jev-mcp (jkudish)
proof-of-concept MCP server that puts Jev claim verification, content screening, and candidate ranking behind standard MCP tools.
OWNER
jkudish
INDUSTRY
MCP ecosystem
CATEGORY
Infra / SDKs / Integrations
KIND
REPO
HOST
github.com
WHAT IT DECIDES
CHOICE
Picks one option from a fixed set
SCORE
Rates against ordered levels
NOUL
Answers a yes / no question
Inferred from this project's own one-line summary in the community list — it reads as a SCORE + NOUL decision. Read the source to confirm.
THE SHAPE OF A SCORE CALL
A generic skeleton for this question type, not this project's actual code.
from typesafe import TypeSafe
ts = TypeSafe()
result = ts.evaluate(
state=candidate,
questions={
"relevance": {
"type": "score",
"levels": ["low", "medium", "high"],
"instructions": "How relevant is this to the query?",
}
},
)
if result["relevance"] >= 0.7:
keep(candidate)MORE IN Infra / SDKs / Integrations
eveVercel's eve engine ships Jev as the default evaluation model (`typesafe-ai/jev`) in its experimental evaluate path.AI CLIVercel Labs CLI that can run Jev as the evaluation model for its `evaluate` command.jev-mcp (blakestone-x)MCP server exposing Jev classify, score, check, match, and screen as tools for any agent, with confidence on every answer.zio-typesafe-aiZIO client for TypeSafe AI with a typed DSL over Jev decisions.