Search / io.github.lawrence3699/jev-style
Jev-Style
L0· runs locallyLocal 2B and 0.8B decision models: calibrated yes/no, choice and score answers for your agent.
v0.5.0 · active · repository · website · descriptor JSON · versions
Search / io.github.lawrence3699/jev-style
L0· runs locallyLocal 2B and 0.8B decision models: calibrated yes/no, choice and score answers for your agent.
v0.5.0 · active · repository · website · descriptor JSON · versions
{
"mcpServers": {
"jev-style": {
"command": "uvx",
"args": [
"jev-style==0.5.0",
"mcp"
],
"env": {
"JEV_STYLE_URL": "http://127.0.0.1:8765"
}
}
}
}claude mcp add jev-style -e "JEV_STYLE_URL=http://127.0.0.1:8765" -- uvx jev-style==0.5.0 mcp[mcp_servers.jev-style]
command = "uvx"
args = ["jev-style==0.5.0", "mcp"]
env = { "JEV_STYLE_URL" = "http://127.0.0.1:8765" }
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"jev-style": {
"type": "local",
"command": [
"uvx",
"jev-style==0.5.0",
"mcp"
],
"enabled": true,
"environment": {
"JEV_STYLE_URL": "http://127.0.0.1:8765"
}
}
}
}{
"mcpServers": {
"jev-style": {
"command": "uvx",
"args": [
"jev-style==0.5.0",
"mcp"
],
"env": {
"JEV_STYLE_URL": "http://127.0.0.1:8765"
}
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=jev-style&config=eyJjb21tYW5kIjoidXZ4IiwiYXJncyI6WyJqZXYtc3R5bGU9PTAuNS4wIiwibWNwIl0sImVudiI6eyJKRVZfU1RZTEVfVVJMIjoiaHR0cDovLzEyNy4wLjAuMTo4NzY1In19"
}{
"servers": {
"jev-style": {
"type": "stdio",
"command": "uvx",
"args": [
"jev-style==0.5.0",
"mcp"
],
"env": {
"JEV_STYLE_URL": "http://127.0.0.1:8765"
}
}
}
}{
"mcpServers": {
"jev-style": {
"command": "uvx",
"args": [
"jev-style==0.5.0",
"mcp"
],
"env": {
"JEV_STYLE_URL": "http://127.0.0.1:8765"
}
}
}
}extensions:
"jev-style":
enabled: true
name: "jev-style"
type: stdio
cmd: "uvx"
args:
- "jev-style==0.5.0"
- "mcp"
envs:
"JEV_STYLE_URL": "http://127.0.0.1:8765"
timeout: 300
This is a local package: the command runs on your machine.
Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)auth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)stability.changes, stability.rug_pulltool list unknownNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +namespace-matches-repo +website ~liveness-unmeasured +updated-3d-ago
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
[email protected] PyPIthis version is not known to the dependency resolver
Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.
| package | registry | version | runtime | secrets |
|---|---|---|---|---|
jev-style | pypi | 0.5.0 | uvx |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
{
"name": "io.github.lawrence3699/jev-style",
"title": "Jev-Style",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.5.0",
"packages": [
{
"version": "0.5.0",
"transport": {
"type": "stdio"
},
"identifier": "jev-style",
"runtimeHint": "uvx",
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org",
"packageArguments": [
{
"type": "positional",
"value": "mcp"
}
],
"environmentVariables": [
{
"name": "JEV_STYLE_URL",
"default": "http://127.0.0.1:8765",
"description": "URL of a running `jev-style serve` (start it with `pip install \"jev-style[torch]\"` or `[mlx]` on Apple silicon, then `jev-style serve`)."
}
]
}
],
"repository": {
"url": "https://github.com/lawrence3699/jev-style",
"source": "github"
},
"websiteUrl": "https://jevstyle.com",
"description": "Local 2B and 0.8B decision models: calibrated yes/no, choice and score answers for your agent."
}