Apache Iceberg
MCP Iceberg Catalog provides a SQL interface for querying and managing Apache Iceberg tables through Claude desktop. The server connects to Iceberg REST catalogs and S3-compatible storage, supporting operations like listing tables, describing schemas, executing SELECT queries, and inserting data. Built with PyIceberg and PyArrow for efficient data handling, it translates SQL commands to Iceberg operations and manages catalog connections transparently. This implementation is particularly valuable for data analysts and engineers who need to interact with data lakes directly through conversational AI without switching contexts.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · 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/ahodroj/mcp-iceberg-service
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Apache Iceberg 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.