SkillAgentSearch skills...

mcp

Dreamwork MCP server: job search, tailored application materials, and application tracking for AI assistants.

Install / Use

claude mcp add dreamworkhq -- npx -y github:dreamworkhq/mcp

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

81/100

Supported Platforms

Claude Code
Claude Desktop

Our assessment of mcp

mcp scores 81/100 on our quality scale, 3501st of 4,595 Development & Engineering skills we index.

Its MCP Server is 13 KB long, well organised into 14 sections with 5 code examples: a thorough specification that gives an agent plenty to work with.

It has 10 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
30/30
Structure
20/20
Description
12/15
Adoption
4/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated today, so mcp is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 97/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

mcp compared with similar skills

All 4 of these similar skills score higher than mcp; compare them before choosing.

SkillScoreStarsUpdatedFormat
mcp (this skill)by dreamworkhq8110todayMCP Server
Agent-Reachby Panniantong10098.3k1d agoCLAUDE.md
taste-skillby Leonxlnx10098.1k2d agoCLAUDE.md
headroomby headroomlabs-ai10075.5ktodayCLAUDE.md
ai-job-searchby MadsLorentzen10048.8k1d agoCLAUDE.md

Frequently asked questions

How do I install mcp?
Run claude mcp add dreamworkhq -- npx -y github:dreamworkhq/mcp. The install tabs above show the steps for each supported agent.
Which AI agents does mcp work with?
It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
Is mcp safe to use?
It is MIT-licensed and scores 97/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is mcp still maintained?
The repository was last updated today, so mcp is actively maintained.

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.

The hosted endpoint does the same for its handshake. initialize and tools/list succeed with no sign-in, and those four tools run. Every account tool, and any other method, answers 401 with WWW-Authenticate so a connector can sign in with OAuth. A bearer the API rejects is that same 401.

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 (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.

Tools

The typical flow: browse the public index, save roles to the pipeline, tailor materials, apply, then track replies and interviews. Call get_platform_context first. It describes what Dreamwork can do, so the agent picks the right workflow.

<!-- generated:mcp-tools:start --> <!-- Generated by `pnpm --filter @dreamworkhq/mcp docs`. Edit the tool, not this table. -->

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_resume_work_history, get_task, get_unread_reminders, get_updates_since, get_usage, import_job, list_dismissed_matches, 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_match, 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_interviews, reopen_application_materials, update_application_materials, update_profile, upload_resume

<!-- generated:mcp-tools:end -->

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_settings and start_checkout return held with a summary and a confirmationToken, 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_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. Replies and resubmissions go through reply_to_recruiter and apply.
  • Releases after 1.5.1 no longer include list_escalations and resolve_escalation, and the hosted server no longer offers them. Dreamwork no longer hands an application back to you as an escalation, so there is nothing for them to list or resolve.
  • 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.

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 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.
  • Every account tool says "No API key". DREAMWORK_API_KEY isn't reaching the process. Confirm it's in the env block of your client config.
  • **Every account

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars10
CategoryDevelopment
Updated11h ago
Forks2

Languages

TypeScript

Trust signals

97/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 info