mcp-servers

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Atualizado23 de julho de 2026 às 19:58

Configure, install, and maintain Google-managed and self-hosted MCP servers for GCP. Covers setup, auth (ADC and SA key), capability map, troubleshooting, and version tracking. Every MCP entry includes a gcloud CLI fallback.

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Fonte

jpantsjoha

jpantsjoha/googlecloud-plugin

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Ocupações relacionadasSOC

Baseado na classificação ocupacional SOC

Administradores de redes e sistemas de computadorInformática e Matemática·SOC 15-1244

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SKILL.md

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name	mcp-servers
description	Configure, install, and maintain Google-managed and self-hosted MCP servers for GCP. Covers setup, auth (ADC and SA key), capability map, troubleshooting, and version tracking. Every MCP entry includes a gcloud CLI fallback.
version	0.1
triggers	["MCP server","MCP setup","google MCP","model context protocol GCP","MCP install","MCP auth","genai toolbox","MCP tools GCP","configure MCP"]
required_scopes	[]
mcp_servers	["google-cloud-run","google-bigquery","google-gke","google-storage","google-vertex-ai","google-iam","google-logging","google-monitoring"]

MCP Servers — Google Cloud

Configure and maintain Model Context Protocol (MCP) servers for Google Cloud. All auth flows through ADC or explicit SA key path — no credential values stored anywhere.

Auth Architecture

All GCP MCP servers authenticate via Application Default Credentials (ADC):

# Authenticate locally (developer machine)
gcloud auth application-default login

# Authenticate for a service account (CI/CD or production agent)
gcloud auth activate-service-account --key-file=/path/to/sa-key.json
gcloud auth application-default login --impersonate-service-account=SA@PROJECT.iam.gserviceaccount.com

Google-Managed MCP Servers (v0.1)

Server	Capability	Required Role
`google-cloud-run`	Deploy/manage Cloud Run services	`roles/run.admin`
`google-bigquery`	Query/manage BigQuery datasets	`roles/bigquery.user`
`google-gke`	GKE cluster management	`roles/container.developer`
`google-storage`	Cloud Storage bucket ops	`roles/storage.objectAdmin`
`google-vertex-ai`	Vertex AI model/endpoint management	`roles/aiplatform.user`
`google-iam`	IAM policy management	`roles/iam.securityAdmin`
`google-logging`	Cloud Logging query/ingest	`roles/logging.viewer`
`google-monitoring`	Metrics, alerting	`roles/monitoring.viewer`

GenAI Toolbox (Google's MCP for Databases)

Google's MCP Toolbox for Databases enables LLM agents to query Cloud SQL, AlloyDB, Spanner, BigQuery, and more safely.

# Run the toolbox MCP server (requires a tools.yaml pointing at your database)
# Tested 2026-07-23: this is the correct package. Full docs: https://mcp-toolbox.dev
npx -y @toolbox-sdk/server --stdio --config tools.yaml

# Example tools.yaml (BigQuery source)
# sources:
#   my-bq:
#     kind: bigquery
#     project: PROJECT_ID
# tools:
#   run_query:
#     source: my-bq
#     description: Run a read-only BigQuery query
#     statement: SELECT ...

Package note (tested 2026-07-23): use @toolbox-sdk/server via npx — not pip install toolbox-core / uvx toolbox-core. toolbox-core is the Python SDK library for building apps; it has no server CLI entry point.

Self-Hosted / Community MCPs

Server	Install	Use
`gcloud-mcp`	`npx @modelcontextprotocol/server-gcloud`	Broad gcloud CLI coverage
`k8s-mcp`	Standard k8s MCP server	Kubernetes API for GKE

Troubleshooting

Symptom	Likely Cause	Fix
`401 Unauthorized`	ADC not set or expired	`gcloud auth application-default login`
`403 Permission Denied`	SA missing required role	Add role per table above
`MCP server not found`	Server not installed	Check install step in references/
Connection timeout	VPC firewall blocking	Verify Private Google Access + firewall

References

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