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The package installs into Claude Code, Cursor, VS Code, Windsurf, Continue, or any harness that accepts an MCP HTTP or stdio server entry.\n\nFloom ships as a single npm package that exposes:\n\n- **`floom` CLI** - `login`, `workspaces`, `workers`, `run`, `runs`, `secrets`, `mcp`, `whoami`, `logout`, plus an `install` shortcut that wires the MCP server into Claude Code / Cursor / Continue. `workeros` remains a compatibility alias for older installs.\n- **HTTP MCP endpoint** - `floom mcp install` writes an HTTP transport entry (`url` + `headers`) pointing at hosted Floom Cloud by default. No local subprocess is required.\n- **`floom-mcp` stdio server** - legacy stdio path; `workeros-mcp` still works as an alias. Use this for harnesses that do not support HTTP MCP transport.\n\nThe CLI targets hosted Floom Cloud by default. Self-hosted/local mode is only for operators already running their own Floom API:\n\n| Mode | API base | Auth | Workspaces |\n|------|----------|------|------------|\n| **Hosted** (default) | `https://workeros-api.floom.dev` | browser/device login or bearer token | multi-workspace |\n| **Self-hosted** | `http://localhost:8000` or your API URL | `x-floom-secret` when `FLOOM_SECRET` is set | local workspace |\n\n## Quickstart — hand it to your agent\n\nThe fastest path is to let your coding agent (Claude Code, Cursor, ...) do the\nsetup. Paste this into the agent:\n\n```\nRead https://floom.dev/onboard and walk me through setting up Floom.\n```\n\nIt installs the MCP, signs you in, and builds your first worker with you.\n\nOr install manually:\n\n```bash\nnpx -y @floomhq/floom mcp install --target claude\n```\n\n`mcp install` targets Floom Cloud by default, selects the active workspace,\nwrites the MCP config for the client, and drops an auto-triggering Floom skill\nso your agent reaches for Floom on recurring/scheduled/background requests. Pass\n`--no-skill` to skip the skill. Hosted HTTP MCP configs need a durable\nPersonal Access Token because browser login JWTs expire; generate one in the\ndashboard, then set `FLOOM_TOKEN` or `WORKEROS_API_TOKEN` before running install. Use\n`--target cursor`, `--target vscode`, `--target windsurf`, `--target continue`,\nor `--target generic` for other clients.\n\nFor CLI use outside an MCP client:\n\n```bash\nnpm i -g @floomhq/floom@latest\nfloom login\nfloom workers list\nfloom run <worker-id> --input key=value\n```\n\n## Self-Hosted Quickstart\n\nFor the default local API at `http://localhost:8000`:\n\n```bash\nnpm i -g @floomhq/floom@latest\nfloom login --local\nfloom workers list\n```\n\nFor a custom self-hosted API base, set env vars instead of passing an `--api`\nflag:\n\n```bash\nWORKEROS_API_BASE=http://localhost:8000 floom login --local\nFLOOM_API_BASE=http://localhost:8000 floom doctor\n```\n\nIf your local API runs without `FLOOM_SECRET`, login is not required for basic local development. For a protected self-hosted API, set `FLOOM_SECRET` on the backend and use the matching secret when the CLI prompts.\n\nIf the self-hosted engine has user-header scope enabled (it requires `x-floom-user` alongside the shared secret), pass the identity with the `--user` flag or `WORKEROS_USER` env var:\n\n```bash\nWORKEROS_API_BASE=http://127.0.0.1:8011 WORKEROS_API_SECRET=<secret> WORKEROS_USER=<user> floom whoami\n# or\nfloom --user <user> whoami\n```\n\n`WORKEROS_API_BASE` + `WORKEROS_API_SECRET` select self-hosted (OSS) mode and take precedence over any saved hosted credentials file; `mcp install` bakes `x-floom-user` into the generated client config when it is set.\n\nCredentials live at `~/.config/floom/credentials.json` (mode 0600). Existing `~/.config/workeros/credentials.json` files are still read for compatibility. `floom logout` clears both paths.\n\n## MCP install\n\n```bash\nnpx -y @floomhq/floom mcp install\n```\n\nTargets hosted Floom Cloud unless self-hosted env vars or local login are used.