liepin-workbuddy-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| liepin_search_jobsB | 使用猎聘官方 CLI 搜索职位。薪资和筛选值按猎聘 CLI 支持格式原样传入；page 从 0 开始。 返回官方 CLI 原始 JSON，不假设字段结构。调用前应确认目标城市、岗位和薪资条件已明确。 |
| liepin_get_resumeA | 读取当前猎聘账号简历。仅返回猎聘官方 CLI 的原始 JSON 数据，不会保存副本。 |
| liepin_update_job_expectationA | 更新猎聘的求职期望。写操作必须在用户查看更新字段后获得其明确确认。 confirmation 必须精确为“确认更新猎聘求职期望”；record_id 必须来自简历查询结果。 支持 jobtitle、dq、wantSalaryLow、wantSalaryHigh、wantSalaryMonths、workType、workweek 和 practiceMonths。 |
| liepin_apply_jobA | 向猎聘投递指定职位。投递不可轻易撤回，必须先展示职位详情并取得用户明确确认。 job_id 和 job_kind 必须来自本次猎聘职位搜索结果；job_kind 不得猜测。confirmation 必须精确为“确认投递该猎聘职位”。 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
Each tool maps to a distinct action in the job-search workflow: search jobs, read resume, update job expectations, and apply to a job. There is no meaningful overlap between their purposes, and the write-operation confirmations further distinguish them.
All tool names follow a clear and consistent liepin_verb_noun snake_case pattern. The verbs (search, get, update, apply) accurately describe each operation.
Four tools is a well-scoped set for a focused job-search assistant, and every tool has a clear role. The count is neither bloated nor trivially thin.
The surface covers search, resume reading, expectation updates, and application submission, but notable lifecycle gaps remain. There is no dedicated job-detail retrieval, application status tracking, withdrawal, or resume update operation, which may limit agents after submission.