waynesutton

Schema visualizer and dashboard tools for exploring Convex databases. Opens interactive browser UIs alongside terminal output.

15
3
100% credibility
Found Feb 02, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Visual tools for browsing Convex database schemas, viewing real-time metrics dashboards, generating diagrams, and monitoring activity through interactive browser interfaces and terminal outputs.

How It Works

1
🔍 Discover Convex Visual Tools

You hear about a helpful set of pictures and charts that make your database easy to understand and watch.

2
📦 Get the Tools Ready

With one quick step, you bring the tools to your computer so they're ready to use anytime.

3
🔗 Link to Your Database

You connect the tools to your database project in moments, like plugging in a favorite gadget.

4
See Your Data Come Alive

Magic happens as colorful graphs, live charts, and maps show your tables, relationships, and activity at a glance.

5
Pick Your View
🗺️
Relationship Map

Spot how your data pieces connect like a subway system.

📊
Live Dashboard

Watch numbers and charts update in real time.

📋
Task Board

See jobs and helpers organized by status.

6
👀 Dive Deeper

Click around to zoom into tables, check recent changes, or spot busy spots effortlessly.

Master Your Database

Now you clearly see your data's structure, activity, and flow, making decisions faster and with confidence.

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Star Growth

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AI-Generated Review

What is convex-mcp-visual?

This TypeScript CLI and MCP server delivers db schema visualizers and dashboard tools tailored for Convex databases, opening interactive browser UIs alongside terminal output. Developers get graph views of schemas, Mermaid ER diagrams with auto-detected relationships, realtime metrics charts, table heatmaps for writes, schema drift comparisons, and kanban boards for scheduled jobs or AI agents. It pulls data via Convex deploy keys, working as a standalone tool or plugin for Claude, Cursor, and similar AI coding environments.

Why is it gaining traction?

Convex lacks built-in visuals, so this fills the gap with specialized views like write conflict reports from logs and codebase subway maps—features absent in generic schema visualizer npm packages or online tools. MCP integration lets AI assistants trigger browser-based schema browsers or dashboards on natural language prompts like "show my schema graph," streamlining debugging in tools like Cursor. Multi-deployment support and dark mode make it practical for daily Convex workflows.

Who should use this?

Convex backend engineers debugging schema drift or relationships between tables. Fullstack devs building AI agents who need kanban oversight of threads and jobs. Teams monitoring DB health via heatmaps or metrics without Prisma-style schema visualizers or Supabase dashboards.

Verdict

Grab it if you're deep in Convex—npm install -g and --setup gets you graphing schemas in minutes, with solid docs despite 14 stars and 1.0% credibility. Early-stage but focused; skip if not on Convex.

(187 words)

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