\nIt auto-detects the first existing config file and reuses saved hosted\ncredentials when possible. To target a specific harness:\n\n```bash\nfloom mcp install --target claude     # ~/.claude/settings.json\nfloom mcp install --target cursor     # ~/.cursor/mcp.json\nfloom mcp install --target vscode     # .vscode/mcp.json  (workspace-local)\nfloom mcp install --target windsurf   # ~/.codeium/windsurf/mcp_config.json\nfloom mcp install --target continue   # ~/.continue/.continuerc.json\nfloom mcp install --target generic    # prints JSON snippet for manual paste\n```\n\n## Switching the active context\n\n```bash\nfloom workspace list             # all workspaces your credentials can access, active marked with *\nfloom workspace switch <name>    # by name or id; fails (exit 1) if not authenticated for it\nfloom mcp list                   # configured MCP servers (connections of kind \"mcp\")\nfloom mcp switch <name>          # set the active MCP server by label\nfloom mcp test [name]            # live probe (initialize + tools/list); defaults to the active server\n```\n\nSwitches persist in `~/.config/floom/credentials.json` and apply to every later CLI invocation. `workspaces`/`use` remain as aliases of `workspace`/`switch`. Workspace switching works in both modes: hosted deployments scope by membership, self-hosted deployments scope local workspaces via the legacy `x-workeros-workspace` header (which the CLI sends on every request, and `mcp install` bakes into the client config - re-run `mcp install` after switching to repoint installed MCP clients).\n\nRe-running the installer updates the existing `floom` entry, and migrates an older `workeros` entry instead of duplicating it.\n\n## Supported targets\n\n| Target | Config file written | Config shape |\n|---|---|---|\n| `claude` | `~/.claude/settings.json` | `{ mcpServers: { floom: {...} } }` |\n| `cursor` | `~/.cursor/mcp.json` | `{ mcpServers: { floom: {...} } }` |\n| `vscode` | `.vscode/mcp.json` (workspace) | `{ mcpServers: { floom: {...} } }` |\n| `windsurf` | `~/.codeium/windsurf/mcp_config.json` | `{ mcpServers: { floom: {...} } }` |\n| `continue` | `~/.continue/.continuerc.json` | `{ mcpServers: [ { name:\"floom\", ... } ] }` |\n| `generic` | (no file) | prints JSON snippet to stdout |\n\nAll targets write **HTTP MCP transport** (`url` + `headers`) - no local subprocess is spawned. The MCP endpoint is hosted on the Floom API server.\n\n```json\n{\n  \"mcpServers\": {\n    \"floom\": {\n      \"url\": \"https://workeros-api.floom.dev/mcp/<workspace_id>\",\n      \"headers\": {\n        \"Authorization\": \"Bearer <floom_token>\"\n      }\n    }\n  }\n}\n```\n\n### HTTP transport (recommended - written by `floom mcp install`)\n\nClaude Code / Cursor / VS Code / Windsurf (`mcpServers` object shape), hosted\nCloud:\n\n```json\n{\n  \"mcpServers\": {\n    \"floom\": {\n      \"url\": \"https://workeros-api.floom.dev/mcp/<workspace_id>\",\n      \"headers\": {\n        \"Authorization\": \"Bearer <floom_token>\"\n      }\n    }\n  }\n}\n```\n\nThe published binary stays connected for that handshake when launched as `npx -p @floomhq/floom floom-mcp`.\n\n## Manual self-hosted config\n\nUse this section only when you run your own Floom API. Hosted users should let\n`floom mcp install` generate the config above.\n\nClaude Code / Cursor / VS Code / Windsurf (`mcpServers` object shape, HTTP MCP):\n\n```json\n{\n  \"mcpServers\": {\n    \"floom\": {\n      \"url\": \"http://localhost:8000/mcp-tools/serve\",\n      \"headers\": {\n        \"x-floom-secret\": \"<WORKEROS_API_SECRET>\"\n      }\n    }\n  }\n}\n```\n\nContinue (`~/.continue/.continuerc.json`, array shape, HTTP MCP):\n\n```json\n{\n  \"mcpServers\": [\n    {\n      \"name\": \"floom\",\n      \"url\": \"http://localhost:8000/mcp-tools/serve\",\n      \"headers\": {\n        \"x-floom-secret\": \"<WORKEROS_API_SECRET>\"\n      }\n    }\n  ]\n}\n```\n\nReplace `http://localhost:8000` with your deployed API base URL when connecting\nto a remote self-hosted instance.\n\n### Stdio transport (fallback - for harnesses that do not support HTTP MCP)\n\n```json\n{\n  \"mcpServers\": {\n    \"floom\": {\n      \"command\": \"npx\",\n      \"args\": [\"-p\", \"@floomhq/floom\", \"floom-mcp\"],\n      \"env\": {\n        \"WORKEROS_API_SECRET\": \"<WORKEROS_API_SECRET>\",\n        \"WORKEROS_API_BASE\": \"http://localhost:8000\"\n      }\n    }\n  }\n}\n```\n\nOr launch directly if the package is already installed: `node /path/to/@floomhq/floom/dist/server.js`.