Dreamwork
Job search for AI assistants: browse jobs, tailor resumes and cover letters, apply, and track applications. Public browsing needs no account; account tools follow your Dreamwork plan.
Hosted MCP Server
npx add-mcp 'https://mcp.dreamworkhq.com/mcp'Installs into Claude Code, Codex, Cursor and more
Documentation
Dreamwork's public MCP source lives here. The client calls the hosted Dreamwork API; it does not include the API, database, workers, or hosted OAuth service.
Connect over HTTP at https://mcp.dreamworkhq.com/mcp, or run the stdio client
with npx -y @dreamworkhq/mcp. Public job browsing works without a key.
For source development, use Node 22 and pnpm 10.23.0:
pnpm install --frozen-lockfile
pnpm check
pnpm test
pnpm build
pnpm test:package
The MCP client is in apps/mcp. packages/api-contracts and
packages/assistant-contracts contain its source dependencies; they are bundled
into the published CLI. source-export.json records the release's source commit.
See CONTRIBUTING.md for how changes reach a release.
@dreamworkhq/mcp
MCP server for Dreamwork: job-search tools for AI agents. Any MCP client (Claude Desktop, Cursor, the MCP Inspector) can use it to find roles, rank them, tailor applications, apply, and track outcomes for one person over time.
This server is a thin gateway: it calls the Dreamwork API over HTTPS and holds no database access of its own. Transport is stdio, and stdout carries only JSON-RPC frames.
Install
There is no install step. MCP clients run it on demand with npx. The examples below use npx -y @dreamworkhq/mcp.
No key or account is needed to start. Without DREAMWORK_API_KEY the server
runs in free guest mode, where your agent can search and read every listing.
The env blocks below are optional; add a key when you want the account
tools (see Guest mode and API keys).
Configure
Claude Desktop
Add an entry to your claude_desktop_config.json
(~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"dreamwork": {
"command": "npx",
"args": ["-y", "@dreamworkhq/mcp"],
"env": {
"DREAMWORK_API_KEY": "sk_..."
}
}
}
}
Restart Claude Desktop after editing. Put credentials in the env block. Do not
wrap command in a shell or an env-loader such as dotenvx run -- …: on a stdio
server, any banner the wrapper prints to stdout corrupts the JSON-RPC stream and
hangs tool calls.
Cursor and other clients
Any stdio MCP client works. Cursor uses the same config shown above: point the
command at npx -y @dreamworkhq/mcp and pass DREAMWORK_API_KEY in the
environment. To check the setup with the Inspector:
DREAMWORK_API_KEY=sk_... npx @modelcontextprotocol/inspector npx -y @dreamworkhq/mcp
Hosted endpoint
Dreamwork also serves these tools over Streamable HTTP at
https://mcp.dreamworkhq.com/mcp. In claude.ai, Claude Desktop, or ChatGPT,
add that URL as a custom connector and sign in to Dreamwork. There is nothing
to install and no key to paste. The consent screen asks which scopes the
connector gets.
Clients that set request headers can send an API key to the same URL instead. In Claude Code:
claude mcp add --transport http dreamwork https://mcp.dreamworkhq.com/mcp \
--header "Authorization: Bearer sk_..."
Guest mode and API keys
Guest mode is free and needs no account. With no key set, the server starts in
guest mode and exposes the public, read-only tools: browse_listings,
get_listing, get_platform_context, and get_upgrade_link. The server tells
the agent it is in guest mode, so the agent can say what works now. Account
tools answer with a short "No API key" message that lists the steps to get one.
An API key needs a free account. Matches ranked against your resume, saved jobs,
tailored materials, the pipeline, recruiter mail, and applying need an API key.
Any Dreamwork account can generate one, including the free plan. Your plan sets
the key's rate limit and usage allowances. Sign in at
dreamworkhq.com, open Profile, then MCP (or use
the Get a key button on the Agents page), then set the key as
DREAMWORK_API_KEY (format sk_...) and restart your MCP client.
When you generate a key you choose what it may do: read, write, apply, send mail. The profile page starts with all four selected; uncheck anything your agent should not do. A key can do less than you can, never more.
Environment variables
| Variable | Required | Default | Purpose |
|---|---|---|---|
DREAMWORK_API_KEY | For account tools | none | API key (sk_...). Unlocks pipeline, resume, apply, outreach, profile, interviews. |
DREAMWORK_API_URL | No | https://api.dreamworkhq.com | Override the API endpoint (local dev / self-host). |
DREAMWORK_UNREAD_NOTICES | No | on | off (also 0/false/no) stops tool results from carrying a note about unread recruiter mail. At most one check every five minutes; checking never marks mail read. |
JOBLESS_API_TOKEN and JOBLESS_API_URL are still accepted as backward-compatible
aliases for DREAMWORK_API_KEY and DREAMWORK_API_URL; prefer the DREAMWORK_
names for new configs.
Telemetry
To measure usage, the server generates an anonymous random install id (a
UUID) on first run and stores it under your OS state directory
($XDG_STATE_HOME/dreamwork/install-id, ~/.local/state/dreamwork/install-id on
Linux/macOS, or %LOCALAPPDATA%\dreamwork\install-id on Windows). It is a random
value, never derived from your hostname, username, or any machine attribute. It
counts unique installs of guest (unauthenticated) usage. It is written at
runtime on your machine, never at build or publish time.
Opt out by setting either environment variable:
DREAMWORK_TELEMETRY=0(alsofalse/no/off)DO_NOT_TRACK=1(the standard opt-out; alsotrue/yes/on)
With telemetry disabled, no install id is generated, read, or sent.
