Landed MCP Server
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[](LICENSE)
[](https://modelcontextprotocol.io)
[](https://smithery.ai/servers/landedjobs/landed)
[](#claude-desktop)
[](#cursor)
**Search AI-native jobs, prepare applications, and study for interviews β from any MCP client.**
A public [Model Context Protocol](https://modelcontextprotocol.io) server giving Claude, Cursor, VS Code, and any MCP-capable agent live access to [Landed](https://landed.jobs)'s ranked, fit-scored job corpus.
*Maintained by [Landed](https://landed.jobs) β daily AI-native job matches, agent help with every application, and mock-interview prep.*
</div>
---
## 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](https://landed.jobs)) for unlimited, brief-personalized search.
### Claude Code
The one-liner (CLI):
```bash
# 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:
```jsonc
{
"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`](https://www.npmjs.com/package/mcp-remote).
> If your build has native **Custom Connectors** (Settings β Connectors β *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):
```jsonc
{
"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`:
```jsonc
{
"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`:
```jsonc
{
"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`:
```jsonc
{
"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):
```jsonc
{
"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:
```bash
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](https://registry.modelcontextprotocol.io) as
`io.github.landedjobs/landed`, and on [Smithery](https://smithery.ai/servers/landedjobs/landed) as
`landedjobs/landed`. Clients that read either registry can discover and install it without any
manual configuration.
---
## Tools
| Tool | What it does | Anonymous cost |
|------|--------------|:---:|
| `search_jobs` | Ranked, fit-scored jobs. Supports physical city/country labels plus canonical remote-eligibility country/region codes; free text is parsed 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.
### 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
| Tier | How | What you get |
|------|-----|--------------|
| **Anonymous** | No header | A free budget of job-units **that resets every day at 00:00 UTC**. 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](https://landed.jobs). |
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`](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
```bash
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`.
### 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.
```bash
docker build -t landed-mcp .
docker run -i --rm landed-mcp
```
The image runs the stdio server against the hosted API.
### 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
```bash
pnpm dev # watch + reload
pnpm check-types # tsc --noEmit
pnpm test # deterministic input-contract tests
pnpm start # run once
```
The repository includes official MCP Registry metadata in [`server.json`](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/
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`](https://github.com/modelcontextprotocol/typescript-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` and `pnpm test` before opening a PR. For private vulnerability reports,
follow [SECURITY.md](SECURITY.md).
## License
[MIT](LICENSE) Β© Landed
TDQS
Scored across 3 tools
Each tool targets a distinct stage of the job-search workflow: discovery (search_jobs), application preparation (get_job_form), and learning resources (get_learning_content). There is no meaningful overlap, and the dependency between search_jobs and get_job_form is explicitly documented.
All three names follow a consistent snake_case verb_noun convention (search_jobs, get_job_form, get_learning_content). The verb variation between search and get maps cleanly to distinct operations rather than inconsistency.
Three tools is on the thin side for a job platform, but each has a clear, non-redundant role within a focused prep-and-discovery scope. It reads as intentionally minimal rather than an incomplete afterthought.
The surface covers discovery, form inspection, and learning content, but stops short of core lifecycle operations like actually submitting an application, saving/bookmarking jobs, or managing a candidate profile. These gaps may force agents into dead ends when users want to act rather than just prepare.