twothumbs
Server Details
Verifies AI agent work end to end: real artifacts and outcomes checked, not self-reported success.
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- Status
- Unhealthy
- Uptime
- 44.3% over 37 days
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- asselwan/twothumbs-mcp
- GitHub Stars
- 0
- Server Listing
- TwoThumbs MCP
TDQS
Scored across 3 tools
Each tool has a distinct purpose: list_surfaces for reading configuration, redeem_code for obtaining an API key, and run_verdict for performing the core action. No overlap or ambiguity.
All tools follow a consistent verb_noun snake_case pattern (list_, redeem_, run_), making the API predictable and easy to navigate.
3 tools is appropriately scoped for a focused utility server. Each tool is non-trivial and contributes to a clear workflow, with no redundancy or bloat.
The core workflow (listing surfaces, redeeming codes, running verdicts) is covered, but some related operations like retrieving past verdicts or managing surfaces are absent. Still, the surface seems functional for its intended purpose.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- Changed
run_verdict1 field changed- removed
Input schema / requiredRemoved value: -[ - "url" -]
3 tool updates
- First observed
list_surfaces - First observed
redeem_code - First observed
run_verdict
Related MCP Connectors
Preflight QA for AI-agent deliverables with structured verdicts and repair guidance.
Verified AI-agent outcomes: secret scanning, JSON cleanup, dedupe, anomaly and schema checks.
Watchdog for unattended AI agents: alerts, evidence checks and a verifiable proof per run.
Expert review for AI agents. On-chain proof of human review.
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