Spec Driven Development
by formulahendry
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Runs on your computer★ 440MITUpdated 14 months ago
Install
Formhaus
Overview
Description from the maker (original English)
Validate Formhaus form definitions and simulate multi-step paths against the real engine.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Other
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- The registry lists no key to fill in.
You need
- npmNode.js installed (for the npx command)
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"formhaus": {
"command": "npx",
"args": [
"-y",
"@formhaus/mcp"
]
}
}
}Run this in your terminal
claude mcp add formhaus -- npx -y @formhaus/mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"formhaus": {
"command": "npx",
"args": [
"-y",
"@formhaus/mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"formhaus": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@formhaus/mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account formhaus-dev, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Otheri
- More stars than 0% of the other 32435 servers in this category
- Published to the registry more recently than 89% of the other 32435 servers in this category
- Basic checks equal to or better than 100% of the other 32435 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Formhaus safe?
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed –, and the latest version (0.15.3) reached the registry 4 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
What can I use instead?
In the same category: Spec Driven Development, Remote Desktop Commander, Apify MCP Server
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Remote Desktop Commander
by desktop-commander
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Runs in the cloud★ 211Updated yesterday
Install
Apify MCP Server
by apify
Extract data from any website with thousands of scrapers, crawlers, and automations on Apify Store ⚡
Runs in the cloudUpdated today
Install
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
@formhaus/mcp
MCP server that lets AI agents check Formhaus form definitions against the real @formhaus/core engine. Runs over stdio. Requires Node 22.12 or later. The checks need no account or key.
validate_definition, fix_definition, simulate_path, translation_template, capabilities and example_definitions run offline. The other tools publish forms, read submissions and manage settings in Formhaus Cloud. If the app has its own backend, keep the data there and don't publish without the user's consent.
Setup
Claude Code plugin, with the Formhaus skills:
claude plugin marketplace add formhaus-dev/formhausclaude plugin install formhaus@formhaus
Inside a Claude Code session, /plugin marketplace add formhaus-dev/formhaus and /plugin install formhaus@formhaus do the same after a confirmation prompt.
Claude Code, server only:
claude mcp add formhaus -- npx -y @formhaus/mcpClaude Desktop (claude_desktop_config.json) and Cursor (.cursor/mcp.json):
{"mcpServers": { "formhaus": { "command": "npx", "args": ["-y", "@formhaus/mcp"] } } }
Tools
| Tool | Input | Output |
|---|---|---|
validate_definition | definition (object or JSON string) | { valid, issues }. Each issue has code, severity, a JSON pointer path, message, hint and, when a repair is known, fixes ({ title, safe, patch } with an RFC 6902 JSON Patch) |
fix_definition | definition (object or JSON string) | { definition, applied, valid, issues }: the definition with every safe fix applied, the fixes applied and the issues left |
simulate_path | definition, answers, optional actions (next, back, skip) and overlay | Active step path with visible fields, action trace, validation ({ valid, issues }), field errors, wouldSubmit, submitValues. Group item fields appear as paths such as participants.0.email |
capabilities | none | Field types, sections, repeatable groups, field props, validation rules, condition operators, step and route semantics, translation catalogs, keys and overlay addresses, adapters |
translation_template | definition, lang, optional prefix | overlay skeleton with the source texts, suggested file name and slots with address, key, placeholders and hash |
example_definitions | optional id | List of bundled examples, or one definition |
publish_form | definition, optional form_id, email, success_message, redirect_url | form_id, endpoint, hosted_url, embed_snippet, react_snippet, dashboard_url, warnings |
list_forms | none | Forms the API key reaches with status, version, submission count and endpoint |
get_submissions | form_id, optional limit, cursor | submissions and next_cursor |
update_form_settings | form_id, optional webhook_url, notify_mode, success_message, redirect_url, status | form_id, status, success_message, redirect_url, notify_mode, webhook_url, masked webhook_secret |
get_webhook | form_id | url and the masked secret |
reveal_webhook_secret | form_id | form_id and the full webhook_secret. Marked as a non-read-only, sensitive tool. Whether the client asks first depends on its permission settings |
publish_form, list_forms, get_submissions, update_form_settings, get_webhook and reveal_webhook_secret call Formhaus Cloud at https://api.formhaus.dev. All but publish_form need FORMHAUS_API_KEY in the server environment, and publish_form uses it when set. An account key (fh_live_...) reaches every form and all six tools. An agent key (fh_agent_..., returned once by the first keyless publish_form) reaches only the forms it created, and update_form_settings, get_webhook and reveal_webhook_secret need an account key. The server reads FORMHAUS_API_KEY from its own environment, not from the project .env. Add it to the env of the formhaus server in your MCP client config (for example .mcp.json with ${FORMHAUS_API_KEY} and the value in your shell or a gitignored .env your client loads), then restart the server. FORMHAUS_API_BASE overrides the API URL. The server also sends short usage instructions to the client on connect.
simulate_path applies answers as initial values, with group answers as arrays of item objects, then presses the actions in order, or Next until the last step or the first blocking error. errors covers visited steps only. Custom validators, onStepValidate and lifecycle hooks are not run. The capabilities are also available as the formhaus://capabilities resource.
The tool handlers are exported for use without MCP:
import { simulatePathTool, validateDefinitionTool } from '@formhaus/mcp';const report = await validateDefinitionTool({ definition }); const result = await simulatePathTool({ definition, answers: { kind: 'business' } });
See the MCP guide for example output. A remote MCP server for Formhaus Cloud is also available. npx formhaus sets up the server in the coding agents on your machine; see formhaus.
License
MIT