AI & Agent Development setups
Ai Experiment Logger 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
Track and analyze AI experiments with a web dashboard and MCP tools
Tags
mcpai
- Author
- Claude Code Plugins
- Stars
- 2,423
- Updated
- Jun 2026
- Source
- GitHub
Install
/plugin marketplace add jeremylongshore/claude-code-plugins-plus-skills && /plugin install ai-experiment-logger@claude-code-plugins-plusMCP 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…
Tags
mcpairag
- Author
- Jeremy Longshore
- Stars
- 2,423
- Updated
- Jun 2026
- Source
- GitHub
Install
/plugin marketplace add jeremylongshore/claude-code-plugins-plus-skills && /plugin install databricks-workspace-mcp@claude-code-plugins-plusVerdict
Databricks Workspace Mcp edges out Ai Experiment Logger for ai & agent development on this site's signals (tag fit, popularity, recency).
- Pick Ai Experiment Logger if your project leans on mcp.
- Pick Databricks Workspace Mcp if you need stronger rag support.
Auto-generated from tag fit, popularity, recency, and featured status. Not a hand review.