blobs, and binary large object storag
Provides S3-compatible object storage capabilities for managing buckets, uploading/downloading objects, and generating signed URLs through Tigris Storage
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / AI workflows needing file storage
- / Sharing files through chat interfaces
- / Managing cloud storage from AI editors
- / Multi-cloud data distribution
capabilities
- / Create and delete storage buckets
- / Upload and download files to/from buckets
- / Generate signed URLs for file sharing
- / List objects and manage folder structures
- / Create files with custom content
- / Delete objects from storage
what it does
Connects AI agents to Tigris S3-compatible object storage for managing files, buckets, and generating shareable links. Enables file operations directly from AI chat interfaces.
about
Tigris Storage is an official MCP server published by tigrisdata that provides AI assistants with tools and capabilities via the Model Context Protocol. Tigris Storage offers S3-compatible object storage, manage aws s3 buckets, storage blobs, and binary large object storag It is categorized under cloud infrastructure, file systems.
how to install
You can install Tigris Storage in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Tigris Storage is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
🦁 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.
FAQ
- What is the Tigris Storage MCP server?
- Tigris Storage is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Tigris Storage?
- This profile displays 73 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Code & Document Analysis
Read, analyze, and understand files in your project
Example
Summarize README, analyze code structure, find TODO comments across codebase
Navigate large codebases 5x faster, understand projects quickly
Automated File Operations
Create, move, rename, and organize files based on natural language instructions
Example
Organize downloads by file type, rename files following convention, batch process images
Save hours on manual file organization
Content Search & Extraction
Search files for patterns, extract data, find information across directories
Example
Find all config files with API keys, extract emails from documents, search logs for errors
Find information instantly instead of manual grep/find
File Generation & Templates
Generate boilerplate files, apply templates, create project structures
Example
Create React component with tests and styles, generate OpenAPI spec, scaffold new project
Eliminate repetitive file creation work
Implementation Guide▌
Prerequisites
- ›Claude Desktop or Cursor with MCP support
- ›File system permissions for directories you want to access
- ›Understanding of file paths and directory structure
- ›Backup of important files before bulk operations
Time Estimate
10-20 minutes including configuration
Installation Steps
- 1.Install filesystem MCP server (often built-in with Claude Desktop)
- 2.Configure allowed directories in MCP config for security
- 3.Test read: 'Show me contents of ~/Documents/test.txt'
- 4.Test write: 'Create a new file notes.md in current directory'
- 5.Test search: 'Find all .js files containing TODO'
- 6.Test batch operations: 'Rename all .jpeg files to .jpg'
- 7.Verify file permissions and access controls
Troubleshooting
- ⚠Permission denied: Check file/directory permissions, run with appropriate user
- ⚠Path not found: Verify path is absolute or relative to working directory
- ⚠MCP server can't access directory: Add to allowed directories in config
- ⚠File already exists: Use overwrite flag or check before writing
- ⚠Operation failed: Check disk space, file locks, antivirus interference
Best Practices▌
✓ Do
- +Configure allowed directories explicitly—don't grant full filesystem access
- +Back up important files before bulk operations
- +Use dry-run mode for risky operations when available
- +Validate file paths before operations
- +Set appropriate file permissions on created files
- +Log file operations for audit trail
- +Test operations on sample files first
✗ Don't
- −Don't grant MCP access to system directories (/etc, /System)
- −Don't allow write access to production config files
- −Don't skip backup before bulk delete/move operations
- −Don't use for sensitive files (passwords, keys) without encryption
- −Don't ignore file permission errors—investigate root cause
- −Don't expose personal documents without considering privacy
💡 Pro Tips
- ★Use .gitignore patterns to exclude sensitive files from AI access
- ★Create sandboxed working directory for file experiments
- ★Combine with version control (git) for easy rollback
- ★Use file watching for real-time monitoring and reactions
- ★Create templates for common file generation tasks
- ★Leverage file metadata (timestamps, size) for smart organization
Technical Details▌
Architecture
MCP server provides file I/O operations (read, write, search, metadata) as tools Claude can invoke with natural language instructions.
Protocols
- Local file system API
- Glob patterns for search
- File streams for large files
Compatibility
- macOS
- Linux
- Windows
- Local files only (no remote filesystems by default)
When to Use This▌
✓ Use When
Use for code analysis, file organization, content search, template generation, and automating repetitive file operations. Best for local development workflows.
✗ Avoid When
Avoid for system-critical files, sensitive credentials, production environments, or when file integrity is paramount. Don't use on files you can't afford to lose.
Integration▌
- →Combine with git for version-controlled file operations
- →Integrate with code editors for seamless workflow
- →Use with backup tools for safety net
- →Pair with file watchers for automated reactions
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.6★★★★★73 reviews- ★★★★★Anika Brown· Dec 28, 2024
Tigris Storage has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Isabella Sethi· Dec 24, 2024
We evaluated Tigris Storage against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Soo Rahman· Dec 16, 2024
Strong directory entry: Tigris Storage surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Olivia Abbas· Dec 12, 2024
Tigris Storage is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Anika Farah· Dec 12, 2024
According to our notes, Tigris Storage benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Sofia Chawla· Dec 12, 2024
We wired Tigris Storage into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Isabella Johnson· Dec 8, 2024
Tigris Storage reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Chaitanya Patil· Dec 4, 2024
Tigris Storage has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Isabella Mensah· Nov 27, 2024
Tigris Storage has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Piyush G· Nov 23, 2024
Tigris Storage reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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