@floomhq/floom
v5.1.11
Published
Hosted Floom Cloud CLI + MCP installer, with self-hosted support available via explicit local mode.
Readme
Floom CLI + MCP
Floom lets agents create, update, run, watch, and delete worker automations through an HTTP MCP endpoint backed by the hosted Floom Cloud API. The package installs into Claude Code, Cursor, VS Code, Windsurf, Continue, or any harness that accepts an MCP HTTP or stdio server entry.
Floom ships as a single npm package that exposes:
floomCLI -login,workspaces,workers,run,runs,secrets,mcp,whoami,logout, plus aninstallshortcut that wires the MCP server into Claude Code / Cursor / Continue.workerosremains a compatibility alias for older installs.- HTTP MCP endpoint -
floom mcp installwrites an HTTP transport entry (url+headers) pointing at hosted Floom Cloud by default. No local subprocess is required. floom-mcpstdio server - legacy stdio path;workeros-mcpstill works as an alias. Use this for harnesses that do not support HTTP MCP transport.
The CLI targets hosted Floom Cloud by default. Self-hosted/local mode is only for operators already running their own Floom API:
| Mode | API base | Auth | Workspaces |
|------|----------|------|------------|
| Hosted (default) | https://workeros-api.floom.dev | browser/device login or bearer token | multi-workspace |
| Self-hosted | http://localhost:8000 or your API URL | x-floom-secret when FLOOM_SECRET is set | local workspace |
Quickstart — hand it to your agent
The fastest path is to let your coding agent (Claude Code, Cursor, ...) do the setup. Paste this into the agent:
Read https://floom.dev/onboard and walk me through setting up Floom.It installs the MCP, signs you in, and builds your first worker with you.
Or install manually:
npx -y @floomhq/floom mcp install --target claudemcp install targets Floom Cloud by default, selects the active workspace,
writes the MCP config for the client, and drops an auto-triggering Floom skill
so your agent reaches for Floom on recurring/scheduled/background requests. Pass
--no-skill to skip the skill. Hosted HTTP MCP configs need a durable
Personal Access Token because browser login JWTs expire; generate one in the
dashboard, then set FLOOM_TOKEN or WORKEROS_API_TOKEN before running install. Use
--target cursor, --target vscode, --target windsurf, --target continue,
or --target generic for other clients.
For CLI use outside an MCP client:
npm i -g @floomhq/floom@latest
floom login
floom workers list
floom run <worker-id> --input key=valueSelf-Hosted Quickstart
For the default local API at http://localhost:8000:
npm i -g @floomhq/floom@latest
floom login --local
floom workers listFor a custom self-hosted API base, set env vars instead of passing an --api
flag:
WORKEROS_API_BASE=http://localhost:8000 floom login --local
FLOOM_API_BASE=http://localhost:8000 floom doctorIf 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.
If 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:
WORKEROS_API_BASE=http://127.0.0.1:8011 WORKEROS_API_SECRET=<secret> WORKEROS_USER=<user> floom whoami
# or
floom --user <user> whoamiWORKEROS_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.
Credentials live at ~/.config/floom/credentials.json (mode 0600). Existing ~/.config/workeros/credentials.json files are still read for compatibility. floom logout clears both paths.
MCP install
npx -y @floomhq/floom mcp installTargets hosted Floom Cloud unless self-hosted env vars or local login are used. It auto-detects the first existing config file and reuses saved hosted credentials when possible. To target a specific harness:
floom mcp install --target claude # ~/.claude/settings.json
floom mcp install --target cursor # ~/.cursor/mcp.json
floom mcp install --target vscode # .vscode/mcp.json (workspace-local)
floom mcp install --target windsurf # ~/.codeium/windsurf/mcp_config.json
floom mcp install --target continue # ~/.continue/.continuerc.json
floom mcp install --target generic # prints JSON snippet for manual pasteSwitching the active context
floom workspace list # all workspaces your credentials can access, active marked with *
floom workspace switch <name> # by name or id; fails (exit 1) if not authenticated for it
floom mcp list # configured MCP servers (connections of kind "mcp")
floom mcp switch <name> # set the active MCP server by label
floom mcp test [name] # live probe (initialize + tools/list); defaults to the active serverSwitches 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).
Re-running the installer updates the existing floom entry, and migrates an older workeros entry instead of duplicating it.
