AI-ERD▌
by ai-erd
AI-ERD - Create and manage database schemas with DBML on a real-time visual canvas for fast, collaborative design and in
Create and manage database schemas using DBML with a real-time visual canvas.
github stars
★ —
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Database designers planning new systems
- / Developers documenting existing databases
- / Teams collaborating on schema changes
capabilities
- / Write database schemas in DBML format
- / Generate visual ERD diagrams from schema code
- / Edit database relationships and constraints
- / Export schemas to multiple database formats
- / Validate database schema structure
what it does
Create and manage database schemas using DBML syntax with a real-time visual canvas that shows your database structure as you build it.
about
AI-ERD is an official MCP server published by ai-erd that provides AI assistants with tools and capabilities via the Model Context Protocol. AI-ERD - Create and manage database schemas with DBML on a real-time visual canvas for fast, collaborative design and in
how to install
You can install AI-ERD in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
license
MIT
AI-ERD is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
FAQ
- What is the AI-ERD MCP server?
- AI-ERD is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for AI-ERD?
- This profile displays 46 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★46 reviews- ★★★★★Carlos Thompson· Dec 16, 2024
I recommend AI-ERD for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Chen Bansal· Dec 8, 2024
AI-ERD is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Chen Agarwal· Dec 4, 2024
We evaluated AI-ERD against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chen Gill· Nov 27, 2024
AI-ERD is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Nia Choi· Nov 11, 2024
According to our notes, AI-ERD benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Ishan Patel· Nov 7, 2024
AI-ERD reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ishan Tandon· Oct 26, 2024
Useful MCP listing: AI-ERD is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Harper Anderson· Oct 18, 2024
We evaluated AI-ERD against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Noah Zhang· Oct 2, 2024
AI-ERD has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Kofi Okafor· Sep 13, 2024
AI-ERD reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
showing 1-10 of 46