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 | GitLab MCP ServerWatchlist candidate | Docker MCP GatewayMCP100 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 GitLab · Publisher source ↗ | First-party MCP Docker · Publisher source ↗ |
| Maintenance | ||
| Maintenance details | Repo: Not documented Package: Not documented | Repo: Aug 13, 2026 Package: Not documented |
| Popularity evidence | ||
| GitHub stars | Not documented | 1,529 GitHub stars · checked 2026-08-14T18:46:26.000Z |
| External adoption evidence | Not documented |
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| Client coverage | ||
| Client coverage details | Claude Code✓ Streamable HTTP Claude Desktop✓ Streamable HTTP Codex✓ Streamable HTTP VS Code✓ Streamable HTTP Cursor✓ Streamable HTTP OpenCode✓ Streamable HTTP | 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 | The official endpoint uses OAuth 2 dynamic client registration. | The gateway handles downstream server credentials and OAuth flows. The client connects locally over stdio by running `docker mcp gateway run`, optionally with a named profile. |
| Cost | The MCP integration has no separately verified MCP100 price conclusion. Publisher subscriptions, API usage, compute, storage, and AI-client charges may apply. | The open-source gateway documents no standalone usage fee. Docker Desktop licensing, Docker AI Governance invite-only features, container infrastructure, downstream MCP services, and AI-client charges may apply. |
| Permissions | GitLab user permissions and OAuth scopes govern project, repository, issue, merge-request, and pipeline actions. | The gateway exposes the servers and tools included in the selected profile. It starts catalog servers in containers with restricted privileges, network access, and resource usage, injects configured secrets, and can support OAuth. Dynamic MCP can additionally expose tools that discover, add, configure, remove, and execute servers during a session. |
| Data handling | Authorized service data and tool results pass through the MCP server to the connected AI client. Review the publisher and client data policies before using sensitive developer tools information. | Tool requests and results pass through the local gateway to downstream MCP containers or remote services. Docker documents built-in logging and call tracing. Credentials are managed and injected by the gateway; downstream servers can still receive data and reach networks allowed by their configuration. |
| Limitations | ||
| Tradeoffs |
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| Risk context | GitLab labels the server Beta and warns that MCP-connected content can introduce prompt-injection risk. Use a test environment where practical, least-privilege credentials, narrowly enabled tools, and explicit confirmation for mutations. MCP100 did not execute third-party server code during this documentation review. | Gateway safety is only as strong as the selected profile, catalog provenance, tool filters, network policy, and downstream credentials. Disable experimental Dynamic MCP unless required, use narrow profiles, verify signatures where available, inspect traces, and treat each downstream server as a separate trust decision. This review does not claim MCP100 execution testing. |
| Evidence date | ||
| Editorial review | 2026-07-30 | 2026-07-24 |
| Candidate evidence | 2026-07-30T19:00:00.000Z | 2026-08-14T18:46:26.000Z |
Popularity, maintenance, fit, permissions, and client support are independent evidence fields.
Read the evidence method →