Metabase
MCP server for Metabase integration developed by EaseCloud Technologies that provides AI assistants with comprehensive access to Metabase business intelligence operations through both API key and username/password authentication. The implementation offers complete dashboard management (create, update, delete, execute), question/card operations with query execution, database connectivity with SQL query capabilities, plus user management, collections, and permission controls through a unified tool registry system. Built with TypeScript and featuring Docker deployment options, resource templates for programmatic access, and extensive error handling, it serves teams using Metabase for analytics who want AI assistants to automate report generation, execute ad-hoc queries, manage dashboard configurations, and perform administrative tasks across their business intelligence workflows.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/easecloudio/mcp-metabase-server
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Metabase from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.