Field-by-field comparison
Compare the evidence before choosing an MCP.
Each signal stays separate, missing facts remain visible, and the column order follows your selection.
| Evidence field | Google Cloud Run MCPShortlist candidate | Terraform MCPMCP100 Recommended |
|---|---|---|
| Task fit | ||
| Best for |
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| Not ideal for |
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| Avoid when |
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| 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 details | Not documented | Claude Code✓ Local stdio Claude Desktop✓ Local stdio Codex✓ Local stdio VS Code✓ Local stdio Cursor✓ Local stdio OpenCode✓ Local stdio |
| Client coverage note | Local stdio runs on your computer. Streamable HTTP connects to a remotely hosted MCP server. | |
| Access and data | ||
| Authentication | Google 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 |
| Cost | Cloud 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 |
| Permissions | Cloud 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 handling | Not 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 |
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| Risk context | Deployment 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 review | 2026-10-19 | 2026-07-24 |
| Candidate evidence | 2026-10-19 | 2026-09-25T18:35:00Z |
Popularity, maintenance, fit, permissions, and client support are independent evidence fields.
Read the evidence method →