mcp-registry/io.github.landedjobs/landed · v0.1.1
Also listed as glama/landedjobs/landed-mcp-server
As of 2026-10-17 09:19 UTC, the Landedjobs Landed MCP server is up with a Glimind reliability score of 92/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks. It had 1 outage in 90 days, with a median recovery of 2 minutes.
Search AI-native jobs, inspect application forms, and fetch free interview-prep resources.
Claude Code
claude mcp add --transport http landedjobs-landed-mcp-server https://mcp.landed.jobs/mcp
Claude Desktop · Windsurf · Cline (mcpServers JSON)
{
"mcpServers": {
"landedjobs-landed-mcp-server": {
"type": "http",
"url": "https://mcp.landed.jobs/mcp"
}
}
}
Third-party server, listed as discovered. Review its source before installing.
3 of 3 tool(s) carry no readOnlyHint/destructiveHint annotations.
Annotate read-only tools with {"readOnlyHint": true}. Agents and gateways can then run them without a confirmation prompt, and route around destructive ones.
Handshake + tools/list takes ~2,512 ms.
Serve tools/list from memory, keep the process warm, and host close to your users. Every new agent session pays this before its first call.
No tool declares an outputSchema.
Declare outputSchema and return structuredContent (MCP 2025-06-18+). Agents can then parse results without guessing, and chain tools reliably.
Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. All of them as JSON: /v1/readiness/mcp-registry%2Fio.github.landedjobs%2Flanded/fixes
{
"name": "get_job_form",
"description": "Get the application form for a job (by the jobId returned from search_jobs), so you can prepare answers before the user applies.\nFields 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.",
"inputSchema": {
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"jobId"
],
"properties": {
"jobId": {
"type": "string",
"minLength": 1,
"description": "The jobId from a search_jobs result."
}
},
"additionalProperties": false
},
"annotations": {
"readOnlyHint": true
},
"title": "Get job application form"
}{
"name": "get_learning_content",
"description": "Get Landed's free learning content to help the user prepare — curated interview-prep repos (real questions, company guides, worked system designs), portfolio-project catalogs, and role roadmaps from the landedjobs GitHub org.\nFilter by topic, role, and/or category. Always free, for any caller.",
"inputSchema": {
"type": "object",
"$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
},
"annotations": {
"readOnlyHint": true
},
"title": "Get learning content"
}{
"name": "search_jobs",
"description": "Search Landed's live job corpus for AI-native roles and get a ranked, fit-scored shortlist.\nFill 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.\nFre",
"inputSchema": {
"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
},
"annotations": {
"readOnlyHint": true
},
"title": "Search jobs"
}Get an email or webhook when this server's readiness drops by 10+ points, tool-poisoning text appears, or a tool breaks:
curl -X POST https://glimind.com/v1/subscriptions -H 'content-type: application/json' -d '{"tools":["mcp-registry/io.github.landedjobs/landed"],"email":"[email protected]"}'Agents: watch_tool({"toolId": "mcp-registry/io.github.landedjobs/landed"}) over MCP.
search_jobs ~872 tokensget_learning_content ~236 tokensget_job_form ~195 tokensStatic checks of the advertised tools/list (schema, descriptions, annotations, tool-poisoning patterns, names, size) plus observed protocol, uptime, latency and contract changes. Read-only: no tool is ever called. Weights: schema 15, docs 20, safety 15, efficiency 15, compatibility 15, protocol 5, reliability 10, stability 5. Token counts are estimates (~3.6 characters per token).
Operator? Fix these, then re-check live. Embed the readiness badge:
[](https://glimind.com/server/mcp-registry%2Fio.github.landedjobs%2Flanded?ref=badge)
<a href="https://glimind.com/server/mcp-registry%2Fio.github.landedjobs%2Flanded?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.landedjobs%2Flanded.svg" alt="MCP agent-readiness"></a>
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.landedjobs%2Flanded.svg :target: https://glimind.com/server/mcp-registry%2Fio.github.landedjobs%2Flanded?ref=badge :alt: MCP agent-readiness
Glimind records every version of this server's tool definitions in a signed, append-only transparency log. Current manifest sha256:594b44a7b8a805c1…, first seen 2026-10-17, included at leaf 13957 of 17,300. Version history · verify what your client received.
Compare: most reliable other servers · most reliable knowledge servers · most reliable search servers
Glimind tells agents whether a server is up right now and how to call it, then fails over to a live alternative when it isn't.
Claude Code
claude mcp add --transport http glimind https://glimind.com/mcp
Claude Desktop · Windsurf · Cline (mcpServers JSON)
{
"mcpServers": {
"glimind": {
"type": "http",
"url": "https://glimind.com/mcp"
}
}
}
As of 2026-10-17 09:19 UTC, the Landedjobs Landed MCP server is up with a Glimind reliability score of 92/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks. It had 1 outage in 90 days, with a median recovery of 2 minutes.
Landedjobs Landed MCP server advertises 3 tools, including get_job_form, get_learning_content, search_jobs.
Point your MCP client at this streamable-http endpoint: https://mcp.landed.jobs/mcp
Glimind scanned all 3 tool definitions for tool-poisoning patterns — hidden or invisible characters, instructions that override the model, concealment from the user, requests to read credential or MCP config files, conversation exfiltration and cross-tool shadowing — and found none. This checks what the server tells the model, not what its code does; review the source before granting access to sensitive data.
Status page: 90-day uptime, every outage and how long it lasted.
Claim this listing to get the Verified operator marker, a remediation checklist and owner analytics, or embed the live badge from any of the tool pages above. Maintainers: alerts, deploy attestation and monthly reports.
Status is an automated estimate from Glimind's liveness checks (handshake and tool listing only; no tool is ever called) and may lag or differ from your network. Glimind is not affiliated with this server or its operator. Operator? Request a correction or opt out at https://glimind.com/opt-out.