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by timescale · MCP Server · ★ 119
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Tiger CLI Tiger CLI is the command-line interface for Tiger Cloud. It provides commands for managing and querying database services, as well as an integrated Model Context Protocol (MCP) server for use with AI assistants. Installation Multiple installation methods are provided. Choose your preferred method from the options below. If you aren't sure, use the first one! Install Script (macOS/Linux/WSL) Install Script (Windows) Homebrew (macOS/Linux) Debian/Ubuntu For manual repository installation instructions, see here. Red Hat/Fedora For manual repository installation instructions, see here. Go Install Quick Start After installing Tiger CLI, authenticate with your T
| Stars | 119 |
| Forks | 13 |
| Language | Go |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 77.4546422484594/100 |
| Open Issues | 3 |
| Last Updated | 2026-10-01 |
| Created | 2025-08-05 |
| Platforms | cli, go, mcp |
| Est. Tokens | ~17k |
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tiger-cli is Tiger CLI is the command-line interface for Tiger Cloud. It includes an MCP server for helping coding agents write production-level Postgres code.. It is categorized as a MCP Server with 119 GitHub stars.
tiger-cli is primarily written in Go. It covers topics such as cli, context-engineering, database.
You can find installation instructions and usage details in the tiger-cli GitHub repository at github.com/timescale/tiger-cli. The project has 119 stars and 13 forks, indicating an active community.
tiger-cli is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to tiger-cli on Agent Skills Hub include pgmcp, roam-code, mcp-ssh-manager. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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