Job search, application materials, and application tracking for AI assistants.
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.
MCP server for Dreamwork — job-search tools for AI agents. Gives any MCP client (Claude Desktop, Cursor, the MCP Inspector, etc.) what it needs 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 — stdout carries only JSON-RPC frames.
No install step is required — MCP clients run it on demand with npx. The examples below use npx -y @dreamworkhq/mcp.
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 — don't
wrap command in a shell or an env-loader (dotenvx run -- …, etc.): on a stdio
server any banner such a wrapper prints to stdout will corrupt the JSON-RPC
stream and hang tool calls.
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 sanity-check with the Inspector:
DREAMWORK_API_KEY=sk_... npx @modelcontextprotocol/inspector npx -y @dreamworkhq/mcp
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 agent key to the same URL instead. In Claude Code:
claude mcp add --transport http dreamwork https://mcp.dreamworkhq.com/mcp \
--header "Authorization: Bearer sk_..."
Generate an agent key from your Dreamwork profile: sign in at
dreamworkhq.com, open your profile → Agent key
section (or use the Get your agent key button on the Agents page), then set it
as DREAMWORK_API_KEY (format sk_...).
When you generate a key you choose what it may do: read, write, apply, send mail. New keys get read and write, so a key made without a decision cannot submit an application or mail a recruiter. Pick the narrowest set that lets your agent work.
Guest mode: with no key set, the server still starts and exposes the public,
read-only tools (browse_listings, get_listing, get_platform_context,
get_upgrade_link).
Account tools return a short "No agent key" message until a key is set.
| Variable | Required | Default | Purpose |
|---|---|---|---|
DREAMWORK_API_KEY | For account tools | — | Agent 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.
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 only — never derived from your hostname, username, or any machine
attribute — used to count 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 (also false/no/off)DO_NOT_TRACK=1 (the standard opt-out; also true/yes/on)With telemetry disabled, no install id is generated, read, or sent.
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_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.
A few tools need a word beyond their own description:
apply,
reply_to_recruiter, set_autopilot, update_autopilot_settings and
start_checkout return held with a summary and a confirmationToken, and
act only when you send that token back with identical arguments.search_jobs and
list_applications (use get_pipeline; browse_listings searches the
index), apply_to_job (apply), add_listing_to_pipeline (save_job),
skip_job (dismiss_match), and send_outreach. resolve_escalation only dismisses or hands over; replies
and resubmissions go through reply_to_recruiter and apply.update_application_materials and reopen_application_materials are open to
the Applications rollout cohort the API admits; outside it they return the
API's own refusal.get_stats aggregates the signed-in candidate's own pipeline, so it needs a
key like the rest.An agent 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 |
Every scope gates every path to the act, not just the tool that names it.
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 POST /conversations/:id/reply, and at an escalation
resolution whose action is send_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.
New keys default to read and write, so a key generated without a decision cannot submit or send. A key created before scopes existed keeps everything it could already do, so nothing that works today stops working.
command isn'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 with rm -rf ~/.npm/_npx
if an old build is cached). stdout must carry only protocol frames — all server
logging goes to stderr.DREAMWORK_API_KEY isn't
reaching the process. Confirm it's in the env block of your client config.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 below is
drift-checked against the registered tools by test/tool-catalog.test.ts.
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.
Source-derived launch command. Check the maintainer’s required arguments and credentials before running:
npx -y @dreamworkhq/mcpMerge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.
{
"mcpServers": {
"io-github-dreamworkhq-dreamwork": {
"command": "npx",
"args": [
"-y",
"@dreamworkhq/mcp"
]
}
}
}Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.
Claude Desktop setup reference@dreamworkhq/mcpnpmDreamwork works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.
~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.~/.cursor/mcp.jsonRestart Cursor for changes to take effect..vscode/mcp.jsonReload VS Code window for changes to take effect.~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect..mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.