Landed

What is this?

Landed MCP connects your AI assistant to a curated, continuously-updated corpus of AI-native roles (AI Engineer, ML Engineer, RAG Engineer, AI PM, GTM Engineer, and more). Instead of copy-pasting job boards into a chat, your agent can:

• 🔎 Search jobs — ranked and fit-scored against a structured brief (role, skills, seniority, remote, compensation, industries…), or from a plain-English description.
• 📝 Prepare applications — pull a job's real application form, grouped into standard / screening / EEO fields, so the agent can auto-fill and draft answers before you apply.
• 🎓 Study for interviews — fetch free, curated interview-prep, portfolio, and roadmap resources.

It speaks Streamable HTTP and works with any MCP client. Use the hosted server in seconds, or self-host this repo against your own Landed API.

Free to start. Anonymous callers get a shared free budget — no signup, no key. Add an API token for unlimited, personalized results.

Quick start (hosted)

The hosted server lives at:

https://mcp.landed.jobs/mcp

Pick your client below. Everything works anonymously out of the box — just omit the Authorization header. Add Authorization: Bearer lnd_live_… (mint one at Landed → Settings → API tokens) for unlimited, brief-personalized search.

Claude Code

The one-liner (CLI):

# Anonymous (free tier)claude mcp add --transport http landed-jobs https://mcp.landed.jobs/mcp
# Authenticated (unlimited, personalized)claude mcp add --transport http landed-jobs https://mcp.landed.jobs/mcp \  --header "Authorization: Bearer lnd_live_your_token_here"

Then in a session: /mcp to confirm it's connected, and try the find_jobs prompt.

Claude Desktop

Open Settings → Developer → Edit Config (this opens claude_desktop_config.json), then add:

{  "mcpServers": {    "landed-jobs": {      "command": "npx",      "args": [        "-y", "mcp-remote", "https://mcp.landed.jobs/mcp",        "--header", "Authorization: Bearer lnd_live_your_token_here"      ]    }  }}

Restart Claude Desktop. Drop the --header line for the free anonymous tier.

Claude Desktop bridges remote HTTP servers through mcp-remote. If your build has native Custom Connectors (Settings → Connectors → Add custom connector), you can instead paste https://mcp.landed.jobs/mcp directly.

Cursor

Create .cursor/mcp.json in your project (or ~/.cursor/mcp.json globally):

{  "mcpServers": {    "landed-jobs": {      "url": "https://mcp.landed.jobs/mcp",      "headers": { "Authorization": "Bearer lnd_live_your_token_here" }    }  }}

Then enable landed-jobs under Settings → MCP. Omit headers for the free tier.

VS Code (GitHub Copilot / Agent Mode)

Create .vscode/mcp.json:

{  "servers": {    "landed-jobs": {      "type": "http",      "url": "https://mcp.landed.jobs/mcp",      "headers": { "Authorization": "Bearer lnd_live_your_token_here" }    }  }}

Open the Chat view → Agent mode → the tools appear under the 🔧 picker.

Windsurf

Edit ~/.codeium/windsurf/mcp_config.json:

{  "mcpServers": {    "landed-jobs": {      "serverUrl": "https://mcp.landed.jobs/mcp",      "headers": { "Authorization": "Bearer lnd_live_your_token_here" }    }  }}

Cline (VS Code extension)

Open Cline → MCP Servers → Configure, or edit cline_mcp_settings.json:

{  "mcpServers": {    "landed-jobs": {      "type": "streamableHttp",      "url": "https://mcp.landed.jobs/mcp",      "headers": { "Authorization": "Bearer lnd_live_your_token_here" }    }  }}

Gemini CLI

Edit ~/.gemini/settings.json (or .gemini/settings.json in your project):

{  "mcpServers": {    "landed-jobs": {      "httpUrl": "https://mcp.landed.jobs/mcp",      "headers": { "Authorization": "Bearer lnd_live_your_token_here" }    }  }}

Restart gemini and run /mcp to see the tools. Omit headers for the free tier.

Any other MCP client

Point it at https://mcp.landed.jobs/mcp using the Streamable HTTP transport. Pass Authorization: Bearer <token> if you have one. Quick sanity check from a terminal:

curl -s -X POST https://mcp.landed.jobs/mcp \  -H 'content-type: application/json' \  -H 'accept: application/json, text/event-stream' \  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

Registries

Landed is listed on the Official MCP Registry as io.github.landedjobs/landed, and on Smithery as landedjobs/landed. Clients that read either registry can discover and install it without any manual configuration.

