Jev-Style
Local 2B and 0.8B decision models: calibrated yes/no, choice and score answers for your agent.
Connector by lawrence3699 · GitHub account verified by the MCP Registry
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Install
Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.
npx agentmarket install connector/lawrence3699-jev-style
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: model-inference, agent-orchestration
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this server can do and what it asks for, from its tool list, install config and code. Checked Oct 25, 2026.
- Tools
- 5 read · 0 write · 0 deleteRead-only
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Tools by what they do 5
Read from the source code; the running server may list different tools.
Read 5 · Look things up without changing anything.
choicedecidemodel_infonoulscore
Secrets and settings it asks for
Other settings (environment variables or headers).
JEV_STYLE_URL
Network hosts it talks to 4
amazon-massive-nlu-dataset.s3.amazonaws.com· found in codegithub.com· found in codehuggingface.co· found in codejevstyle.com· found in code
Files it touches
/home/dev- Your home directory (~)
~/.config/jev-style/guard_config.json~/.local/state/jev-style-guard/guard.jsonl
Tools (5)
Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].
choicePick the best option for the state. options: a list of option names, or {option: description or null} (1..255 options, order kept). Returns {"choice", "probabilities": {option: p}, "confidence": 0..1, ...}. confidence = (k * p_max - 1) / (k - 1) for k options: 0 = uniform, 1 = certain.
decideAsk several typed questions about one state in a single call (the state is read once). state: text, or a JSON object/array (serialised for the model). questions: {id: question}. A question is {"type": "noul", "instructions": "<statement or yes/no question>", "criteria"?: {"true": "...", "false": "..."}} {"type": "choice", "instructions": "...", "criteria": {"<option>": "<description or null>", ...}} {"type": "score", "instructions": "...", "criteria": ["<lowest level>", ..., "<highest level>"]} Score levels can also be {"label": "...", "description": "..."}. Returns the systemone-comp…
model_infoModel id, context and question budgets, and which backend this MCP server uses.
noulProbability that a yes/no statement about the state is true. question: e.g. "The customer asks for a refund." or "Is the invoice overdue?" true_means / false_means: optional descriptions of what counts as true / false. Returns {"p_true": 0..1, "answer": p_true >= 0.5, ...}. Gate with your own thresholds.
scorePlace the state on an ordered scale. levels: 2..10 levels, lowest first; each a label or {"label": ..., "description": ...}. Returns {"score": expected level index (0 = first level, may fall between levels), "level": label of the most likely level, "legend": {index: label}, "probabilities": {index: p}, "confidence", ...}.
Signals
- Stars
- 22
- Forks
- 2
- Open issues
- 0
- Contributors
- 2
- Weekly downloads
- 402
- Last commit
- Oct 17, 2026 (14 days ago)
- Last release
- Oct 17, 2026 (14 days ago)
- Last package publish
- Oct 17, 2026 (14 days ago)
From GitHub (fetched Oct 24, 2026) and the package registry.
Details
- Registry name
io.github.lawrence3699/jev-style- Version
- 0.5.0
- Auth
- No auth
- Packages
- pypi jev-style
- License
- Apache-2.0
- Repository
- github.com/lawrence3699/jev-style
- Website
- jevstyle.com
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
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Cite this page
Jev-Style MCP server. Agent Mart. https://agentmart.dev/connectors/lawrence3699-jev-style (last updated 2026-10-24)