加载中…
Agentic RAG over one PDF or a whole folder: hybrid search, selective page reads, tables, OCR.
io.github.jztan/pdf-mcp 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 io.github.jztan/pdf-mcp 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 pdf-mcp==3.5.0运行此命令前，请先核对上游源码。
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-03T02:30:51.432769Z",
"publishedAt": "2026-10-03T02:30:51.432769Z",
"statusChangedAt": "2026-10-03T02:30:51.432769Z"
}
},
"server": {
"name": "io.github.jztan/pdf-mcp",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "3.5.0",
"packages": [
{
"version": "3.5.0",
"transport": {
"type": "stdio"
},
"identifier": "pdf-mcp",
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org",
"environmentVariables": [
{
"name": "PDF_MCP_CACHE_DIR",
"format": "string",
"description": "Directory for storing PDF cache (default: ~/.cache/pdf-mcp)"
},
{
"name": "PDF_MCP_CACHE_TTL",
"format": "number",
"description": "Cache time-to-live in hours (default: 24)"
}
]
},
{
"transport": {
"type": "stdio"
},
"fileSha256": "75cdeacccf0ad5e035041a2dc15306cecad1f5ff79351852df801d4271cbaba1",
"identifier": "https://github.com/jztan/pdf-mcp/releases/download/v3.5.0/pdf-mcp-3.5.0.mcpb",
"registryType": "mcpb"
}
],
"repository": {
"url": "https://github.com/jztan/pdf-mcp",
"source": "github"
},
"description": "Agentic RAG over one PDF or a whole folder: hybrid search, selective page reads, tables, OCR."
}
}