Supported targets
| Target | Config file written | Config shape |
|---|---|---|
| claude | ~/.claude/settings.json | { mcpServers: { floom: {...} } } |
| cursor | ~/.cursor/mcp.json | { mcpServers: { floom: {...} } } |
| vscode | .vscode/mcp.json (workspace) | { mcpServers: { floom: {...} } } |
| windsurf | ~/.codeium/windsurf/mcp_config.json | { mcpServers: { floom: {...} } } |
| continue | ~/.continue/.continuerc.json | { mcpServers: [ { name:"floom", ... } ] } |
| generic | (no file) | prints JSON snippet to stdout |
All targets write HTTP MCP transport (url + headers) - no local subprocess is spawned. The MCP endpoint is hosted on the Floom API server.
{
"mcpServers": {
"floom": {
"url": "https://workeros-api.floom.dev/mcp/<workspace_id>",
"headers": {
"Authorization": "Bearer <floom_token>"
}
}
}
}HTTP transport (recommended - written by floom mcp install)
Claude Code / Cursor / VS Code / Windsurf (mcpServers object shape), hosted
Cloud:
{
"mcpServers": {
"floom": {
"url": "https://workeros-api.floom.dev/mcp/<workspace_id>",
"headers": {
"Authorization": "Bearer <floom_token>"
}
}
}
}The published binary stays connected for that handshake when launched as npx -p @floomhq/floom floom-mcp.
Manual self-hosted config
Use this section only when you run your own Floom API. Hosted users should let
floom mcp install generate the config above.
Claude Code / Cursor / VS Code / Windsurf (mcpServers object shape, HTTP MCP):
{
"mcpServers": {
"floom": {
"url": "http://localhost:8000/mcp-tools/serve",
"headers": {
"x-floom-secret": "<WORKEROS_API_SECRET>"
}
}
}
}Continue (~/.continue/.continuerc.json, array shape, HTTP MCP):
{
"mcpServers": [
{
"name": "floom",
"url": "http://localhost:8000/mcp-tools/serve",
"headers": {
"x-floom-secret": "<WORKEROS_API_SECRET>"
}
}
]
}Replace http://localhost:8000 with your deployed API base URL when connecting
to a remote self-hosted instance.
Stdio transport (fallback - for harnesses that do not support HTTP MCP)
{
"mcpServers": {
"floom": {
"command": "npx",
"args": ["-p", "@floomhq/floom", "floom-mcp"],
"env": {
"WORKEROS_API_SECRET": "<WORKEROS_API_SECRET>",
"WORKEROS_API_BASE": "http://localhost:8000"
}
}
}
}Or launch directly if the package is already installed: node /path/to/@floomhq/floom/dist/server.js.
Worker bundle CLI flow
Use this path when a fresh agent has a local workers/<id>/ folder and needs a repeatable create/edit/deploy loop:
floom login
floom workers contract
floom workers templates list
floom workers templates get python-script
floom workers validate ./workers/<id>
floom workers push ./workers/<id>
floom run <id> --inputs-file docs/workers/inputs/<id>.json
floom workers info <id>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.
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.
Clean up stale or superseded workers without leaving the CLI:
floom workers disable <id> # keep the worker but stop it running on triggers
floom workers enable <id> # re-enable a disabled worker
floom workers delete <id> # permanently remove it (and its runs/artifacts); prompts unless --yesworkers 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.
Tools
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.
Workers
| Tool | Description |
| --- | --- |
| workers.list | List available Floom workers. |
| workers.get | Read one worker, including config and recent run metadata. |
| workers.contract | Read the canonical worker.yml/run.py/SKILL.md authoring contract. |
| workers.templates.list | List golden worker templates agents should start from. |
| workers.templates.get | Return a full template bundle with worker_yml plus run_py or skill_md. |
| workers.validate | Validate a proposed worker bundle before creating it. |
| workers.create | Create a worker from validated worker_yml plus run_py or skill_md. |
| workers.update | Patch trigger, cron, default inputs, capabilities, or rotate webhook secret. |
| workers.delete | Delete a worker and dependent run data. |
| workers.run | Start a manual worker run with input values. |
| workers.logs | Fetch cross-run log history, filterable by level and time. |
| workers.stats | 7-day run statistics for a specific worker. |
| workers.timeseries | Daily run counts and success/failure trend over N days. |
| workers.sample_input | Get example input values for a worker's fields. |
| workers.archive | Archive a worker (reversible). |
| workers.restore | Restore an archived worker to active status. |
| workers.reload | Reload all workers from disk on a self-hosted deployment. |
| workers.versions | List saved versions of a worker. |
| workers.rollback | Restore a worker to a previous version. |
| workers.alerts.list | List configured alerts for a worker. |
| workers.alerts.create | Add a failure/approval/success alert via webhook or email. |
| workers.alerts.delete | Remove a worker alert. |
Runs
| Tool | Description |
| --- | --- |
