Landed MCP Server
Search AI-native jobs, prepare applications, and study for interviews β from any MCP client.
README
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Landed MCP Server
Search AI-native jobs, prepare applications, and study for interviews β from any MCP client.
A public Model Context Protocol server that gives Claude, Cursor, VS Code, and any other MCP-capable agent live access to Landed's ranked, fit-scored job corpus.
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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:
- π Search jobs β ranked and fit-scored against a structured brief (role, skills, seniority, remote, compensation, industriesβ¦), or from a plain-English description.
- π Prepare applications β 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.
- π Study for interviews β 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 β 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 β just omit the Authorization
header. Add Authorization: Bearer lnd_live_β¦ (mint one at
Landed β Settings β 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 β Developer β 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 β Connectors β Add custom connector), you can instead pastehttps://mcp.landed.jobs/mcpdirectly.
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 β 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 β Agent mode β the tools appear under the π§ 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 β MCP Servers β 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" }
}
}
}
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"}'
Tools
| Tool | What it does | Anonymous cost |
|---|---|---|
search_jobs |
Ranked, fit-scored jobs. Fill structured fields (role, skills, remote, seniority, comp, industriesβ¦) or a free-text query (parsed into filters server-side). |
1 unit / job returned |
get_job_form |
Application form for a jobId, grouped standard / screening / eeo for answer prep. |
free |
get_learning_content |
Curated interview-prep, portfolio, and roadmap resources. | free |
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 β never raw JSON. In most clients they show up as slash-commands.
| Prompt | Args | What it guides |
|---|---|---|
find_jobs |
describe? |
Search, then present a ranked, fit-scored shortlist + next steps. |
prepare_application |
jobId |
Fetch the form; auto-fill standard, draft screening, leave EEO to the user. |
prep_for_role |
role? |
Pull learning resources for a role and suggest a study order. |
The server also ships always-on instructions (tool overview, presentation rules, freemium behavior)
that compliant clients load automatically.
Auth & pricing
| Tier | How | What you get |
|---|---|---|
| Anonymous | No header | A shared free budget of job-units. Metered by a hybrid of your IP and an issued X-Landed-Anon token (echoed on every response β resend it to keep your budget across sessions). |
| Authenticated | Authorization: Bearer lnd_live_β¦ |
Unlimited search, personalized to your saved brief + profile. Mint a token at Landed β Settings β API tokens. |
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 β it holds no database, no ranking engine, and no job data.
MCP client landed-mcp (this repo) Landed API
βββββββββββββββ HTTP ββββββββββββββββββββββββββ HTTPS ββββββββββββββββββββββββββ
β Claude / β ββββββββΆ β β’ MCP protocol + tools β βββββββΆ β β’ search engine β
β Cursor / β /mcp β β’ forwards caller credsβ β β’ job corpus + forms β
β VS Code β¦ β ββββββββ β β’ local learning list β βββββββ β β’ auth Β· freemium meterβ
βββββββββββββββ ββββββββββββββββββββββββββ ββββββββββββββββββββββββββ
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) β 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 β₯ 20
- pnpm (
npm i -g pnpm) - A Landed API base URL and its shared internal secret
Run
git clone git@github.com:landedjobs/landed-mcp.git
cd landed-mcp
pnpm install
cp .env.example .env # then fill in the values below
pnpm dev # hot-reload dev server
# β [mcp] listening on :8090 β POST /mcp β https://api.landed.jobs/api/v1
For production: pnpm start.
Environment variables
| Variable | Required | Default | Description |
|---|---|---|---|
LANDED_API_BASE |
β | http://localhost:8000/api/v1 |
Hosted Landed API base, including the /api/v1 prefix. |
LANDED_INTERNAL_SECRET |
β | β | Shared secret authenticating this proxy to the API (must match the server's INTERNAL_SERVICE_SECRET). |
PORT |
8090 |
HTTP port to listen on. | |
CORS_ORIGINS |
* |
Comma-separated allowlist of origins, or *. |
|
RATE_LIMIT_PER_MIN |
60 |
Per-IP first-line request cap. The API's freemium meter is the real economic cap. |
Endpoints
| Method | Path | Purpose |
|---|---|---|
POST |
/mcp |
MCP Streamable HTTP endpoint (stateless). |
GET |
/healthz |
Liveness probe ({ "ok": true }). |
Development
pnpm dev # watch + reload
pnpm check-types # tsc --noEmit
pnpm start # run once
Project layout
src/
βββ index.ts # bootstrap: start the HTTP server
βββ config/ # env β typed config
βββ http/ # express shell + per-IP rate limiter
βββ services/api-client.ts # typed fetch client β Landed API
βββ types.ts # the API response contract (owned here)
βββ mcp/
βββ server.ts # instructions + tool/prompt registration
βββ prompts.ts # find_jobs / prepare_application / prep_for_role
βββ catalog/learning.ts # static, public learning resources
βββ tools/ # search_jobs Β· get_job_form Β· get_learning_content
Stack: TypeScript Β· Express Β· @modelcontextprotocol/sdk Β· Zod. No database, no build step (runs on tsx).
Contributing
Issues and PRs welcome β bug fixes, new client setup guides, and learning-catalog additions especially.
Please run pnpm check-types before opening a PR.
License
MIT Β© Landed
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