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 | Make MCPShortlist candidate | codaMCP100 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 Make · Publisher source ↗ | First-party MCP ecosystem:coda · Publisher source ↗ |
| Maintenance | ||
| Maintenance details | Repo: Not documented Package: Not documented | Repo: Not documented Package: Not documented |
| Popularity evidence | ||
| Client coverage | ||
| Client coverage details | Not documented | Claude Code✓ Streamable HTTP Claude Desktop✓ Streamable HTTP Codex✓ Streamable HTTP VS Code✓ Streamable HTTP Cursor✓ Streamable HTTP OpenCode✓ Streamable HTTP |
| Client coverage note | Local stdio runs on your computer. Streamable HTTP connects to a remotely hosted MCP server. | |
| Access and data | ||
| Authentication | OAuth to `https://mcp.make.com`, or an MCP token using the Make-hosted regional connection URL. | The official hosted endpoint supports OAuth 2 and personal access tokens. |
| Cost | No separate MCP-server price was stated in the reviewed MCP overview. Scenario-run tools are available across plans; management-tool availability is plan-dependent. | The MCP integration has no separately verified MCP100 price conclusion. Publisher subscriptions, API usage, compute, storage, and AI-client charges may apply. |
| Permissions | Available tools are controlled by granted OAuth/MCP-token scopes and the selected Make organization. Scenario-run tools are broadly available; management tools depend on plan and granted management scopes. | Coda document sharing, user permissions, admin controls, and OAuth or PAT scope determine access. |
| Data handling | Tool inputs are sent to Make to invoke or manage Make resources/scenarios, and Make returns tool outputs to the MCP client. The reviewed MCP docs do not state a separate MCP-specific model-training policy. | 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 files & knowledge information. |
| Limitations | ||
| Tradeoffs |
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| Risk context | Running a scenario can trigger downstream external actions. Management scopes can modify Make scenarios, connections, webhooks, data stores, and organization resources. | Documents and tables can contain broad internal knowledge, and write tools can alter shared operational records. 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. |
| Evidence date | ||
| Editorial review | 2026-10-19 | 2026-07-30 |
| Candidate evidence | 2026-10-20 | 2026-09-24T04:25:05.554391Z |
Popularity, maintenance, fit, permissions, and client support are independent evidence fields.
Read the evidence method →