Landed

Search AI-native jobs, inspect application forms, and fetch free interview-prep resources.

我該用這個嗎

品質與安全性

A
說明品質
100%
結構描述完整度
93%
命名品質
100%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

根據工具定義與協定合規性的自動化分析。

上下文成本

~1,167Token(工具定義)
~3.2 KB典型回應大小
中等的注意力影響(128k 上下文的 0.91%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "landed": {
      "url": "https://mcp.landed.jobs/mcp"
    }
  }
}

遠端端點

https://mcp.landed.jobs/mcpstreamable-http

它能做什麼

工具清單

工具(3)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢search_jobs(query, role, seniority, skills, locations, ...)

Search Landed's live job corpus for AI-native roles and get a ranked, fit-scored shortlist. Fill the structured fields (role, skills, work mode, physical locations, remote-eligibility countries/regions, seniority, comp, industries…) from the user's request — they drive the ranking. Physical locations are resolved to stable places; use ISO country codes and canonical region codes when known. You may also pass a free-text "query"; it's parsed into the same filters and used as a semantic nudge. Free tier: up to a shared budget of jobs for anonymous callers (each returned job counts). Authenticated callers (Authorization: Bearer <API token>) get unlimited, brief-personalized results.

輸入結構描述

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "maxLength": 400,
      "description": "Free-text description of the ideal job, in the user’s own words. Parsed server-side into structured filters; also used as a semantic nudge."
    },
    "role": {
      "type": "string",
      "maxLength": 120,
      "description": "Target role or title family, e.g. \"AI Engineer\", \"RAG Engineer\", \"Data Scientist\"."
    },
    "seniority": {
      "type": "string",
      "maxLength": 60,
      "description": "Seniority target, e.g. \"junior\", \"mid\", \"senior\", \"staff\", \"lead\"."
    },
    "skills": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 30,
      "description": "Core skills / technologies the role should involve, e.g. [\"RAG\", \"LangChain\", \"Python\"]."
    },
    "locations": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 20,
      "description": "Preferred physical cities/countries as exact labels; include country for ambiguous cities, e.g. [\"Bengaluru, India\", \"London, UK\"]. Resolved server-side to stable place IDs."
    },
    "regions": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 20,
      "description": "Legacy human-readable remote eligibility regions/countries, e.g. [\"APAC\", \"India\"]. Prefer regionCodes/countryCodes when known."
    },
    "countryCodes": {
      "type": "array",
      "items": {
        "type": "string",
        "pattern": "^[A-Z]{2}$"
      },
      "maxItems": 20,
      "description": "ISO 3166-1 alpha-2 countries where the job may be based or remotely eligible, e.g. [\"IN\"]."
    },
    "regionCodes": {
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "apac",
          "emea",
          "americas"
        ]
      },
      "maxItems": 3,
      "description": "Canonical remote eligibility regions."
    },
    "workAuthorizationCountryCodes": {
      "type": "array",
      "items": {
        "type": "string",
        "pattern": "^[A-Z]{2}$"
      },
      "maxItems": 20,
      "description": "ISO country codes where the candidate is authorized to work."
    },
    "remote": {
      "type": "string",
      "enum": [
        "remote",
        "hybrid",
        "onsite"
      ],
      "description": "Work mode preference."
    },
    "minComp": {
      "type": "number",
      "description": "Minimum acceptable base compensation (numeric)."
    },
    "currency": {
      "type": "string",
      "maxLength": 8,
      "description": "Currency for minComp, e.g. \"USD\"."
    },
    "industries": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 20,
      "description": "Preferred company industries / sectors."
    },
    "companyStages": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 20,
      "description": "Preferred company stages, e.g. [\"seed\", \"series-a\", \"public\"]."
    },
    "avoid": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 20,
      "description": "Companies or sectors to avoid."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 20,
      "description": "How many jobs to return."
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_job_form(jobId)

Get the application form for a job (by the jobId returned from search_jobs), so you can prepare answers before the user applies. Fields are grouped: "standard" (auto-fillable from a candidate profile via mapsTo), "screening" (free-text questions to draft from the résumé/experience), and "eeo" (leave to the user). Always free — a job's form is only reachable once you've already found the job via search_jobs.

輸入結構描述

{
  "type": "object",
  "properties": {
    "jobId": {
      "type": "string",
      "minLength": 1,
      "description": "The jobId from a search_jobs result."
    }
  },
  "required": [
    "jobId"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_learning_content(topic, role, category)

Get Landed's free learning content to help the user prepare — curated interview-prep repos (real questions, company guides, worked system designs), portfolio-project catalogs, and role roadmaps from the landedjobs GitHub org. Filter by topic, role, and/or category. Always free, for any caller.

輸入結構描述

{
  "type": "object",
  "properties": {
    "topic": {
      "type": "string",
      "maxLength": 120,
      "description": "Free-text topic, e.g. \"RAG\", \"system design\", \"evals\"."
    },
    "role": {
      "type": "string",
      "maxLength": 120,
      "description": "Target role, e.g. \"AI Engineer\", \"AI PM\", \"GTM Engineer\"."
    },
    "category": {
      "type": "string",
      "enum": [
        "interview-prep",
        "portfolio",
        "roadmap",
        "jobs"
      ],
      "description": "Restrict to one category of content."
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

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