Convex vs Databricks Workspace Mcp for AI & Agent Development
Comparing two Claude Code plugins for ai & agent development. Below: side-by-side facts, then a verdict you can disagree with.
Side by side
Official Convex plugin for Claude Code with bundled Convex skills, the convex-expert subagent for code-writing, a runtime-error monitor, and MCP access for backend development, schema design, real-time features, auth, file storage, scheduled jobs, and AI agents.
/plugin install convex@claude-plugins-officialMCP server for the Databricks control plane — 8 read-only tools for cluster forensics, instance pools, DLT pipeline event logs, and Unity Catalog external locations / storage credentials. The endpoint families no managed Databricks MCP exposes; pairs with the managed SQL MCP for…
- Author
- Jeremy Longshore
- Stars
- 2,423
- Updated
- Jun 2026
- Source
- GitHub
/plugin marketplace add jeremylongshore/claude-code-plugins-plus-skills && /plugin install databricks-workspace-mcp@claude-code-plugins-plusVerdict
Databricks Workspace Mcp edges out Convex for ai & agent development on this site's signals (tag fit, popularity, recency).
- Pick Convex if your project leans on database.
- Pick Databricks Workspace Mcp if you need stronger mcp support.
Auto-generated from tag fit, popularity, recency, and featured status. Not a hand review.