Tools
The typical flow: browse the public index, save roles to the pipeline, tailor
materials, apply, then track replies, interviews, and escalations. Call
get_platform_context first. It describes what Dreamwork can do, so the agent
picks the right workflow.
Public (no key):
browse_listings, get_listing, get_platform_context, get_upgrade_link
Assistant actions: one tool per capability in Dreamwork's assistant registry, each running through the same authorization ladder and receipt ledger the on-site assistant uses. A consequential one holds on its first call, answering with a summary and a confirmationToken; send that token back with identical arguments to go ahead.
apply, cancel_apply, confirm_hypothesis, dismiss_match, edit_answer, edit_cover_letter, edit_resume, forget_hypothesis, format_resume, generate_pack, get_application_documents, get_application_readiness, get_application_status, get_autopilot_settings, get_autopilot_status, get_career_record, get_communication_preferences, get_inbox, get_job, get_pack_status, get_pipeline, get_preferences, get_resume_download_link, get_task, get_unread_reminders, get_updates_since, get_usage, import_job, list_matches, list_tasks, mark_applied_offsite, mark_messages_read, move_pipeline, parse_preferences_text, prepare_applications, remember_hypothesis, replace_application_document, reply_to_recruiter, restore_material, save_application_answers, save_job, set_autopilot, start_checkout, strengthen_application, undo_last, update_autopilot_settings, update_communication_preferences, update_preferences
Direct product tools: routes with no registry action behind them.
add_contact, add_jobs, generate_outreach, generate_resume, get_application_materials, get_generated_resumes, get_profile, get_stats, list_contacts, list_escalations, list_interviews, reopen_application_materials, resolve_escalation, update_application_materials, update_profile, upload_resume
The server also offers five prompts, which hosts such as Claude Desktop and
Claude Code show as commands: morning_brief (what changed since you last
checked), find_and_prepare (search, pick, prepare materials),
apply_to_prepared (fill any missing answers, review, apply with
confirmation), interview_prep, and autopilot_setup.
Notes on a few tools:
- No tool sends mail or submits an application on its first call.
apply,reply_to_recruiter,set_autopilot,update_autopilot_settingsandstart_checkoutreturnheldwith a summary and aconfirmationToken, and act only when you send that token back with identical arguments. - 1.3.0 removed the 1.2.0 tools a registry action replaced:
search_jobsandlist_applications(useget_pipeline;browse_listingssearches the index),apply_to_job(apply),add_listing_to_pipeline(save_job),skip_job(dismiss_match), andsend_outreach.resolve_escalationonly dismisses or hands over; replies and resubmissions go throughreply_to_recruiterandapply. update_application_materialsandreopen_application_materialsare open to the Applications rollout cohort the API admits; outside it they return the API's own refusal.get_statsaggregates the signed-in candidate's own pipeline, so it needs a key like the rest.
Key scopes
An API key carries scopes, chosen when you generate it:
| Scope | What it unlocks |
|---|---|
read | Every read action: matches, pipeline, inbox, status, usage, receipts |
write | Cheap and queued writes: save, dismiss, move, edit materials, preferences, checkout links |
apply | Submitting an application, cancelling one that is still sending, and Autopilot |
send | Mailing a recruiter |
A scope gates every path to the act, direct routes included.
write is the floor for changing anything: a key without it is refused on any
request that is not a GET, HEAD, or OPTIONS, so a read key cannot rewrite
a profile or move the board by calling the route directly. A key without
apply is refused at apply, and also at
POST /jobs/:id/apply, the turbo-apply routes and the escalation routes. A key
without send is refused at reply_to_recruiter, at
POST /outreach/send and at POST /conversations/:id/reply. A direct call
answers 403 with
api_key_scope_required, the scope it wants, and a message saying what to do;
an assistant action answers action_not_authorized with the same next step.
A key can never manage keys, rotate the session token, or delete the account.
Those answer 403 session_required whatever it holds.
The profile page preselects all four scopes, and a key request that names no scopes gets read and write. A key created before scopes existed keeps everything it could already do.
Troubleshooting
- Tool calls hang / time out, but the handshake succeeds. Something is
writing non-JSON-RPC bytes to stdout. Make sure
commandisn't wrapped in an env-loader or shell that prints a banner, and update to the latest version (npx -y @dreamworkhq/mcp@latest; clear the npx cache withrm -rf ~/.npm/_npxif an old build is cached). stdout must carry only protocol frames. All server logging goes to stderr. - Every account tool says "No API key".
DREAMWORK_API_KEYisn't reaching the process. Confirm it's in theenvblock of your client config.
Development
pnpm --filter @dreamworkhq/mcp check # typecheck
pnpm --filter @dreamworkhq/mcp build # emit dist/
pnpm --filter @dreamworkhq/mcp test # unit tests
The stdio entrypoint is src/stdio.ts; tool definitions live in
src/mcp.ts; the HTTP API client is src/client.ts.
The server reads configuration from the process environment only. It does not
load a .env file. For local development export the vars in your shell (e.g.
DREAMWORK_API_URL=http://127.0.0.1:3000 pnpm --filter @dreamworkhq/mcp stdio).
Package-boundary decisions, tool-registration conventions
(registerDreamworkTool), error/versioning rules, and deferred review triggers
are recorded in ARCHITECTURE.md. The tool catalog above is
drift-checked against the registered tools by test/tool-catalog.test.ts.
License
MIT
When an Apply request returns missing_onboarding_fields or
missing_profile_fields, the tool reports the missing fields and the Dreamwork
path that fixes each one. Complete those details in Dreamwork
before retrying; the failed request has not started an application.