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 | RailwayWatchlist candidate | Azure MCP ServerMCP100 Selected |
|---|---|---|
| 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 com.railway · 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 |
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| 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 | Hosted server uses Railway OAuth and can scope authorized workspaces/projects; local mode reuses Railway CLI login. | 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 | Railway resource/deployment usage and account-plan charges 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 | Can mutate projects/deployments/services according to the authorized Railway user/scope. Hosted and local modes expose different tool surfaces. | 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 | Project metadata, variables requested by tools and deployment context can be shared with the 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 |
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| Risk context | Deployment mutation and potentially sensitive environment/project information require scope control and confirmation. | 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 →