\n\n## Worker bundle CLI flow\n\nUse this path when a fresh agent has a local `workers/<id>/` folder and needs a repeatable create/edit/deploy loop:\n\n```bash\nfloom login\nfloom workers contract\nfloom workers templates list\nfloom workers templates get python-script\nfloom workers validate ./workers/<id>\nfloom workers push ./workers/<id>\nfloom run <id> --inputs-file docs/workers/inputs/<id>.json\nfloom workers info <id>\n```\n\n`workers validate` is offline. It checks that `worker.yml` parses, the entry file exists, the runtime is declared, and E2B Composio workers do not use the local `composio execute` CLI. For structured connection declarations it also verifies that referenced tool slugs are covered by `allowed_tools`.\n\n`workers push` uses `POST /workers` for new workers and `PUT /workers/{id}` for existing workers. If an older API returns 404/405 for source updates, upgrade the API before editing workers in place.\n\nClean up stale or superseded workers without leaving the CLI:\n\n```bash\nfloom workers disable <id>   # keep the worker but stop it running on triggers\nfloom workers enable <id>    # re-enable a disabled worker\nfloom workers delete <id>    # permanently remove it (and its runs/artifacts); prompts unless --yes\n```\n\n`workers delete` asks for confirmation; pass `-y/--yes` to skip the prompt (also required in non-interactive shells). `workers disable` is the reversible, soft option (`enabled=false`) for hiding a worker from triggers without deleting it.\n\n## Tools\n\n> **For full worked examples per tool, end-to-end recipes (deploy a worker from prompt, port a Claude skill, schedule + webhook + composio triggers), and the agent draft contract, see [docs/AGENT-COOKBOOK.md](../../docs/AGENT-COOKBOOK.md).**\n\n### Workers\n| Tool | Description |\n| --- | --- |\n| `workers.list` | List available Floom workers. |\n| `workers.get` | Read one worker, including config and recent run metadata. |\n| `workers.contract` | Read the canonical worker.yml/run.py/SKILL.md authoring contract. |\n| `workers.templates.list` | List golden worker templates agents should start from. |\n| `workers.templates.get` | Return a full template bundle with `worker_yml` plus `run_py` or `skill_md`. |\n| `workers.validate` | Validate a proposed worker bundle before creating it. |\n| `workers.create` | Create a worker from validated `worker_yml` plus `run_py` or `skill_md`. |\n| `workers.update` | Patch trigger, cron, default inputs, capabilities, or rotate webhook secret. |\n| `workers.delete` | Delete a worker and dependent run data. |\n| `workers.run` | Start a manual worker run with input values. |\n| `workers.logs` | Fetch cross-run log history, filterable by level and time. |\n| `workers.stats` | 7-day run statistics for a specific worker. |\n| `workers.timeseries` | Daily run counts and success/failure trend over N days. |\n| `workers.sample_input` | Get example input values for a worker's fields. |\n| `workers.archive` | Archive a worker (reversible). |\n| `workers.restore` | Restore an archived worker to active status. |\n| `workers.reload` | Reload all workers from disk on a self-hosted deployment. |\n| `workers.versions` | List saved versions of a worker. |\n| `workers.rollback` | Restore a worker to a previous version. |\n| `workers.alerts.list` | List configured alerts for a worker. |\n| `workers.alerts.create` | Add a failure/approval/success alert via webhook or email. |\n| `workers.alerts.delete` | Remove a worker alert. |\n\n### Runs\n| Tool | Description |\n| --- | --- |\n| `runs.list` | List runs, optionally filtered by worker id or status. |\n| `runs.get` | Read one run with logs, outputs, artifacts, and approval state. |\n| `runs.watch` | Stream SSE run events until a terminal state. |\n| `runs.cancel` | Cancel an in-progress run. |\n| `runs.replay` | Replay a completed or failed run with the same inputs. |\n\n### Approvals\n| Tool | Description |\n| --- | --- |\n| `approvals.list` | List pending approval requests across all workers. |\n| `approvals.approve` | Approve a pending run so it continues executing. |\n| `approvals.reject` | Reject a pending run, stopping it. |\n\n### Secrets\n| Tool | Description |\n| --- | --- |\n| `secrets.list` | List secret names and status. |\n| `secrets.set` | Create or update a secret value. |\n| `secrets.delete` | Delete a secret. |\n| `secrets.test` | Verify a secret exists without revealing its value. |\n\n### Connections\n| Tool | Description |\n| --- | --- |\n| `connections.list` | List configured app connections. |\n| `connections.add_mcp` | Add an MCP server connection. |\n| `connections.delete` | Remove a connection. |\n| `connections.status` | Check connection health and auth status. |\n| `connections.test` | Run a live connectivity check on a connection. |\n\n### Contexts (Brain Packs)\n| Tool | Description |\n| --- | --- |\n| `contexts.list` | List context folders. |\n| `contexts.create` | Create a new brain pack context. |\n| `contexts.delete` | Delete a brain pack and all its files. |\n| `contexts.read` | Read a file from a context. |\n| `contexts.write` | Create or update a file in a context. |\n| `contexts.upload` | Upload a binary file to a context. |\n| `contexts.delete_file` | Delete a specific file from a context. |\n| `contexts.versions` | List saved versions of a brain pack. |\n| `contexts.rollback` | Restore a brain pack to a previous version. |\n\n### Triggers & Integrations\n| Tool | Description |\n| --- | --- |\n| `triggers.list` | List integration triggers, globally or per worker/app. |\n| `integrations.catalog` | Browse all available integrations. |\n\n### Workspace\n| Tool | Description |\n| --- | --- |\n| `workspace.chat` | Send a message to the workspace agent and get a reply. |\n| `workspace.instructions.get` | Read current workspace agent system prompt. |\n| `workspace.instructions.set` | Update workspace agent system prompt. |\n| `workspace.versions` | List version history of workspace instructions. |\n| `workspace.rollback` | Restore workspace instructions to a previous version. |\n\n### Conversations\n| Tool | Description |\n| --- | --- |\n| `conversations.list` | List past workspace agent conversations. |\n| `conversations.get` | Retrieve a full conversation by ID. |\n\n### System\n| Tool | Description |\n| --- | --- |\n| `system.overview` | Full workspace dashboard - health, runs, pending approvals, alerts. |\n| `system.stats` | 7-day aggregate run statistics across the whole workspace. |\n| `system.info` | Platform version and configuration flags. |\n| `system.alerts` | Active system-wide alerts. |\n\n## Quick example - write + deploy + verify a worker in one MCP session\n\n```js\n// 1. Create\nawait workers.create({\n  worker_yml: `\nschema_version: \"0.3\"\nname: text-summarizer\ntitle: Text Summarizer\ndescription: Summarizes any text in 3 bullets using GPT-4.1.\nentrypoint: run.py\nexec:\n  command: python run.py\n  runtime: python311\n  runner: e2b\n  entry: run.py\n  inputs:\n    - { name: text, kind: scalar, type: textarea, required: true, label: Text }\n  outputs:\n    - { name: summary, kind: file, media_type: text/markdown, path: out/summary.md, required: true, label: Summary }\n  secrets: [OPENAI_API_KEY]\ncapabilities:\n  secrets: [OPENAI_API_KEY]\n  network: { egress: true }\ntrigger: { type: manual }\n`,\n  run_py: `\nimport json\nimport os\nfrom pathlib import Path\nfrom openai import OpenAI\n\ninputs = json.loads(Path(\"inputs.json\").read_text())\nclient = OpenAI(api_key=os.environ[\"OPENAI_API_KEY\"])\nresponse = client.chat.completions.create(\n    model=\"gpt-4.1-mini\",\n    messages=[\n        {\"role\": \"system\", \"content\": \"Summarize in 3 bullets.\"},\n        {\"role\": \"user\", \"content\": inputs[\"text\"]},\n    ],\n)\nsummary = response.choices[0].message.content or \"\"\nPath(\"out\").mkdir(exist_ok=True)\nPath(\"out/summary.md\").write_text(summary)\nPath(\"result.json\").write_text(json.dumps({\n    \"status\": \"success\",\n    \"outputs\": {\"summary\": \"out/summary.md\"},\n}))\n`,\n});\n\n// 2. Run\nconst { run_id } = await workers.run({\n  id: \"text-summarizer\",\n  inputs: { text: \"Lorem ipsum dolor sit amet...\" },\n});\n\n// 3. Watch until terminal\nconst watched = await runs.watch({ id: run_id });\nconsole.log(watched.status);\n\n// 4. Verify\nconst { run } = await runs.get({ id: run_id });\nconsole.log(run.status); // \"succeeded\"\nconsole.log(run.output?.summary);\n```\n\nFor TypeScript script workers, use `entrypoint: run.ts`, `exec.runtime:\nnode22`, `exec.command: npx --yes tsx run.ts`, and pass the source as\n`run_ts`. The worker still reads `inputs.json` and writes `result.json`.\n\nSee [docs/AGENT-COOKBOOK.md section 1](../../docs/AGENT-COOKBOOK.md) for the full annotated walkthrough plus six more recipes (agent mode, Gmail trigger, cron schedule, webhook, approval gate, claude-skill port).\n","readmeFilename":"README.md"}