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.

MCPs in this comparison

Scaleway CLI MCPAzure MCP Server

Uncheck an MCP to remove it. Comparing two or three keeps each signal in its own row.

Comparable alternatives

Chrome DevTools MCPMCP100 SelectedContext7 MCPMCP100 SelectedGrafana Cloud MCPMCP100 SelectedGoogle MCP Toolbox for DatabasesMCP100 SelectedExcel MCP ServerMCP100 SelectedPlaywright MCPMCP100 Selected

Shown only when capability or industry context overlaps.

Side-by-side MCP evidence comparison
Evidence field	Scaleway CLI MCPWatchlist candidate	Azure MCP ServerMCP100 Selected
Task fit
Best for	Scaleway operators who already use the official `scw` CLI and want its cloud-management surface available through MCP.	Discovering and inspecting resources across supported Azure services Azure troubleshooting and development from an MCP-capable IDE Teams already governing access through Microsoft Entra ID and Azure RBAC
Not ideal for	Users seeking a narrowly scoped read-only MCP or a mature standalone hosted Scaleway MCP product.	Unattended production administration Users who only need public Azure documentation
Avoid when	Do not expose broad Scaleway CLI credentials to an AI client without project/credential scoping and review of mutating operations.	The active Azure identity has owner or broad contributor access beyond the task The MCP client cannot require approval for destructive or costly operations Resource metadata, logs, or configuration cannot be shown to the connected AI client
Provenance
Provenance details	First-party MCP io.github.scaleway · Publisher source ↗	First-party MCP Microsoft · Publisher source ↗
Maintenance
Maintenance details	Stale Repo: Not documented Package: Not documented	Repo: Aug 14, 2026 Package: Aug 13, 2026
Popularity evidence
GitHub stars	Not documented	3,514 GitHub stars · checked 2026-08-14T18:46:26.000Z
Package downloads / 30 days	No reliable download data	477,796 package downloads / 30 days · checked 2026-08-14T18:46:26.000Z
Shared repository stars	Not documented	3,566 Shared repository stars (not MCP-specific) · checked 2026-08-14T18:46:26.000Z
External adoption evidence	Not documented	npm: package downloads: 477,796Exact attributable signal.npm: package downloads · Rolling 30 days · checked 2026-08-14T18:46:26.000ZEvidence source ↗
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	Uses the Scaleway CLI/account credential profile configured for `scw`; exact key/token fields follow current Scaleway CLI documentation.	The local server uses Azure's established authentication chain, commonly Azure CLI sign-in or other Microsoft identity credentials. No credential should be embedded in MCP JSON; use a dedicated least-privilege identity or subscription context.
Cost	Normal Scaleway cloud-resource charges and model/provider costs apply.	The MIT-licensed server has no separately documented MCP charge. Azure resources created or queried, network usage, logs, and the AI client remain subject to their normal plans and charges.
Permissions	Potentially broad cloud-management authority inherited from the authenticated Scaleway CLI profile.	Tools invoke Azure operations using the current Azure authentication context, and Azure RBAC determines effective access. Depending on enabled services and roles, the server can read, create, update, or delete cloud resources and retrieve logs or configuration.
Data handling	Cloud project/resource metadata and operation results can be shared with the connected AI client/provider.	Azure resource identifiers, configuration, logs, command inputs, and results may be returned to the MCP client. Microsoft documents optional usage telemetry that can be disabled with AZURE_MCP_COLLECT_TELEMETRY=false; normal Azure service requests remain visible to Azure.
Limitations
Tradeoffs	Promoted after strict re-audit: canonical identity and MCP-native/publisher-backed implementation are sufficiently evidenced, with real workflow value, usable documentation, understandable permissions, plausible maintenance, and no unresolved security veto. Still not strong enough for Selected.	One server covers more than forty Azure services, which is convenient but creates a broad tool and permission surface. Actual authority follows Azure RBAC; narrowing tools does not replace narrowing the signed-in identity. Microsoft telemetry is enabled by default unless AZURE_MCP_COLLECT_TELEMETRY=false is set.
Risk context	New MCP mode plus broad cloud-control authority make least privilege and read-first verification essential.	A broadly privileged Azure identity can make the agent an infrastructure administrator. Use a non-production subscription for evaluation, least-privilege RBAC, explicit subscription/resource-group targeting, telemetry choice, activity logs, budgets, and confirmation before every mutation. This review does not claim MCP100 execution testing.
Evidence date
Editorial review	2026-09-13T00:00:00Z	2026-07-24
Candidate evidence	2026-09-13T00:00:00Z	2026-08-14T18:46:26.000Z

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

Read the evidence method →