Confidential guide on numerology and astrology, based of GG33 Public information

Tigris-MCP-Server
3 years
Works with Finder
4
Github Watches
1
Github Forks
1
Github Stars
Tigris MCP Server
Tigris is a globally distributed S3-compatible object storage service that provides low latency anywhere in the world, enabling developers to store and access any amount of data for a wide range of use cases. 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.
Installation
Run npx -y @tigrisdata/tigris-mcp-server init
in terminal and follow the instructions. Please note that you need Docker installed and running on your machine if you choose to run the server in Docker mode.
Manual Configuration
Add the following to your claude_desktop_config.json
for Claude Desktop or go to Cursor Settings/MCP and click on Add new global MCP server and following code:
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/CurrentUser/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",
"--network",
"host",
"--name",
"tigris-mcp-server-claude-for-desktop", // tigris-mcp-server-cursor for Cursor AI
"-i",
"-v",
"tigris-mcp-server:/app/dist",
"--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",
"--network",
"host",
"--name",
"tigris-mcp-server-claude-for-desktop", // tigris-mcp-server-cursor for Cursor AI
"-i",
"-v",
"tigris-mcp-server:/app/dist",
"--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"
}
}
}
}
相关推荐
Take an adjectivised noun, and create images making it progressively more adjective!
Siri Shortcut Finder – your go-to place for discovering amazing Siri Shortcuts with ease
一个适用于中小型团队的AI聊天机器人,支持DeepSeek,Open AI,Claude和Gemini等车型。 专为中小团队设计的ai聊天应用,支持deepSeek,打开ai,claude,双子座等模型。
Reviews

user_ev4j6Dw8
I've been using the tigris-mcp-server for a few months now and I must say, it has significantly streamlined our data management processes. The integration capabilities are top-notch and the support from tigrisdata is exceptional. Highly recommend for anyone looking for a reliable data orchestration solution!