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Typed decisions (choice, score, yes/no) from Laya, Julia-1 and clef-flash on your own GPU
jevjam 是 ChatHome Skills 收录的 MCP 条目,来源为 Official MCP Registry,质量分 78/100。 作为 Model Context Protocol 服务器,它向 Claude、Cursor、Copilot 等兼容 MCP 的 LLM 客户端暴露可直接调用的工具,让 agent 的能力超出模型内置范围。 该条目由 ChatHome Skills 的每日抓取从官方 registry 和 GitHub 发现查询中收录,每次运行都会重新核验仓库事实、新鲜度信号和安装元数据。 质量分综合了官方 registry 收录情况、可用安装命令、许可证完整性、仓库活跃度和 GitHub star 趋势,完整算法说明见来源页。安装命令已列于上方,可直接复制使用。 在将 jevjam 加入生产 agent 工作流前,请核对上方的最近更新日期和仓库状态——下方事实快照是最近一次抓取的时点值。
docker run -i --rm ghcr.io/beremaran/jevjam:0.3.3运行此命令前,请先核对上游源码。
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-04T14:32:37.177095Z",
"publishedAt": "2026-10-04T14:32:37.177095Z",
"statusChangedAt": "2026-10-04T14:32:37.177095Z"
}
},
"server": {
"name": "io.github.beremaran/jevjam",
"title": "jevjam",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.3.3",
"packages": [
{
"transport": {
"url": "http://localhost:8000/mcp",
"type": "streamable-http"
},
"identifier": "ghcr.io/beremaran/jevjam:0.3.3",
"runtimeHint": "docker",
"registryType": "oci",
"runtimeArguments": [
{
"name": "--gpus",
"type": "named",
"value": "all",
"description": "Give the container the host's NVIDIA GPUs (needs the NVIDIA Container Toolkit)"
},
{
"name": "-p",
"type": "named",
"value": "127.0.0.1:8000:8000",
"description": "Publish the HTTP API and MCP endpoint on loopback"
},
{
"name": "-v",
"type": "named",
"value": "jevjam-models:/models",
"description": "Keep downloaded checkpoints across restarts"
}
],
"environmentVariables": [
{
"name": "JEVJAM_API_KEY",
"isSecret": true,
"description": "When set, /mcp and /v1/systemone need 'Authorization: Bearer <key>'"
},
{
"name": "JEVJAM_IDLE_TIMEOUT",
"default": "300",
"description": "Seconds without inference before the resident checkpoint is freed; 0 keeps it"
},
{
"name": "HF_TOKEN",
"isSecret": true,
"description": "Optional Hugging Face token for higher download rate limits"
}
]
}
],
"repository": {
"url": "https://github.com/beremaran/jevjam",
"source": "github"
},
"websiteUrl": "https://github.com/beremaran/jevjam",
"description": "Typed decisions (choice, score, yes/no) from Laya, Julia-1 and clef-flash on your own GPU"
}
}