AI Dev Jobs

com.aidevboard由 aidevboard.com 发布官方发布者v1.6.2更新于 Oct 24, 2026

MCP for 8,700+ current AI jobs. 13 tools: search, match, salaries, companies, commerce quotes.

已验证Streamable HTTP可网页运行效率与工作流数据与分析商业与电商

概览

AI 生成的概览

一个 AI/ML 招聘 MCP 服务器,让助手搜索 8,700 多个精选职位、比较薪资、按候选人画像匹配岗位,并走证据驱动的简历与申请流程。

可以做什么
搜索并阅读 AI/ML 职位,可按标签、工作方式、远程资格、经验级别、薪资和关键词筛选,并查看相似职位与完整职位详情。浏览雇主:公司列表、公司档案、招聘最活跃的公司和索引统计。按标签、级别、工作方式或公司查询薪资基准。将候选人画像与在招职位匹配,并列出可用技能标签。生成针对单个职位的 ATS 简历预览,并分析申请准备度。凭已验证的候选人密钥批准编译产物并提交申请,随后记录结果并回应雇主报告的面试结果。
适用场景
适合正在求职或研究 AI/ML 市场的人,让助手搜索职位、比较薪资、筛选雇主,或通过结构化、基于证据的流程起草并提交申请。
运行要求
远程 streamable HTTP 端点,无需本地运行时或软件包。发现类工具未声明需要认证;申请流程需要经电子邮件验证的候选人密钥,提交还需要 API 密钥。需要网络访问。
安装前请注意
该服务器涉及求职申请:编译简历、批准产物哈希并向雇主提交,会把候选人证据和个人数据发送给第三方。提交申请需要明确的主体授权和 API 密钥。部分雇主侧操作可能产生固定的雇主费用;据称候选人和代理不付费。薪资与结果数据为申报数据,未经核实。

安装

在 SourceWeft 中

  1. 打开 控制台中的 AI Dev Jobs,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/com.aidevboard%2Fjobs/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "ai-dev-jobs": {
      "type": "http",
      "url": "https://aidevboard.com/mcp"
    }
  }
}

工具

20

search_jobs

Search AI/ML Jobs

Search curated AI/ML engineering roles for free. Filter by tags (e.g. llm, pytorch), workplace (remote/hybrid/onsite), global remote eligibility, experience level, salary range, or keyword. After selecting a role, candidates may use compile_job_specific_resume for a $0 transient ATS-oriented preview without identity; a verified key is required only to save an approval-bound artifact. The employer outcome pilot never affects organic results.

输入参数tagslevellimitquerycompanyjob_typelocationworkplacesalary_minglobal_remoteposted_within_days

get_job

Get Job Details

Fetch full job posting by ID or slug: title, description, requirements, salary, workplace, tags, apply URL. Use after search_jobs to read a specific listing.

输入参数id必填

list_companies

List Top Hiring Companies

Returns top AI/ML companies by active role count, optionally with average salary. Useful for discovering who is hiring in AI.

输入参数limit

get_company

Get Company Profile

Get detailed profile for an AI company: total open roles, salary range, top tags/skills, workplace distribution, and apply URL. Use after list_companies or search_jobs to learn more about a specific employer.

输入参数slug必填

get_stats

Get Index Stats

Current AI Dev Jobs index statistics: total active jobs, companies hiring, median salary, new jobs today / this week, and the top 10 trending tags across jobs posted in the last 7 days. This is free index data and does not create a payment handoff.

无需输入参数。

match_jobs

Match Jobs to Candidate Profile

Rank active AI/ML jobs against a candidate profile for free. Scoring combines tag overlap (+2 per match), salary overlap (+3), workplace/level/type/location matches, and description keyword hits. After selecting a role, candidates may use compile_job_specific_resume for a $0 transient ATS-oriented preview without identity; a verified key is required only to save an approval-bound artifact. The employer outcome pilot never affects these matches.

输入参数levellimitskills必填job_typelocationworkplacesalary_maxsalary_min

get_salary_data

Get Salary Benchmarks

Salary benchmarks for AI/ML roles. Filter by tag (e.g. 'llm', 'pytorch'), experience level, workplace type, or company. Returns average, median, p25, p75, min, max, and sample count. Useful for compensation research and negotiation.

