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Comparable alternatives

Shown only when capability or industry context overlaps.

Side-by-side MCP evidence comparison
Evidence fieldGoogle Cloud Run MCPShortlist candidateTerraform MCPMCP100 Recommended
Task fit
Best for
  • Cloud Run services and deploy operations
  • Use for Google Cloud Run application operations.
  • Connect compatible AI clients to HashiCorp's documented MCP capabilities.
Not ideal for
  • Deploy/delete/config changes can affect availability, traffic or cloud costs.
  • Users who need a fully reviewed MCP100 recommendation today
Avoid when
  • Deploy/delete/config changes can affect availability, traffic or cloud costs.
  • Permissions, credentials, and connected data cannot be tested with least privilege
Provenance
Provenance details

First-party MCP

Google · Publisher source ↗

First-party MCP

HashiCorp · Publisher source ↗

Maintenance
Maintenance details

Repo: Not documented

Package: Not documented

Repo: Aug 14, 2026

Package: Not documented

Popularity evidence
GitHub stars

633

GitHub stars · checked 2026-10-20

1,534

GitHub stars · checked 2026-09-25T18:35:00Z

Package downloads / 30 days

33,890

package downloads / 30 days · checked 2026-10-20

No reliable download data
Client coverage
Client coverage detailsNot documented
Claude Code✓ Local stdio
Claude Desktop✓ Local stdio
Codex✓ Local stdio
VS Code✓ Local stdio
Cursor✓ Local stdio
OpenCode✓ Local stdio
Client coverage noteLocal stdio runs on your computer. Streamable HTTP connects to a remotely hosted MCP server.
Access and data
AuthenticationGoogle Cloud remote MCP authentication can use OAuth/application credentials or an IAM principal. Cloud Run MCP calls require MCP Tool User permission plus Cloud Run/service-account/artifact permissions appropriate to the requested action.HCP Terraform/TFE API tokens; remote client may pass per-user TFE_TOKEN
CostCloud Run is usage billed with free tiers. CPU, memory, requests, outbound data transfer and related networking can become billable beyond allowances.HCP/TFE/run costs may apply
PermissionsCloud Run's MCP exposes read tools plus deployment tools. Required IAM roles can include Cloud Run Developer, Service Account User, Artifact Registry Reader and MCP Tool User for deployment workflows.HCP Terraform/TFE RBAC
Data handlingNot documented in the reviewed sources. The Cloud Run MCP reference does not make a separate MCP-specific retention/training claim; deployment tools can transmit container image references, archives, or inline source content to Google Cloud.registry/HCP/TFE data may reach connected MCP client/LLM
Limitations
Tradeoffs
  • Do not confuse Cloud Run admin MCP with hosting your own MCP on Cloud Run
  • Publisher attribution supports discovery, but does not replace an independent permissions and usability review.
Risk contextDeployment tools can create/update serving workloads, make services public depending on configuration, change production behavior, and create ongoing cloud spend.stdio/localhost defaults; strict CORS; TLS verify on; rate limits; ENABLE_TF_OPERATIONS=false by default
Evidence date
Editorial review2026-10-192026-07-24
Candidate evidence2026-10-192026-09-25T18:35:00Z

Popularity, maintenance, fit, permissions, and client support are independent evidence fields.

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