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 | groqWatchlist candidate | elevenlabsMCP100 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 ecosystem:groq · Publisher source ↗ | First-party MCP ecosystem:elevenlabs · Publisher source ↗ |
| Maintenance | ||
| Maintenance details | Repo: Aug 13, 2026 Package: Not documented | Repo: Aug 14, 2026 Package: Not documented |
| Popularity evidence | ||
| GitHub stars | 43 GitHub stars · checked 2026-08-14T18:46:26.000Z | 1,522 GitHub stars · checked 2026-08-14T18:46:26.000Z |
| External adoption evidence |
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| Client coverage | ||
| Client coverage details | Claude Code✓ Local stdio Claude Desktop✓ Local stdio Codex✓ Local stdio VS Code✓ Local stdio Cursor✓ Local stdio OpenCode✓ Local stdio | Not documented |
| Client coverage note | Local stdio runs on your computer. Streamable HTTP connects to a remotely hosted MCP server. | |
| Access and data | ||
| Authentication | The official server uses a Groq API key. | The official server uses a configured ElevenLabs API key. |
| Cost | The MCP integration has no separately verified MCP100 price conclusion. Publisher subscriptions, API usage, compute, storage, and AI-client charges may apply. | The MCP integration has no separately verified MCP100 price conclusion. Publisher subscriptions, API usage, compute, storage, and AI-client charges may apply. |
| Permissions | Groq API-key permissions, model availability, and account quotas govern usage. | ElevenLabs API-key permissions, account resources, and product quotas govern available audio operations. |
| 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 ai & reasoning information. | 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 ai & reasoning information. |
| Limitations | ||
| Tradeoffs |
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| Risk context | The implementation has limited maintenance history and a narrower evidence base than established Selected entries. 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. | Audio generation consumes paid quotas and voice or uploaded media may carry consent and privacy obligations. 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 | 2026-07-30 | 2026-07-30 |
| Candidate evidence | 2026-08-14T18:46:26.000Z | 2026-08-14T18:46:26.000Z |
Popularity, maintenance, fit, permissions, and client support are independent evidence fields.
Read the evidence method →