@floopfloop/mcp
The @floopfloop/mcp server integrates FloopFloop's AI-powered web project platform with LLM hosts, enabling agents to create, monitor, refine, and manage web projects through natural-language instructions.
Project Lifecycle: List all projects (
list_projects), fetch by ID or subdomain (get_project), create from a prompt (create_project), refine with follow-up instructions (refine_project), check build/deploy status (project_status), block until live (wait_for_live), cancel a build (cancel_project), reactivate a cancelled project (reactivate_project), and view message timelines (get_conversations).Subdomain Management: Check slug availability (
check_subdomain) or generate a friendly slug from a prompt (suggest_subdomain).Secrets Management: List secret key names (
list_secrets), create or overwrite a secret (set_secret), or delete a secret (remove_secret). Values are one-way encrypted and never returned.File Uploads: Read a local file, upload it to S3, and get an attachment reference for use in refinements (
upload_from_path).Library Projects: Browse the public project library (
list_library_projects) and clone templates into your account (clone_library_project).Account & Billing: View user info (
whoami), current subscription and credits (current_subscription), usage summary (usage_summary), and manage API keys — list, create (secret returned once), or revoke (list_api_keys,create_api_key,remove_api_key).Safe by Design: Destructive actions (cancel, set/remove secrets, revoke keys) are marked so hosts can prompt for user confirmation.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@@floopfloop/mcpcreate a landing page for a vegan bakery called Green Bite"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
@floopfloop/mcp
Model Context Protocol server for the FloopFloop API — lets Claude Desktop, Cursor, Zed, and any other MCP-aware LLM host build, poll, and refine FloopFloop projects on the user's behalf.
Wraps the official @floopfloop/sdk and exposes a curated subset of its surface as MCP tools.
Tools
Tool | What it does |
| List every project you have access to |
| Fetch a project by id or subdomain |
| Cheap status snapshot — safe to poll |
| Kick off a new build from a natural-language prompt |
| Send a refinement message to an existing project |
| Block until the project reaches a terminal state |
| Stop a queued or in-progress build |
| Resume a cancelled / archived project |
| Read a project's message timeline (prompts + replies + deploy markers) |
| Is a given slug available? |
| Generate a friendly slug from a prompt |
| List secret keys on a project (names only) |
| Create/overwrite a project secret |
| Delete a project secret |
| Browse the public project library |
| Duplicate a library project into the user's account |
| Plan limits + current-period credit / build / storage usage |
| List the user's API keys (never returns the raw secret) |
| Mint a new API key — raw secret returned ONCE |
| Revoke an API key by id or name |
| Read a local file, presign + upload to S3, return an attachment ref |
| Show the authenticated user |
| Plan tier + credit balance (price, billing period, current/rolled-over credits) |
Related MCP server: mcp-minecraft
Configuration
Grab an API key: floop keys create mcp-host (via the floop CLI) or the dashboard → Account → API Keys. Business plan required to mint new keys.
The server reads FLOOP_API_KEY from the environment. Optionally override FLOOP_API_URL to point at staging.
Claude Desktop
~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %AppData%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"floopfloop": {
"command": "npx",
"args": ["-y", "@floopfloop/mcp"],
"env": { "FLOOP_API_KEY": "flp_..." }
}
}
}Restart Claude Desktop; the tools show up under the 🔌 icon.
Cursor
~/.cursor/mcp.json (or Cursor Settings → Tools & Integrations → MCP):
{
"mcpServers": {
"floopfloop": {
"command": "npx",
"args": ["-y", "@floopfloop/mcp"],
"env": { "FLOOP_API_KEY": "flp_..." }
}
}
}Generic MCP host
Any host that speaks the MCP stdio transport can run the server:
FLOOP_API_KEY=flp_... npx -y @floopfloop/mcpInstall
The package is pulled in automatically via npx -y @floopfloop/mcp in the config snippets above. If you prefer a pinned install:
npm install -g @floopfloop/mcp
which floop-mcpUsage notes
create_projectstarts a build right away. Follow up withwait_for_live(blocks) orproject_status(poll) to know when it's up.wait_for_livedefaults to a 10-minute ceiling (bounded bytimeoutMs, capped at 30 min). Most builds finish in under two minutes.upload_from_path→refine_projectis the canonical attachment flow: callupload_from_pathwith a local file, get back anUploadedAttachment({key, fileName, fileType, fileSize}), then pass it asattachments: [<that object>]onrefine_project. The LLM host's process needs read access to the file path; max 5 MB.refine_projectcodeEditOnly: trueruns a 3-step in-place patch instead of a full 6-step rebuild and charges roughly half the credits — use it for copy edits, colour swaps, or typo fixes on a project that's already live. The backend won't promote a code-edit to a full refinement automatically, so prefer plainrefine_projectwhen the change actually needs redesign.cancel_project→reactivate_projectis the abort/redo pattern.cancel_projectisdestructiveHint: true; hosts should confirm before calling it.reactivate_projecttriggers a fresh build at the project's most recent prompt.set_secret/remove_secretare markeddestructiveHint: true— hosts may ask the user to confirm before they run.list_secretsonly returns names, never values. Secret values cannot be retrieved once written; rotate them by re-setting.On failure, tools return an MCP
isErrorcontent result rather than tearing down the session, so the host displays the error to the user.
Development
git clone https://github.com/FloopFloopAI/floop-mcp.git
cd floop-mcp
npm install
npm run typecheck
npm run build
FLOOP_API_KEY=flp_... node dist/index.jsTo smoke-test the stdio handshake without an LLM host:
printf '%s\n' \
'{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"smoke","version":"0"}}}' \
'{"jsonrpc":"2.0","method":"notifications/initialized"}' \
'{"jsonrpc":"2.0","id":2,"method":"tools/list"}' \
| FLOOP_API_KEY=flp_dummy node dist/index.js 2>/dev/nullReleasing
.github/workflows/release.yml publishes to npm with provenance whenever
a tag matching mcp-v* is pushed. One-time setup before the first
release:
Create an automation npm token on the
@floopfloopscope (publishes bypass 2FA by design when tokens are marked automation).Add it as the repo secret
NPM_TOKEN:gh secret set NPM_TOKEN --repo FloopFloopAI/floop-mcp # paste token when prompted — do NOT use --body, which can leak it to # shell history.Tag + push:
npm version 0.1.0-alpha.1 --no-git-tag-version # if needed git tag mcp-v$(node -p "require('./package.json').version") git push --follow-tags
The workflow typechecks, builds, runs the stdio smoke test, verifies the
tag matches package.json, then publishes and cuts a GitHub Release
(prerelease, auto-generated notes).
License
MIT
Maintenance
Resources
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