jev
Related Servers
Alternatives to jev
No user-submitted related servers found.
Related Servers
- 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
- 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
- AlicenseAqualityCmaintenanceEnables coding or reasoning agents to request structured judgments from TypeSafe's Jev model at decision points, including choices, scores, claim verification, and code reviews, with probabilities and confidence returned as data.5MIT
- 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.51AGPL 3.0
- 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 get fast, calibrated probabilistic answers from Jev (Typesafe AI) to yes/no, scale, or choice questions about provided material, without using a generative model.1208 npm2MIT
TDQS
Scored across 11 tools
Each tool has a clearly identified job: classification, scoring, yes/no checks, batched questions, batched files, directory line search, single-file line search, short-value extraction, injection screening, web ranking, and model listing. Even the similar pair jev_search and jev_locate are explicitly split by directory versus single-file use, so an agent should not misselect.
All tools share the jev_ prefix and nearly all use a simple verb form, creating a predictable pattern. The only minor deviation is jev_models, which is a noun rather than a verb like list_models, but it is still recognizable and does not break the overall convention.
Eleven tools is within the ideal range and each tool addresses a distinct need in the Jev workflow, from asking questions of files to ranking web pages to screening for prompt injection. The count feels deliberate rather than padded.
The surface covers the full read-and-analyze lifecycle: single questions, batched questions, many-file triage, directory search, large-file location, short extraction, classification, scoring, web ranking, and security screening. No obvious dead ends or missing operations stand out for the stated domain.