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Idf MCP

by intent-driven-softwareversion 1.0.2i★ –iRuns on your computer
Registry nameio.github.intent-driven-software/idf-mcp

Install

Overview

Description from the maker (original English)

Turn an IDF domain into an MCP server with invariants and role scopes in every tool description.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

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
  • You need to fill in: IDF_SERVER, IDF_DOMAIN, IDF_AUTH_TOKEN

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).
  • You fill in yourself: IDF_SERVER, IDF_DOMAIN, IDF_BOOTSTRAP, IDF_ONTOLOGY_PATH, IDF_AUTH_TOKEN

Values marked secret are keys to your account. Never share them or paste them into a chat.

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": {
    "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-server

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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.

Open in VS Code

Or copy the settings yourself

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.

Values you fill in

  • IDF_SERVER required env
    Base URL of the IDF host runtime (e.g. http://localhost:3001).
  • IDF_DOMAIN required env
    IDF domain to expose as MCP tools (e.g. invest, booking, planning).
  • IDF_BOOTSTRAP env
    Set to 0 if the host runtime already bootstrapped the domain; 1 (default) to bootstrap from IDF_ONTOLOGY_PATH on first connection.
  • IDF_ONTOLOGY_PATH env
    Filesystem path to the domain ontology module (only used when IDF_BOOTSTRAP=1).
  • IDF_AUTH_TOKEN secret env
    Optional bearer token forwarded to the host runtime as the agent's role credential.

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 intent-driven-software, 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 8% 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 Idf MCP 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?

You need to fill in: IDF_SERVER, IDF_DOMAIN, IDF_AUTH_TOKEN

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 (1.0.2) reached the registry 6 months 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

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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.

@intent-driven/mcp-server

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)

70-second walkthrough

→ [Watch on Loom →](https://www.loom.com/share/2ca4a40e3b9245feb86a74a998e42cb8)


Why this exists

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.

How it plugs into your stack

@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.

What the agent actually sees

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):

  • Response.taskId must reference existing Task.id
  • Response: max 1 per taskId where (status="selected")
  • Response: row count rule per taskId where (status="pending") [info]

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):

  • Deal.status transitions allowed: in_progress→completed, on_review→completed, ...

None of this is hand-written for the MCP server. It's all derived from one declarative IDF artifact (entities + intents + invariants + roles

  • irreversibility points).

What a structured rejection looks like

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.


Quickstart

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

in another terminal

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.

Drive the MCP server directly

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.

CLI
# bootstrap from local FS (ontology + intents)

mcp-idf --domain=invest --ontology-path=/abs/path/to/idf/src/domains/invest

skip bootstrap (domain already loaded by another client / docker)

mcp-idf --domain=invest --no-bootstrap

Flags / env vars:

FlagEnv varDefault
--domainIDF_DOMAINbooking
--serverIDF_SERVERhttp://localhost:3001
--ontology-pathIDF_ONTOLOGY_PATH./src/domains/
--agent-emailIDF_AGENT_EMAILmcp-agent@local
--no-bootstrapIDF_BOOTSTRAP=0bootstrap on (load FS ontology)
Claude Desktop

~/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.


Schema mapping

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

Tools

One tool per intent in ontology.roles.agent.canExecute.

  • name — intentId
  • title — intent.name
  • description — 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 → string
  • number → number
  • boolean → boolean
  • datetime → string + format: "date-time"
  • email → string + format: "email"
  • annotations.destructiveHint — true when intent.irreversibility === "high" (§23 IDF: effect-level point of no return)
Resources

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

  • m2m via role.scope).

What this gets you that hand-rolled MCP doesn't

The MCP community solves these by hand in every server:

  1. Scope / visibility. Decorators or middleware. → IDF declares role.visibleFields.
  2. Permissions. OAuth scopes, custom ACL. → IDF declares roles.agent.canExecute.
  3. Rate limits / spending caps. Bespoke per server. → IDF declares preapproval.requiredFor with maxAmount / dailySum.
  4. Destructive hints. Manual, often forgotten. → IDF: effect.context.__irr.point === "high" → destructiveHint: true automatic.
  5. Business rules as LLM hint. Usually not transmitted. → IDF: intent.conditions land in tool description as Preconditions:.
  6. Domain invariants in descriptions. Almost never. → IDF computes the relevant invariants per intent (alpha × entity match) and injects them as 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."*

How long does authoring an IDF artifact take

Three reference points from the public IDF host runtime:

DomainShapeTime
invest14 entities · 61 intents · 5 invariants · ~600 linesa weekend, hand-written
gravitino253 entities (Apache catalog OpenAPI) · 120 intentsimported in <1h, enriched in 2 days

| `workf

Only the beginning is shown; read the rest in the repo

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