- Fit
- 66 / 100
- Trust
- Needs review
- Setup
- MCP ready
- Before run
- 1 check
No community evaluationAgentStaffer users have not submitted a review yet.
Full readiness snapshotCandidate summary and risk context stay available here.
MCP server exposing the full Mistral AI surface (chat, OCR, Codestral FIM, Voxtral audio, vision, agents, moderation, classification, files, batch). Stdio...
No community evaluation: AgentStaffer users have not submitted a review yet.
Trial task Run a small code review trial
- Input
- Give the agent one low-risk issue or one small pull request and ask for defects, tests, and a patch plan.
- Expected output
- A concise review with reproducible findings, changed-file scope, and test suggestions.
- Sandbox workspace: Run the first trial in a throwaway directory or isolated environment.
- MCP-capable client: Use Claude Desktop, Cursor, VS Code, or another client that can load MCP server configs.
- Clear Install path reviewed
- Hold Trust evidence reviewed
- Install asks for production credentials or broad write access.
- Source or package cannot be verified from profile evidence.
Create evidence with POST /api/actions/run-trial. Keep the card short; open the full checklist in the trial JSON.