Iceberg
Iceberg MCP is a Rust-based server implementation that provides AI assistants with access to Apache Iceberg catalogs. Developed by Morris Tai, it currently supports REST catalogs with plans for AWS Glue, S3 Table, and Hive metastore integration. The server exposes five key tools for data exploration: listing namespaces and tables, retrieving table schemas, accessing table properties (including size and record count), and examining table partitions. Built with async support and comprehensive logging, it's particularly valuable for data engineers and analysts who need to explore and understand Iceberg data lakes through AI assistants without writing complex catalog interaction code.
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 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/morristai/iceberg-mcp
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve 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.