Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Turn an IDF domain into an MCP server with invariants and role scopes in every tool description.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
IDF_SERVER, IDF_DOMAIN, IDF_BOOTSTRAP, IDF_ONTOLOGY_PATH, IDF_AUTH_TOKENValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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": {
"idf": {
"command": "npx",
"args": [
"-y",
"@intent-driven/mcp-server"
],
"env": {
"IDF_SERVER": "your-value",
"IDF_DOMAIN": "your-value",
"IDF_BOOTSTRAP": "your-value",
"IDF_ONTOLOGY_PATH": "your-value",
"IDF_AUTH_TOKEN": "your-value"
}
}
}
}Run this in your terminal
claude mcp add idf --env IDF_SERVER=your-value --env IDF_DOMAIN=your-value --env IDF_BOOTSTRAP=your-value --env IDF_ONTOLOGY_PATH=your-value --env IDF_AUTH_TOKEN=your-value -- npx -y @intent-driven/mcp-serverFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"idf": {
"command": "npx",
"args": [
"-y",
"@intent-driven/mcp-server"
],
"env": {
"IDF_SERVER": "your-value",
"IDF_DOMAIN": "your-value",
"IDF_BOOTSTRAP": "your-value",
"IDF_ONTOLOGY_PATH": "your-value",
"IDF_AUTH_TOKEN": "your-value"
}
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"idf": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@intent-driven/mcp-server"
],
"env": {
"IDF_SERVER": "your-value",
"IDF_DOMAIN": "your-value",
"IDF_BOOTSTRAP": "your-value",
"IDF_ONTOLOGY_PATH": "your-value",
"IDF_AUTH_TOKEN": "your-value"
}
}
}
}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.
IDF_BOOTSTRAP envIDF_ONTOLOGY_PATH envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account intent-driven-software, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: IDF_SERVER, IDF_DOMAIN, IDF_AUTH_TOKEN
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).
The GitHub repo last changed –, and the latest version (1.0.2) reached the registry 6 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Apify MCP Server
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Extract data from any website with thousands of scrapers, crawlers, and automations on Apify Store ⚡
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.
Stop giving AI agents API keys. Give them a domain.
@intent-driven/mcp-server exposes any IDF domain to Claude Desktop / Cursor / Zed as a Model Context Protocol server — with domain semantics in tool descriptions (preconditions, invariants, irreversibility, role scopes) and structured rejections when the agent tries something it shouldn't. Not a 500. Not a string. A JSON shape the LLM can read and adapt to.
→ Landing & demo: [fold.intent-design.tech](https://fold.intent-design.tech) → 5-min quickstart: [github.com/intent-driven-software/fold-runtime-quickstart](https://github.com/intent-driven-software/fold-runtime-quickstart)
→ [Watch on Loom →](https://www.loom.com/share/2ca4a40e3b9245feb86a74a998e42cb8)
On April 25 2026 a Cursor agent powered by Claude Opus 4.6, working on a credential mismatch in PocketOS staging, found an unrelated API token, decided to delete a Railway volume to fix things, and wiped the production database and all volume-level backups in 9 seconds. The agent's own post-mortem:
"I guessed that deleting a staging volume via the API would be scoped
to staging only. I didn't verify. I didn't check if the volume ID was
shared across environments."
30-hour outage. PocketOS rolled back to a 3-month-old backup. (The Register · FastCompany · OECD AI Incident #6153)
This isn't an alignment problem. The system never told the agent what was allowed, why it shouldn't, or what would happen if it tried. Existing MCP servers don't either — tool descriptions carry endpoint shape and not much else. The agent learns by colliding with 500s.
This package fixes that. The MCP tool descriptions carry the why the call might fail; the rejection carries the what failed, structured.
@intent-driven/mcp-server is a stdio MCP adapter that talks to a Fold runtime over an HTTP API. The runtime is a sibling service — not middleware in your existing app, not codegen at runtime. Your current backend stays where it is; the IDF artifact *describes* the agent-facing surface, and the runtime serves it on its own port (default :3001).
┌──────────────────┐ stdio ┌──────────────────┐ HTTP ┌────────────────────┐
│ Claude Desktop │ ◀─────────▶│ @intent-driven/ │ ◀───────▶│ Fold runtime │ │ Cursor / Zed │ │ mcp-server │ │ (idf host :3001) │ └──────────────────┘ └──────────────────┘ └────────┬───────────┘ │ reads ▼ ┌────────────────────┐ │ IDF artifact │ │ (entities + intents│ │ + invariants + │ │ roles + __irr) │ └────────────────────┘
The MCP server is what Claude/Cursor connects to. The runtime is what enforces the rejection. The IDF artifact is what you author.
