加载中…
Read-only access to the Islam West Africa Collection via Hugging Face datasets.
Islam West Africa Collection (IWAC) 是 ChatHome Skills 收录的 MCP 条目,来源为 Official MCP Registry,质量分 76/100。 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 Islam West Africa Collection (IWAC) 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 io.github.fmadore/iwac-mcp-server https://islam.zmo.de/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": "2026-10-26T13:06:40.09423Z",
"publishedAt": "2026-10-26T13:06:40.09423Z",
"statusChangedAt": "2026-10-26T13:06:40.09423Z"
}
},
"server": {
"name": "io.github.fmadore/iwac-mcp-server",
"icons": [
{
"src": "https://raw.githubusercontent.com/fmadore/iwac-mcp-server/main/mcpb/icon.png",
"mimeType": "image/png"
}
],
"title": "Islam West Africa Collection (IWAC)",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://islam.zmo.de/mcp/",
"type": "streamable-http"
}
],
"version": "4.3.0",
"packages": [
{
"transport": {
"type": "stdio"
},
"fileSha256": "ca13fdfbace3e98d41edde19f6df8e7753919d06ee6c57e5606f1dfa7ae3a1b5",
"identifier": "https://github.com/fmadore/iwac-mcp-server/releases/download/v4.3.0/iwac-mcp-server-windows.mcpb",
"registryType": "mcpb"
},
{
"transport": {
"type": "stdio"
},
"fileSha256": "2de1f47f4c95d05f03aa1ea647ef209ea16f3d7c49013a8b54ffce7dd90a28a4",
"identifier": "https://github.com/fmadore/iwac-mcp-server/releases/download/v4.3.0/iwac-mcp-server-macos.mcpb",
"registryType": "mcpb"
}
],
"repository": {
"url": "https://github.com/fmadore/iwac-mcp-server",
"source": "github"
},
"websiteUrl": "https://islam.zmo.de/s/westafrica/",
"description": "Read-only access to the Islam West Africa Collection via Hugging Face datasets."
}
}