| runs.list | List runs, optionally filtered by worker id or status. |
| runs.get | Read one run with logs, outputs, artifacts, and approval state. |
| runs.watch | Stream SSE run events until a terminal state. |
| runs.cancel | Cancel an in-progress run. |
| runs.replay | Replay a completed or failed run with the same inputs. |
Approvals
| Tool | Description |
| --- | --- |
| approvals.list | List pending approval requests across all workers. |
| approvals.approve | Approve a pending run so it continues executing. |
| approvals.reject | Reject a pending run, stopping it. |
Secrets
| Tool | Description |
| --- | --- |
| secrets.list | List secret names and status. |
| secrets.set | Create or update a secret value. |
| secrets.delete | Delete a secret. |
| secrets.test | Verify a secret exists without revealing its value. |
Connections
| Tool | Description |
| --- | --- |
| connections.list | List configured app connections. |
| connections.add_mcp | Add an MCP server connection. |
| connections.delete | Remove a connection. |
| connections.status | Check connection health and auth status. |
| connections.test | Run a live connectivity check on a connection. |
Contexts (Brain Packs)
| Tool | Description |
| --- | --- |
| contexts.list | List context folders. |
| contexts.create | Create a new brain pack context. |
| contexts.delete | Delete a brain pack and all its files. |
| contexts.read | Read a file from a context. |
| contexts.write | Create or update a file in a context. |
| contexts.upload | Upload a binary file to a context. |
| contexts.delete_file | Delete a specific file from a context. |
| contexts.versions | List saved versions of a brain pack. |
| contexts.rollback | Restore a brain pack to a previous version. |
Triggers & Integrations
| Tool | Description |
| --- | --- |
| triggers.list | List integration triggers, globally or per worker/app. |
| integrations.catalog | Browse all available integrations. |
Workspace
| Tool | Description |
| --- | --- |
| workspace.chat | Send a message to the workspace agent and get a reply. |
| workspace.instructions.get | Read current workspace agent system prompt. |
| workspace.instructions.set | Update workspace agent system prompt. |
| workspace.versions | List version history of workspace instructions. |
| workspace.rollback | Restore workspace instructions to a previous version. |
Conversations
| Tool | Description |
| --- | --- |
| conversations.list | List past workspace agent conversations. |
| conversations.get | Retrieve a full conversation by ID. |
System
| Tool | Description |
| --- | --- |
| system.overview | Full workspace dashboard - health, runs, pending approvals, alerts. |
| system.stats | 7-day aggregate run statistics across the whole workspace. |
| system.info | Platform version and configuration flags. |
| system.alerts | Active system-wide alerts. |
Quick example - write + deploy + verify a worker in one MCP session
// 1. Create
await workers.create({
worker_yml: `
schema_version: "0.3"
name: text-summarizer
title: Text Summarizer
description: Summarizes any text in 3 bullets using GPT-4.1.
entrypoint: run.py
exec:
command: python run.py
runtime: python311
runner: e2b
entry: run.py
inputs:
- { name: text, kind: scalar, type: textarea, required: true, label: Text }
outputs:
- { name: summary, kind: file, media_type: text/markdown, path: out/summary.md, required: true, label: Summary }
secrets: [OPENAI_API_KEY]
capabilities:
secrets: [OPENAI_API_KEY]
network: { egress: true }
trigger: { type: manual }
`,
run_py: `
import json
import os
from pathlib import Path
from openai import OpenAI
inputs = json.loads(Path("inputs.json").read_text())
client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
response = client.chat.completions.create(
model="gpt-4.1-mini",
messages=[
{"role": "system", "content": "Summarize in 3 bullets."},
{"role": "user", "content": inputs["text"]},
],
)
summary = response.choices[0].message.content or ""
Path("out").mkdir(exist_ok=True)
Path("out/summary.md").write_text(summary)
Path("result.json").write_text(json.dumps({
"status": "success",
"outputs": {"summary": "out/summary.md"},
}))
`,
});
// 2. Run
const { run_id } = await workers.run({
id: "text-summarizer",
inputs: { text: "Lorem ipsum dolor sit amet..." },
});
// 3. Watch until terminal
const watched = await runs.watch({ id: run_id });
console.log(watched.status);
// 4. Verify
const { run } = await runs.get({ id: run_id });
console.log(run.status); // "succeeded"
console.log(run.output?.summary);For TypeScript script workers, use entrypoint: run.ts, exec.runtime:
node22, exec.command: npx --yes tsx run.ts, and pass the source as
run_ts. The worker still reads inputs.json and writes result.json.
See docs/AGENT-COOKBOOK.md section 1 for the full annotated walkthrough plus six more recipes (agent mode, Gmail trigger, cron schedule, webhook, approval gate, claude-skill port).
