加载中…
Signed, publicly logged records of what your AI agent did, with proofs anyone can check offline.
Fabric Verify 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 Fabric Verify 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。
mcp add ai.augmentev/fabric-verify https://mcp.augmentev.com/mcp运行此命令前，请先核对上游源码。
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-23T15:47:33.197422Z",
"publishedAt": "2026-10-23T15:47:33.197422Z",
"statusChangedAt": "2026-10-23T15:47:33.197422Z"
}
},
"server": {
"name": "ai.augmentev/fabric-verify",
"title": "Fabric Verify",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://mcp.augmentev.com/mcp",
"type": "streamable-http"
}
],
"version": "0.2.1",
"packages": [
{
"version": "0.1.2",
"transport": {
"type": "stdio"
},
"identifier": "@augmentev/fabric-verify-mcp",
"registryType": "npm",
"registryBaseUrl": "https://registry.npmjs.org",
"environmentVariables": [
{
"name": "FABRIC_CREDIT_KEY",
"isSecret": true,
"isRequired": true,
"description": "Your Fabric Verify credit key (fvk_...). Buy credit at https://augmentev.com/pricing#buy; the key is shown once after payment."
},
{
"name": "FABRIC_AGENT",
"description": "A stable name for this agent, e.g. billing-agent (printable ASCII, no spaces). Default: mcp-agent."
},
{
"name": "FABRIC_MAX_SPEND_USD",
"description": "Most this server may spend per session, in US dollars ($0.005 per record). Default: 1."
}
]
}
],
"repository": {
"url": "https://github.com/AugmentEVzero/fabric-verify-mcp",
"source": "github"
},
"websiteUrl": "https://augmentev.com/fabric-verify",
"description": "Signed, publicly logged records of what your AI agent did, with proofs anyone can check offline."
}
}