Skip to main content
Glama
SnowLeopard-AI

BigQuery MCP

by SnowLeopard-AI
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Related Servers

Alternatives to BigQuery MCP

No user-submitted related servers found.

    Related Servers

    • bigquery-mcp

      vozzor
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to query and analyze Google BigQuery data, including schema browsing, running queries, and comparing datasets through natural language.
      MIT

    • Google BigQuery MCP Server

      garethcull
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables natural language exploration and querying of Google BigQuery datasets through four tools: listing datasets, inspecting table schemas, generating SQL queries with LLM assistance, and executing approved queries.
      1
      MIT

    • BigQuery MCP Server

      pvoo
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables LLMs to explore BigQuery datasets and tables, run safe read-only queries, and optionally perform vector search using BigQuery embeddings.
      10
      MIT

    • GCP BigQuery MCP Server

      roymani06
      F
      license
      Not graded
      quality
      C
      maintenance
      Enables secure read-only interaction with Google BigQuery through natural language, including listing datasets, listing tables, retrieving metadata, and executing queries with cost controls.
      -
    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

    B3.4/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a distinct and clear purpose: query executes SQL, list_tables enumerates tables, and get_schema describes table structure. There is little risk of an agent selecting the wrong tool for a task.

    Naming Consistency4/5

    list_tables and get_schema follow a consistent verb_noun snake_case pattern. The lone tool 'query' is a simple verb without a noun object, which is a minor deviation but still clear and natural for the operation.

    Tool Count4/5

    Three tools is on the minimal side but reasonable for a focused BigQuery read/query server. Each tool serves a distinct need, though the server could support a slightly broader set without feeling bloated.

    Completeness4/5

    The query tool can execute arbitrary SQL, including DDL/DML, so most BigQuery operations are reachable indirectly. The main gaps are convenience features like listing datasets or managing query jobs, but agents can work around these with SQL and INFORMATION_SCHEMA queries.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources