# Tigris Storage

> Use this tool when you need to manage object storage for AI applications, providing S3-compatible capabilities to store and retrieve files during conversations. It solves problems of data persistence and retrieval, allowing AI agents to upload, download, and generate signed URLs for objects in a secure and efficient manner. With inputs including AWS credential profiles and outputs such as signed URLs and object metadata, Tigris Storage is ideal for use cases requiring seamless file management in AI-powered conversations.

Canonical page: https://skillsregistry.net/skills/tigrisdata-tigris-storage  
JSON: https://api.skillsregistry.net/v1/skills/tigrisdata-tigris-storage

## Description

Tigris MCP Server is a TypeScript implementation that provides S3-compatible object storage capabilities through the Model Context Protocol. Developed by Tigris Data, it enables AI assistants to manage buckets and objects in Tigris Storage, with features including bucket creation/deletion, object uploading/downloading, and generating signed URLs. The server can be run via Node.js or Docker, supports AWS credential profiles, and includes a convenient initialization wizard for configuring with applications like Claude for Desktop and Cursor AI, making it particularly useful for AI agents that need to persist and retrieve files during conversations.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tigrisdata-tigris-storage)
- **Repository:** <https://github.com/tigrisdata/tigris-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tigrisdata-tigris-storage"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tigrisdata-tigris-storage` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tigrisdata-tigris-storage/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt