Skip to main content
Glama
server.py2.06 kB
"""Paper Library MCP 服务器入口""" from fastmcp import FastMCP # 创建 MCP 服务器实例 mcp = FastMCP( "Paper Library MCP", instructions="文献管理与检索 MCP 服务器 - 支持 PDF 导入、混合检索、文献综述生成、GraphRAG 知识图谱", ) # 注册所有工具 from paperlib_mcp.tools.health import register_health_tools from paperlib_mcp.tools.import_pdf import register_import_tools from paperlib_mcp.tools.search import register_search_tools from paperlib_mcp.tools.fetch import register_fetch_tools from paperlib_mcp.tools.writing import register_writing_tools # M2 GraphRAG 工具 from paperlib_mcp.tools.graph_extract import register_graph_extract_tools from paperlib_mcp.tools.graph_canonicalize import register_graph_canonicalize_tools from paperlib_mcp.tools.graph_community import register_graph_community_tools from paperlib_mcp.tools.graph_summarize import register_graph_summarize_tools from paperlib_mcp.tools.graph_maintenance import register_graph_maintenance_tools # M3 Review 工具 from paperlib_mcp.tools.review import register_review_tools # M4 Canonicalization & Grouping 工具 from paperlib_mcp.tools.graph_relation_canonicalize import register_graph_relation_canonicalize_tools from paperlib_mcp.tools.graph_claim_grouping import register_graph_claim_grouping_tools from paperlib_mcp.tools.graph_v12 import register_graph_v12_tools register_health_tools(mcp) register_import_tools(mcp) register_search_tools(mcp) register_fetch_tools(mcp) register_writing_tools(mcp) # 注册 M2 GraphRAG 工具 register_graph_extract_tools(mcp) register_graph_canonicalize_tools(mcp) register_graph_community_tools(mcp) register_graph_summarize_tools(mcp) register_graph_maintenance_tools(mcp) # 注册 M3 Review 工具 register_review_tools(mcp) # 注册 M4 Canonicalization & Grouping 工具 register_graph_relation_canonicalize_tools(mcp) register_graph_claim_grouping_tools(mcp) register_graph_v12_tools(mcp) def main(): """主入口函数""" mcp.run() if __name__ == "__main__": main()

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/h-lu/paperlib-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server