Resolving Mcp Region Configs

作者 gemini-cli-extensions2df10e25bbf7Apache-2.0215 个星标收录于 2026年10月8日更新于 2026年10月8日仓库今天更新

Mandatory Step 0 pre-flight check for regional Google Cloud MCP servers (e.g. Dataproc) before using MCP tools or falling back to gcloud/bq CLI. Use whenever interacting with Dataproc clusters, Spark batches, jobs, sessions, or regional GCP resources. Fixes regional MCP servers whose endpoint URL still has an unreplaced $GCP_REGION / ${REGION} placeholder across Claude Code, Codex, and Antigravity. Trigger: an expected mcp__*_{service}_* tool is missing entirely (not just failing), or a call to one fails/hangs on a malformed host. Check via ToolSearch/deferred-tools listing before falling back to gcloud/bq CLI. Asks the user for a region, patches the live MCP config file(s), and tells the user how to restart without losing session context.

  1. 2df10e25bbf7当前提交 2df10e2发布于 2026年10月8日

来源与署名

来源:gemini-cli-extensions/data-agent-kit-starter-pack位于skills/resolving-mcp-region-configs提交2df10e2

许可证: Apache-2.0

内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。

举报或申请下架

更多来自 gemini-cli-extensions/data-agent-kit-starter-pack 的技能

Schema Mapping

gemini-cli-extensions

为 ETL、ELT 或数据集成任务规划源到目标的模式映射,产出文档化的映射宣言。

Data & Analytics215今天更新

Notebook Guidance

gemini-cli-extensions

This skill guides the use of Jupyter notebooks for data analysis, exploration, and visualization, particularly with BigQuery. It outlines best practices for notebook execution and validation (supporting both cell-by-cell execution and full notebook generation depending on tool availability), library installation, and structuring notebooks for clarity. It also covers specific rules for data cleaning, plotting, and integrating with BigQuery SQL and machine learning workflows. Relevant when any of the following conditions are true: 1. The user request involves a data analysis, data exploration, data visualization, or data insights task that requires multiple steps, queries, or visualizations to answer. 2. The user explicitly requests a notebook (.ipynb). 3. You are creating, editing, or executing cells in a Jupyter notebook. 4. You need to query BigQuery from within a notebook. DO NOT use the Python BigQuery client library; instead, you MUST use the `%%bqsql` magics explained in this skill.

待分类215今天更新

Ml Best Practices

gemini-cli-extensions

为机器学习笔记本提供分步方案,涵盖聚类、预测、分类、回归和模型比较。

Data & Analytics215今天更新

Managing Python Dependencies

gemini-cli-extensions

指导代理检测 Python 项目的依赖管理器并正确安装依赖,而不是使用全局 pip。

Software Development215今天更新

Google Cloud Storage Fuse

gemini-cli-extensions

Mounts Cloud Storage buckets as a POSIX file system with Cloud Storage FUSE (gcsfuse). Use when you need to interact with gcsfuse — decide whether FUSE, native gs:// reads, or Filestore/Managed Lustre fits a workload, deploy tuned mounts on GKE, Compute Engine, or Cloud Run, enable and size the file, stat, and list caches, tune mount flags or config-file settings, apply workload profiles, keep ML checkpointing safe (rename atomicity, hierarchical namespace, close-time finalization, concurrent writers), or diagnose slow training, low throughput, or GCS bill spikes on existing mounts with gcsfuse metrics. Covers mount semantics, the gcsfuse CLI and config file, the GKE gcsfuse CSI driver (Workload Identity principal:// bindings, profile StorageClasses, sidecar sizing), and Cloud Run volume mounts. Don't use for bucket administration or data management without a mount (google-cloud-storage-basics) or for fully POSIX-compliant shared file systems (Filestore, Managed Lustre).

待分类215今天更新

Google Cloud Auth Verification

gemini-cli-extensions

Mandatory Step 0 pre-flight execution order and authentication verification for Google Cloud Platform (GCP), Application Default Credentials (ADC), gcloud CLI, Spark, Dataproc, BigQuery, GCS, and notebook runtimes. Use whenever interacting with GCP resources, running Spark/PySpark pipelines, BigQuery queries, GCS paths (gs://), or creating/running notebooks.

待分类215今天更新