jev-agent-mcp
Related Servers
Alternatives to jev-agent-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceEnables AI coding agents to offload yes/no, multiple-choice, and scoring questions to TypeSafe's Jev, returning compact confidence-scored answers to save tokens and improve speed.1MIT
- AlicenseBqualityCmaintenanceEnables AI agents to obtain typed judgments from TypeSafe's Jev System One models, including yes/no probabilities, multiple-choice selections with distributions, and rubric-based scores, directly usable in code.52AGPL 3.0
- AlicenseAqualityBmaintenanceEnables frontier coding agents to delegate routine probabilistic judgments to TypeSafe Jev, providing calibrated triage signals for failures, attempts, completion, context ranking, findings, risk, and generic evidence-grounded questions.7MIT
- FlicenseNot gradedqualityBmaintenanceEnables Claude Code agents to perform structured decision-making through TypeSafe Jev, supporting yes/no checks, route selection, scoring, and batched multi-question judgments with confidence values.1-
- AlicenseAqualityAmaintenanceEnables agents to ask TypeSafe AI's Jev decision model typed questions — choices, scores, true/false propositions, and image bounding boxes — about a text or JSON state, returning structured answers with calibrated probabilities and confidence instead of free-form prose. Supports images, multi-question batch calls, and long-context requests over stdio.60MIT
- AlicenseNot gradedqualityBmaintenanceEnables coding agents to run source-bound evidence checks and bounded batch judgments for classification, extraction, and decision tasks via TypeSafe Jev.17 npmMIT
TDQS
Scored across 5 tools
The tools are generally distinct: review_files vs review_changes differ by input type (files vs diff), and judge/rank_candidates/verify_claim have clear use cases. However, review_files and review_changes could be confused by an agent scanning quickly, and judge with a choice question overlaps with rank_candidates for single-dimension ranking.
All tool names follow a clear verb_noun pattern (review_files, review_changes, verify_claim, rank_candidates, judge). The pattern is consistent, though 'judge' is a single verb without a noun, which is a minor deviation from the otherwise consistent scheme.
With 5 tools, the server is tightly scoped around the Jev review workflow: two review modes (files/changes), a verification tool, and two decision-support tools (judge, rank_candidates). Each tool has a distinct role and no redundancy; the count is ideal for this purpose.
The tool surface covers the core review lifecycle: review current code, review changes, verify claims, and make decisions. A minor gap is the lack of a tool to aggregate or compare multiple review results, but agents can work around that by calling review tools separately.