Tools

Prompts (guided workflows)

MCP prompts are reusable, user-invocable skills that teach the agent how to chain the tools and present results as a clean shortlist — never raw JSON. In most clients they show up as slash-commands.

The server also ships always-on instructions (tool overview, presentation rules, freemium behavior) that compliant clients load automatically.

Location parameters

Location eligibility is structured rather than keyword-matched:

• locations: physical cities/countries, with country included for ambiguous cities, e.g. ["Bengaluru, India"]
• countryCodes: ISO alpha-2 remote/base eligibility, e.g. ["IN"]
• regionCodes: apac, emea, or americas
• workAuthorizationCountryCodes: ISO alpha-2 work-authorization countries
• remote: work mode (remote, hybrid, or onsite)

The hosted API resolves human city labels to stable place identities. Callers must not invent place IDs. The legacy regions field remains accepted for compatibility.

Auth & pricing

Every result carries a freemium block so your agent can see how much budget is left and how to lift the cap.

Architecture

This repository is a thin, self-hostable proxy. It speaks MCP and forwards to the hosted Landed API — it holds no database, no ranking engine, and no job data.

   MCP client                 landed-mcp (this repo)              Landed API ┌─────────────┐   HTTP    ┌────────────────────────┐  HTTPS   ┌────────────────────────┐ │ Claude /    │ ───────▶  │ • MCP protocol + tools │ ──────▶  │ • search engine        │ │ Cursor /    │  /mcp     │ • forwards caller creds│          │ • job corpus + forms   │ │ VS Code …   │ ◀───────  │ • local learning list  │ ◀──────  │ • auth · freemium meter│ └─────────────┘           └────────────────────────┘          └────────────────────────┘

The proxy resolves nothing itself: it forwards the caller's API token (or an anonymous id) to the Landed API, which validates it, runs the search, meters usage, and returns results plus a freemium block the proxy relays verbatim. The get_learning_content catalog is static and lives in this repo (src/mcp/catalog/learning.ts) — that tool works with no backend at all.

Self-host

Run your own proxy against the Landed API (or your own deployment of it).

Prerequisites

• Node.js ≥ 20
• pnpm (npm i -g pnpm)
• A Landed API base URL and its shared internal secret

Run

git clone [email protected]:landedjobs/landed-mcp.gitcd landed-mcppnpm installcp .env.example .env       # then fill in the values belowpnpm dev                   # hot-reload dev server# → [mcp] listening on :8090 — POST /mcp → https://api.landed.jobs/api/v1

For production: pnpm start.

Stdio and Docker

For clients that start the server as a process, pnpm start:stdio speaks MCP over stdio instead of HTTP. Set LANDED_API_TOKEN to use your own API token; without it you get the anonymous free budget.

docker build -t landed-mcp .docker run -i --rm landed-mcp

The image runs the stdio server against the hosted API.

Environment variables

Endpoints

Development

pnpm dev           # watch + reloadpnpm check-types   # tsc --noEmitpnpm test          # deterministic input-contract testspnpm start         # run once

The repository includes official MCP Registry metadata in server.json. It describes the public Streamable HTTP endpoint but does not imply that the server has been submitted to or accepted by any external registry.

Project layout

src/├── index.ts                 # bootstrap: start the HTTP server├── config/                  # env → typed config├── http/                    # express shell + per-IP rate limiter├── services/api-client.ts   # typed fetch client → Landed API├── types.ts                 # the API response contract (owned here)└── mcp/    ├── server.ts            # instructions + tool/prompt registration    ├── prompts.ts           # find_jobs / prepare_application / prep_for_role    ├── catalog/learning.ts  # static, public learning resources    └── tools/               # search_jobs · get_job_form · get_learning_content

Stack: TypeScript · Express · @modelcontextprotocol/sdk · Zod. No database, no build step (runs on tsx).

Contributing

Issues and PRs welcome — bug fixes, new client setup guides, and learning-catalog additions especially. Please run pnpm check-types and pnpm test before opening a PR. For private vulnerability reports, follow SECURITY.md.

License

MIT © Landed