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HLPP Recruit Graph MCP

受控、只读的职业技能图谱 MCP 服务。服务仅返回当前生产活动版本的数据,不提供任意 Cypher 或写入能力。

工具

  • search_standard_roles:根据标准岗位名称或历史别名查找标准岗位。
  • get_role_profile:查询岗位所需的技能、任务和工具。
  • get_job_category_children:查询职业分类的直属子类和标准岗位。
  • compare_roles:比较两个岗位的共同技能和差异技能。
  • get_active_release:查询当前生产图谱版本。
  • find_roles_by_skill:根据技能规范名反查岗位。

当前图谱只保存职业、岗位、技能、任务、工具和发布版本信息。候选人和简历数据不在当前图谱,也不会由这些工具查询。

安全边界

  • 所有查询均为包内固定的参数化只读查询,不提供任意 Cypher。
  • 除职业分类层级外,所有业务关系都限定到唯一的生产活动版本。
  • 凭据只应通过运行时环境变量提供,不要写入命令参数、源码、镜像或配置文件。
  • 配置对象会遮蔽密码,日志不会输出环境变量值或底层异常详情。
  • 生产部署应优先使用权限最小化的只读数据库账号;固定查询不能替代数据库权限控制。
  • 输入文本长度和返回数量均有限制,单次 Neo4j 查询超时为 10 秒。

运行

需要设置以下运行时环境变量:

  • NEO4J_URI
  • NEO4J_USERNAME
  • NEO4J_PASSWORD
  • NEO4J_DATABASE

从 PyPI 以 stdio 模式启动:

uvx hlpp-recruit-graph-mcp==0.1.0

阿里云百炼自定义 MCP 的基础模式可使用相同命令,并在控制台的环境变量区域配置以上四项。该 MCP 可被 Agent 和 Workflow 共同引用。

Metadata

Release files for hlpp-recruit-graph-mcp 0.1.0

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