Landed

Working · 2.4 s

io.github.landedjobs/landedv0.1.1

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

Source Website Registry entry

Maintain this server? Claim it

Try it

Call this server's tools from your browser. Nothing to install.

https://mcp.landed.jobs/mcp

Requests go through mcptry because browsers can't call most MCP servers directly. Header values are sent to the server for that request only and are never stored or logged.

Tool list from our last check. Connect live to refresh it.

get_job_form

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.

jobIdstring, required

The jobId from a search_jobs result.

This tool isn't marked read-only, so it may change something on the server or in an account you connected.

I understand, run it anyway

Tools (3)

get_job_form

Argument	Type	Description
jobId*	string	The jobId from a search_jobs result.

Input schema (JSON)

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

get_learning_content

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.

Argument	Type	Description
role	string	Target role, e.g. "AI Engineer", "AI PM", "GTM Engineer".
topic	string	Free-text topic, e.g. "RAG", "system design", "evals".
category	string	Restrict to one category of content.

Input schema (JSON)

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

search_jobs

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.

Argument	Type	Description
role	string	Target role or title family, e.g. "AI Engineer", "RAG Engineer", "Data Scientist".
avoid	array	Companies or sectors to avoid.
limit	integer	How many jobs to return.
query	string	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.
remote	string	Work mode preference.
skills	array	Core skills / technologies the role should involve, e.g. ["RAG", "LangChain", "Python"].
minComp	number	Minimum acceptable base compensation (numeric).

{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "properties": { "role": { "type": "string", "maxLength": 120, "description": "Target role or title family, e.g. \"AI Engineer\", \"RAG Engineer\", \"Data Scientist\"." }, "avoid": { "type": "array", "items": { "type": "string" }, "maxItems": 20, "description": "Companies or sectors to avoid." }, "limit": { "type": "integer", "maximum": 20, "minimum": 1, "description": "How many jobs to return." }, "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." }, "remote": { "enum": [ "remote", "hybrid", "onsite" ], "type": "string", "description": "Work mode preference." }, "skills": { "type": "array", "items": { "type": "string" }, "maxItems": 30, "description": "Core skills / technologies the role should involve, e.g. [\"RAG\", \"LangChain\", \"Python\"]." }, "minComp": { "type": "number", "description": "Minimum acceptable base compensation (numeric)." }, "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." }, "currency": { "type": "string", "maxLength": 8, "description": "Currency for minComp, e.g. \"USD\"." }, "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." }, "seniority": { "type": "string", "maxLength": 60, "description": "Seniority target, e.g. \"junior\", \"mid\", \"senior\", \"staff\", \"lead\"." }, "industries": { "type": "array", "items": { "type": "string" }, "maxItems": 20, "description": "Preferred company industries / sectors." }, "regionCodes": { "type": "array", "items": { "enum": [ "apac", "emea", "americas" ], "type": "string" }, "maxItems": 3, "description": "Canonical remote eligibility regions." }, "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\"]." }, "companyStages": { "type": "array", "items": { "type": "string" }, "maxItems": 20, "description": "Preferred company stages, e.g. [\"seed\", \"series-a\", \"public\"]." }, "workAuthorizationCountryCodes": { "type": "array", "items": { "type": "string", "pattern": "^[A-Z]{2}$" }, "maxItems": 20, "description": "ISO country codes where the candidate is authorized to work." } }, "additionalProperties": false }