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IcebergMCP

by ryft-io
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Python

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Alternatives to IcebergMCP

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    Related Servers

    • MCP Iceberg Catalog

      ahodroj
      F
      license
      B
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      D
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      A Model Context Protocol server that provides a SQL interface for querying and managing Apache Iceberg tables through Claude desktop, allowing natural language interaction with Iceberg data lakes.
      1
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    • iceberg-mcp-server

      dragonejt
      A
      license
      Not graded
      quality
      A
      maintenance
      MCP Server for Apache Iceberg, enabling users to read, query, and manipulate data within Iceberg catalogs.
      158 PyPI
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    • MCP Trino Server

      fastmcp-me
      A
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      quality
      C
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      MCP server providing seamless integration with Trino and Iceberg for advanced data exploration, querying, and table maintenance.
      Apache 2.0

    • IcebergMCP

      fastmcp-me
      A
      license
      C
      quality
      D
      maintenance
      Enables natural language interaction with Apache Iceberg Lakehouse tables through MCP, supporting read-only operations like listing namespaces, tables, schemas, and partitions.
      5
      Apache 2.0
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    C2.7/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose targeting different aspects of Iceberg metadata: listing tables, listing namespaces, retrieving partitions, properties, and schema. There is no overlap in functionality, making tool selection straightforward for an agent.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern with 'get_' prefix and descriptive suffixes (e.g., get_iceberg_tables, get_namespaces, get_table_partitions). The naming is uniform and predictable across all five tools.

    Tool Count5/5

    With 5 tools, this server is well-scoped for its purpose of retrieving Iceberg catalog metadata. Each tool serves a specific, non-trivial function, and the count is neither too sparse nor overwhelming for the domain.

    Completeness3/5

    The toolset covers read operations for Iceberg metadata (tables, namespaces, partitions, properties, schema) but lacks any write, update, or delete capabilities. While it provides a solid foundation for querying, it is incomplete for full lifecycle management of Iceberg resources.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources