
Idf Mcp
io.github.intent-driven-softwarePublished by GitHub account intent-driven-softwarev1.0.2Updated Oct 24, 2026
Turn an IDF domain into an MCP server with invariants and role scopes in every tool description.
Overview
A local stdio MCP adapter that exposes an IDF domain's intents as tools, with invariants, role scopes and structured rejections in each tool description.
- What you can do
- Expose each agent-callable intent in an IDF domain as an MCP tool, with input schemas derived from intent parameters and descriptions carrying preconditions, relevant domain invariants and irreversibility warnings, plus a destructive hint for high-irreversibility intents. Read role-scoped collections as resources, filtered per viewer. Receive structured JSON rejections from the host runtime instead of generic errors, so the assistant can adapt. Bootstrap a domain from a local ontology path on first connection, or skip bootstrap when the host already has it loaded.
- When to use it
- Useful when you run a Fold/IDF host runtime and want Claude Desktop, Cursor or Zed to call a domain's intents with domain rules and role scopes visible to the model, rather than a hand-rolled MCP server that only describes endpoint shapes.
- Requirements
- Runs locally as an npm package over stdio. Needs a running IDF host runtime reachable at IDF_SERVER (default a domain name in IDF_DOMAIN, and a correctly authored domain with an agent role, canExecute intents, visibleFields and a server-side effect builder. IDF_ONTOLOGY_PATH is used when IDF_BOOTSTRAP is on; IDF_AUTH_TOKEN is optional.
Installation
In SourceWeft
- Open Idf Mcp in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
@intent-driven/mcp-server
[CI] [npm version] [npm downloads] [license: MIT]
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 → 5-min quickstart: github.com/intent-driven-software/fold-runtime-quickstart
70-second walkthrough
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).
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:
release_payment in the same domain:
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:
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:
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
Flags / env vars:
Claude Desktop
~/Library/Application Support/Claude/claude_desktop_config.json:
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
Tools
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 whenirreversibility: "high"inputSchema— JSON Schema fromparticles.parameters:entityRef/id/text/textarea/select→stringnumber→numberboolean→booleandatetime→string+format: "date-time"email→string+format: "email"
annotations.destructiveHint—truewhenintent.irreversibility === "high"(§23 IDF: effect-level point of no return)
Resources
One resource per collection in role.visibleFields[entity]. URI scheme:
idf://<domain>/<collection>.
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:
- Scope / visibility. Decorators or middleware. → IDF declares
role.visibleFields. - Permissions. OAuth scopes, custom ACL. → IDF declares
roles.agent.canExecute. - Rate limits / spending caps. Bespoke per server. → IDF declares
preapproval.requiredForwithmaxAmount/dailySum. - Destructive hints. Manual, often forgotten. → IDF:
effect.context.__irr.point === "high"→destructiveHint: trueautomatic. - Business rules as LLM hint. Usually not transmitted. → IDF:
intent.conditionsland in tool description asPreconditions:. - 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:
Where the speed comes from (all in @intent-driven/cli):
idf import postgres— reads your live schema, generates entity baseline with FKs and column types asfieldRole.idf import openapi— reads your existing API spec, generates intents- parameter shapes + reference fields. This is how a 253-entity domain gets bootstrapped.
idf import prisma— same story for ORM-driven backends.idf enrich— LLM pass to filllabel,fieldRole,compositions, suggestedroles.agent.preapprovalpredicates from your existing code comments.
The author-once-then-forget loop is the whole point. Once the artifact exists, you don't regenerate scaffolding on schema change — the runtime re-reads and serves four readers (UI, voice, agent, document) off the same file.
Domain prerequisites
The protocol is reliable, but it needs the IDF domain to be authored
correctly. Without these, tools/list may return empty,
tools/call may return domain_not_supported, resources may be empty:
ontology.roles.agentmust be declared. No agent role → no tools, no resources.role.agent.canExecute— list of safe intents. Avoid__irr:highwithout preapproval.role.agent.visibleFields— array of fields or"own"/"all"/"aggregated"markers.- Server-side effect builder (
server/schema/effectBuildersRegistry.cjsinidf) must include your domain. Without ittools/callreturnsdomain_not_supported. - Public catalogs without
ownerField. When an entity hasownerField, the SDKfilterWorldForRolefilters out rows whererow[ownerField] !== viewer.id. For public catalogs (e.g.Taskwithstatus: "published") userole.scopewith a via-collection or a separate agent-roleable projection (roadmap).
Limitations (1.0)
toolsandresourcesonly.prompts/completion— roadmap.- Bootstrap reads ontology from local FS. SaaS variant (ontology from DB/API) — next.
- Auth: email/password login. PAT / OAuth2 — next.
- Sync only (
POST /exec). Long-running via MCP tasks API — next.
Links
- Landing & demo: fold.intent-design.tech
- Quickstart: intent-driven-software/fold-runtime-quickstart
- Host runtime: DubovskiyIM/idf
- Why a runtime layer: paper — ~1800-word essay on the agent-safety class question this answers
- MCP spec: modelcontextprotocol.io
License
MIT
Source: README.md at commit 5794c16
Tools
0Version history
1- v1.0.2LatestSep 16, 2026
Score
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