输入参数taglevelcompanyworkplace

get_similar_jobs

Get Similar Jobs

Given a job ID or slug, return active jobs that match on tag overlap, same workplace, level, and job type. Ranked by similarity score (tag overlap weighted 3x). Use after search_jobs to surface nearby roles — matches the /jobs/{id}/similar REST endpoint.

输入参数id必填limit

list_tags

List Available Tags

Returns all available job tags/skills with the count of active jobs for each. Use to discover what tags are available for search_jobs filtering.

无需输入参数。

analyze_application_readiness

Analyze Application Readiness

Analyze candidate-verified evidence against one active job for $0 without requiring identity. The transient response reports covered and unsupported public job signals without an acceptance probability, does not persist candidate evidence, does not submit an application, and rejects hidden screening-model instructions.

输入参数job_id必填candidate_skillsevidence_bullets

compile_job_specific_resume

Compile a Job-Specific Resume Draft

Compile a $0 candidate-controlled ATS-oriented plain-text Markdown resume for one active job using only candidate-verified evidence. Without identity, returns a transient non-persisted preview that cannot be approved or submitted. With a verified candidate key, saves an immutable draft hash plus a machine-readable candidate_review handoff and requires the agent to pause for explicit human review. Never submits or authorizes an application.

输入参数job_id必填candidate_skillsevidence_bullets必填

approve_compiled_application

Approve an Exact Compiled Application

Create a short-lived, single-use authorization for one email-verified candidate, one exact compiled artifact hash, and one unchanged active job. Requires principal_authorized=true, costs the candidate $0, and does not submit an application.

输入参数artifact_id必填artifact_hash必填principal_authorized必填

apply_to_job

Submit a Confirmed Job Application

Submit only the exact, visible compiled artifact after the email-verified human principal approves its hash. Requires the single-use approval authorization, an API key, and principal_authorized=true. Candidates and agents are never charged.

输入参数job_id必填compiled_artifact_id必填principal_authorized必填compiled_artifact_hash必填compiled_authorization_id必填

record_my_application_outcome

Record My Screening Progress

Record one email-verified candidate's explicitly authorized, fixed-taxonomy application outcome for $0. The receipt is candidate-reported, not employer-verified, creates no acceptance-rate claim, and never changes organic ranking.

输入参数outcome必填application_id必填principal_authorized必填

list_my_interview_outcomes

List My Interview Confirmations

List employer-reported interview outcomes for applications submitted with the authenticated developer API key. No candidate fee is ever created.

无需输入参数。

respond_to_interview_outcome

Confirm or Dispute an Interview Outcome

Record the authenticated candidate's independent response to an employer-reported interview. Requires explicit principal authorization. Confirmation can make a fixed employer fee billable; candidates and agents pay $0.

输入参数outcome_id必填principal_authorized必填candidate_confirms_interview必填

list_products

List Outcome-Based Employer Pilot

Returns AI Dev Board's only agent-readable commercial offer: the employer-funded Verified Interview Pilot. Candidates and agents pay $0; job discovery and the evidence-backed application workflow are free. The pilot is billable only after an owner-approved program, a verified candidate-authorized application, and independent employer and candidate interview confirmation. It never changes organic ranking.

无需输入参数。

quote_product

Quote Product

Returns the deterministic, outcome-only terms for AI Dev Board's Verified Interview Pilot. No candidate or agent is charged; legacy package, sponsorship, and Dossier product IDs are retired from agent commerce.

输入参数product_id

start_checkout

Request Outcome-Based Employer Pilot Review

Returns a non-charging owner-review request template for the Verified Interview Pilot only. It creates no request, program, candidate action, invoice, or charge. Employer identity, exact-role authority, and acknowledgement of the capped 30-day terms are required before a separate review request may be submitted.

输入参数companyproduct_idwork_emailemployer_namepilot_role_referencepilot_authority_assertedpilot_terms_acknowledged

版本历史

1
  1. v1.6.2最新Sep 16, 2026

评分

已满足适用检查项的 83%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通必需25 分
  • 已声明认证方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 图标10 分
  • 文档15 分

    请声明包含 README 的 GitHub 仓库,或在 OAuth 受保护资源元数据中提供 resource_documentation。

  • 许可证不适用

    托管服务按其提供方的条款使用,因此这里不要求许可证。此检查项不计入百分比。