Keboola
This Keboola Explorer MCP server, developed by Jordan Burger, provides a bridge between AI assistants and the Keboola Connection platform. Built with Python and leveraging libraries like httpx and pandas, it offers tools for exploring and managing Keboola projects, including bucket and table operations, component configurations, and data previews. The implementation focuses on simplifying interactions with Keboola's Storage API, making it accessible for AI models to query and analyze data stored in Keboola. It's particularly useful for tasks like data exploration, project management, and automated reporting, enabling AI assistants to access and manipulate data in Keboola without requiring deep knowledge of the underlying API complexities.
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
- data-analytics
- Source
- PulseMCP
- Repository
- github.com/keboola/mcp-server
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Keboola 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.