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India company data for agents: 3.74M-company MCA mirror, CIN/GSTIN tools, provenance on every field
India Company Diligence 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 India Company Diligence 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。
uvx india-company-diligence==0.1.1运行此命令前，请先核对上游源码。
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-25T05:46:41.482209Z",
"publishedAt": "2026-10-25T05:46:41.482209Z",
"statusChangedAt": "2026-10-25T05:46:41.482209Z"
}
},
"server": {
"name": "io.github.amit043/india-company-diligence",
"title": "India Company Diligence",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.1.1",
"packages": [
{
"version": "0.1.1",
"transport": {
"type": "stdio"
},
"identifier": "india-company-diligence",
"runtimeHint": "uvx",
"registryType": "pypi",
"environmentVariables": [
{
"name": "ICD_MIRROR_DB",
"format": "string",
"description": "Path to mca_mirror.duckdb (fetch once: uvx --from india-company-diligence icd-fetch). Default: data/mca_mirror.duckdb."
}
]
}
],
"repository": {
"url": "https://github.com/amit043/india-company-diligence",
"source": "github"
},
"websiteUrl": "https://pypi.org/project/india-company-diligence/",
"description": "India company data for agents: 3.74M-company MCA mirror, CIN/GSTIN tools, provenance on every field"
}
}