Dreamwork

io.github.ponder-surveys由 GitHub 账号 ponder-surveys 发布v1.4.4更新于 Oct 7, 2026

AI job search agent — browse listings, generate packs, auto-apply

概览

AI 生成的概览

让助手通过 Dreamwork 求职 API 搜索职位、排序匹配、定制申请材料、投递并跟踪结果。

可以做什么
这是一个连接 Dreamwork API 的轻量 stdio 网关,提供公开只读工具(browse_listings、get_listing、get_platform_context、get_upgrade_link),以及用于匹配、流程看板、简历、求职信、外联、面试和投递的账户工具。apply、reply_to_recruiter、set_autopilot、update_autopilot_settings 和 start_checkout 等有后果的操作首次调用会被挂起,返回 confirmationToken,需用相同参数回传才会执行。还提供五个提示词,包括 morning_brief、find_and_prepare、apply_to_prepared、interview_prep 和 autopilot_setup。
适用场景
适合让助手为一个人执行求职流程的部分工作:浏览和排序职位、准备定制材料、提交申请,并持续跟踪回复和面试。仅做只读职位搜索时访客模式即可;账户工具需要密钥。
运行要求
通过 npx -y @dreamworkhq/mcp 以 stdio 在本地运行(需要 Node.js);也提供托管的 Streamable HTTP 端点。访客模式无需密钥;账户工具需要 DREAMWORK_API_KEY(格式 sk_...),可用 DREAMWORK_API_URL 覆盖端点。需要能访问 Dreamwork API 的网络。
安装前请注意
账户工具可以写入、提交申请、发送招聘方邮件并启动结账,因此应谨慎选择密钥范围(read、write、apply、send),个人资料页默认全选四项。工具首次调用不会直接执行,但返回的 confirmationToken 即代表授权。除非设置 DREAMWORK_TELEMETRY=0 或 DO_NOT_TRACK=1,服务器会发送匿名安装 ID。不要把命令包在 shell 或环境加载器中,否则会破坏 stdio 数据流。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Dreamwork,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

@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):

json
{  "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:

bash
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:

bash
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

VariableRequiredDefaultPurpose
DREAMWORK_API_KEYFor account toolsnoneAPI key (sk_...). Unlocks pipeline, resume, apply, outreach, profile, interviews.
DREAMWORK_API_URLNohttps://api.dreamworkhq.comOverride the API endpoint (local dev / self-host).
DREAMWORK_UNREAD_NOTICESNoonoff (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.

Public (no key):

browse_listings, get_listing, get_market_pulse, get_platform_context, get_top_hiring_companies, 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

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:

ScopeWhat it unlocks
readEvery read action: matches, pipeline, inbox, status, usage, receipts
writeCheap and queued writes: save, dismiss, move, edit materials, preferences, checkout links
applySubmitting an application, cancelling one that is still sending, and Autopilot
sendMailing 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 tool says "API key rejected". The key reached the server, but it has expired or been revoked. Create a new one under Profile, then MCP, replace DREAMWORK_API_KEY with it, and restart your MCP client.
  • Apply 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.

Development

bash
pnpm --filter @dreamworkhq/mcp check   # typecheckpnpm --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

来源:apps/mcp/README.md,提交 6a0bc6d

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

6
  1. v1.4.4最新Oct 6, 2026
  2. v1.4.3Oct 1, 2026
  3. v1.4.2Oct 1, 2026
  4. v1.4.1Sep 30, 2026
  5. v1.3.0Sep 29, 2026
  6. v1.2.0Sep 16, 2026

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