Who this is for. You're the engineer at a 5–30-person team putting an AI agent into production this quarter — on top of a real backend, with real customers, real SOC2 review on the horizon. You don't want a guardrail layer that reviews after the fact. You want the system itself to refuse the wrong action — before the call, with a structured reason the agent can read.
submit_response in the freelance domain:
Executor публикует Response на Task в status=published; Response.status=pending; +1 в Task.responsesCount
Creates: Response(pending)
Preconditions: task.status = "published"
May fail on (domain invariants):
release_payment in the same domain:
Customer releases escrow to executor. After confirmation, money is gone — forward-correction only.
⚠️ Irreversible action (point-of-no-return: high). Forward-correction only after this effect is confirmed.
May fail on (domain invariants):
None of this is hand-written for the MCP server. It's all derived from one declarative IDF artifact (entities + intents + invariants + roles
Agent submits a $50,000 BTC long without preapproval. The runtime intercepts before any effect lands in storage:
HTTP 403
{ "error": "preapproval_denied", "intentId": "agent_execute_preapproved_order", "reason": "no_preapproval", "details": { "entity": "AgentPreapproval", "ownerField": "userId", "viewerId": "user_5f57c252" } }
The next move for any sane agent: stop, ask the human for a preapproval, retry. Not a 500. Not a string. A JSON shape the LLM can read and adapt to.
The fastest path is the fold-runtime-quickstart — two commands, Docker-bundled, no path configuration:
git clone https://github.com/intent-driven-software/fold-runtime-quickstart && cd $_
docker compose up # ~3 min first time, ~5 sec after
npm install npm run demo:rogue && \ # Act 1: $50K trade → 403 with structured rejection npm run demo:grant && \ # Act 2: investor issues $1K cap (one declarative effect) npm run demo:smart # Act 3: agent reads cap, scales to $950, executes 200 OK
If you'd rather drive the host yourself (e.g. for development against your own ontologies), see the next section.
You need a running IDF host on localhost:3001 (the quickstart's docker-compose gives you that, or run idf manually) and a bootstrapped domain.
# bootstrap from local FS (ontology + intents)
mcp-idf --domain=invest --ontology-path=/abs/path/to/idf/src/domains/invest
mcp-idf --domain=invest --no-bootstrap
Flags / env vars:
| Flag | Env var | Default |
|---|---|---|
--domain | IDF_DOMAIN | booking |
--server | IDF_SERVER | http://localhost:3001 |
--ontology-path | IDF_ONTOLOGY_PATH | ./src/domains/ |
--agent-email | IDF_AGENT_EMAIL | mcp-agent@local |
--no-bootstrap | IDF_BOOTSTRAP=0 | bootstrap on (load FS ontology) |
~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": { "invest": { "command": "npx", "args": ["-y", "@intent-driven/mcp-server"], "env": { "IDF_SERVER": "http://localhost:3001", "IDF_DOMAIN": "invest", "IDF_BOOTSTRAP": "0", "IDF_AGENT_EMAIL": "claude@local" } } } }
IDF_BOOTSTRAP=0 if the host already has the domain loaded (the quickstart container does this on docker compose up). Restart Claude Desktop fully (⌘Q + relaunch — closing the window isn't enough). All agent-callable intents appear in the Tools menu.
IDF intent.canExecute ─→ MCP tool
intent.parameters ─→ JSON Schema inputSchema intent.conditions ─→ description hint for LLM ontology.invariants (relevant) ─→ description block "May fail on" intent.irreversibility:high ─→ annotations.destructiveHint + warning role.visibleFields ─→ resource per collection preapproval guard ─→ automatic scope/limits checkOwnership ─→ automatic access control
One tool per intent in ontology.roles.agent.canExecute.
name — intentIdtitle — intent.namedescription — intent.description + Creates: … + preconditions + May fail on (domain invariants) block + irreversibility warning when irreversibility: "high"inputSchema — JSON Schema from particles.parameters:entityRef / id / text / textarea / select → stringnumber → numberboolean → booleandatetime → string + format: "date-time"email → string + format: "email"annotations.destructiveHint — true when intent.irreversibility === "high" (§23 IDF: effect-level point of no return)One resource per collection in role.visibleFields[entity]. URI scheme: idf:// / .
resources/read returns the filtered world from /api/agent/:domain/world — already scoped per viewer (single-owner
role.scope).The MCP community solves these by hand in every server:
role.visibleFields.roles.agent.canExecute.preapproval.requiredFor with maxAmount / dailySum.effect.context.__irr.point === "high" → destructiveHint: true automatic.intent.conditions land in tool description as Preconditions:.May fail on (domain invariants). Closes the #1 complaint about hand-rolled MCP servers: *"the server doesn't carry domain semantics — the LLM knows what to call but not why it'll fail."*Three reference points from the public IDF host runtime:
| Domain | Shape | Time |
|---|---|---|
invest | 14 entities · 61 intents · 5 invariants · ~600 lines | a weekend, hand-written |
gravitino | 253 entities (Apache catalog OpenAPI) · 120 intents | imported in <1h, enriched in 2 days |
| `workf
Only the beginning is shown; read the rest in the repo