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Rohithgilla12 / MCP Servers

data-peek

A minimal, fast, database client desktop application. Built for developers who want to quickly peek at their data without the bloat.

  • 1.7k stars
  • 123 forks
  • 7 open issues
  • Language: TypeScript
  • License: NOASSERTION
  • updated

Install

Claude Code CLI
git clone https://github.com/Rohithgilla12/data-peek
  1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
  2. Replace any <placeholder> values with your API keys or paths.
  3. Restart Claude. The MCP server and its tools appear automatically.

Clone https://github.com/Rohithgilla12/data-peek and follow its README for install instructions.

README

MCP Servers overview

README preview not available. Visit the repo on GitHub for full documentation.
Use cases
Topics
database-guideveloper-toolselectronhacktoberfestmcpmysqlpostgresqlsqlsql-clienttypescript
Frequently asked

What people ask about data-peek

What is Rohithgilla12/data-peek?

Rohithgilla12/data-peek is mcp servers for the Claude AI ecosystem. A minimal, fast, database client desktop application. Built for developers who want to quickly peek at their data without the bloat. It has 1.7k GitHub stars and its last recorded update is dated 2026-10-23.

How do I install data-peek?

You can install data-peek by cloning the repository (https://github.com/Rohithgilla12/data-peek) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is Rohithgilla12/data-peek safe to use?

Our security agent has analyzed Rohithgilla12/data-peek and assigned a Trust Score of 82/100 (tier: Trusted). See the full breakdown of passed checks and flags on this page.

Who maintains Rohithgilla12/data-peek?

Rohithgilla12/data-peek is maintained by Rohithgilla12. The last recorded GitHub activity is dated 2026-10-23, with 7 open issues.

Are there alternatives to data-peek?

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.