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MCP for AI Agents

The @ifc-lite/mcp package turns any IFC model into a set of tools an LLM agent can call. It speaks the Model Context Protocol over JSON-RPC, so agents like Claude Code, Claude Desktop, Cursor, Windsurf, Goose, and Zed can query, validate, edit, and visualize real building models directly, no browser and no bespoke integration required. For a BIM audience: it is the same query, geometry, clash, IDS, BCF, and export capabilities you get from the CLI, exposed as agent-callable tools with a permission model on top.

The server bundles the same headless kernel the CLI and server use, and can optionally drive the WebGL viewer so an agent paints results into a live 3D scene.

Quickstart

stdio (local agents)

The default transport is stdio, the mode Claude Desktop and Cursor expect. Pass one or more IFC files as positional arguments and they are preloaded into the model registry:

# Single model over stdio
ifc-lite mcp ./model.ifc

# Read-only (mutation tools are hidden, not just refused)
ifc-lite mcp ./model.ifc --read-only

# Federate several files into one session
ifc-lite mcp ./arch.ifc ./struct.ifc ./mep.ifc

# Also open the WebGL viewer at startup
ifc-lite mcp ./model.ifc --viewer

You can also invoke the package directly with npx @ifc-lite/mcp ./model.ifc. Both entry points share the same runtime and flags.

HTTP (remote agents)

The Streamable HTTP transport serves remote agents:

ifc-lite mcp ./model.ifc --transport http --port 8765 --token $API_TOKEN

HTTP sessions start with an empty registry

In --transport http mode the positional files are not preloaded. Every HTTP session gets its own fresh, empty model registry. The agent loads a model into its session with the model_load tool, which needs mutate scope, so it is hidden under --read-only. Only the default stdio transport preloads the files you pass on the command line. This isolation is deliberate: two sessions that load different files which derive the same internal id never alias each other's state.

A corollary: --read-only combined with --transport http produces sessions that have no way to load a model at all (the registry starts empty and model_load is hidden). For read-only serving of preloaded files, use the stdio transport.

By default the server binds 127.0.0.1. Binding a non-loopback host requires either a --token (which becomes the bearer token for full scope) or the --insecure flag for development only. The token travels as a plaintext Authorization header: the CLI itself serves plain HTTP, so any non-loopback deployment must sit behind a TLS-terminating reverse proxy (nginx, Caddy, a cloud load balancer), or the bearer token is readable by anyone on the network path.

Flags

Flag Description
--transport <t> stdio (default) or http
--port <N> HTTP port (default 8765)
--host <h> HTTP host (default 127.0.0.1; non-loopback requires --token or --insecure)
--token <bearer> HTTP bearer token that maps to full scope
--insecure Allow a non-loopback bind without a token (development only)
--read-only Hide mutation tools
--bsdd <url> Override the bSDD endpoint
--allow <path> Restrict file-system access (repeatable)
--viewer Auto-open the 3D viewer
--viewer-port <N> Preferred viewer port (0 = auto)
--open Auto-open the viewer and open its URL in the browser

Scopes and permissions

Every tool declares the scope a caller needs. At tools/list time the server filters the advertised set by the session's scope, so an agent never even sees a tool it is not allowed to call, which keeps it from attempting a forbidden operation.

Scope Grants
read Discovery, query, geometry metrics, viewer reads
validate IDS validation, model audit
export Data and geometry export
mutate Property/attribute edits, entity create/delete, model load/save
admin All of the above

Two presets ship out of the box:

  • Full access (read, validate, mutate, export, admin) is the default.
  • Read-only (read, validate, export) is what --read-only selects; it omits mutate.

A scope can also carry an optional modelIds allowlist to restrict a session to specific models.

What the server exposes

Tools are grouped by capability. Everything below is registered in the default tool registry; the handful of tools that are declared but not yet implemented are called out as planned.

Category Tools
Discovery model_info, model_list, model_load, model_unload, schema_describe
Query query_entities, count_entities, get_entity, get_entities_bulk, spatial_hierarchy, containment_chain, relationships, properties_unique, materials_list, classifications_list, georeferencing, units
Geometry geometry_bbox, geometry_volume, geometry_area, geometry_get (planned), raycast (planned)
Clash clash_check, clash_matrix
Validation ids_validate, ids_explain, model_audit, gherkin_check (planned)
Mutation entity_set_property, entity_delete_property, entity_set_attribute, entity_create, entity_delete, mutation_batch, mutation_undo, mutation_diff, model_save
BCF bcf_topic_list, bcf_topic_create, bcf_topic_update, bcf_topic_close, bcf_viewpoint_create, bcf_export
bSDD bsdd_search, bsdd_class, bsdd_property_sets, bsdd_match
Diff model_diff, quantity_diff
Export export_ifc, export_csv, export_json, export_glb, export_obj, export_ifcx, export_usd, export_pdf_report (planned)
Viewer viewer_ask, viewer_open, viewer_close, viewer_status, viewer_colorize, viewer_isolate, viewer_hide, viewer_show, viewer_reset, viewer_fly_to, viewer_set_section, viewer_clear_section, viewer_color_by_storey, viewer_color_by_property, viewer_get_selection, viewer_wait_for_selection, viewer_describe_selection

model_diff and re-exported models

model_diff compares by GlobalId, so two files that describe the same building read as the whole model deleted and re-added when the second was re-exported from scratch. Pass by_content: true to route the same two models through the @ifc-lite/diff engine, which matches entities by content. It is opt-in and stays off by default: an ambiguous group has no honest scalar form, so turning it on would change what the existing numbers mean. Either way the diff reflects any edits the session has queued but not yet saved, and says how many. See Content diffing over MCP.

Reading back an edit you just made

A model_id names a session, not a file. entity_set_property, entity_set_attribute, entity_create and entity_delete queue their edits in an overlay that only reaches disk at export_ifc / model_save, so the read tools fold that overlay in and answer about the model as the session has it.

That covers existence, attributes, properties, quantities and containment: get_entity, get_entities_bulk, query_entities (filters included — a query for the value you just wrote finds it, and in_storey finds an entity you created and placed with a queued IfcRelContainedInSpatialStructure), count_entities, model_info, model_list, properties_unique, materials_list, classifications_list, spatial_hierarchy, containment_chain, model_audit and model_diff — plus the ifc-lite://model/{id}/manifest, …/entity/{globalId} and …/spatial-tree resources. A created entity is reachable by the GlobalId you gave it, and by the expressId every query_entities row carries; a deleted one is reported as not found, and a deleted IfcRelContainedInSpatialStructure or IfcRelAggregates record stops affecting the containment reads above. Only containment. The relationships tool reads voids, fills, groups and connections from the parsed graph, so an IfcRelVoidsElement this session created or deleted shows up there only after a save and reload.

One GlobalId, one entity, whichever tool asks. A GlobalId is supposed to be unique and in practice is not — a session can create an entity under an id the file already uses. get_entity, get_entities_bulk, entity_set_*, entity_delete and bsdd_match all resolve it the same way: an entity this session created wins over a same-GlobalId entity in the file, and a deleted entity never resolves at all. get_entities_bulk additionally reports any key that named more than one live entity in ambiguousGlobalIds (globalId, every expressIds it saw, and which one it returned), so a duplicate is something you are told about rather than something you have to notice. Address the other one by express_id.

Type names are IfcPascalCase in model_info.typeCountsTop20, count_entities(group_by: 'type') and model_diff.typeDiffs alike — the first two used to emit the raw uppercase STEP key. count_entities also honours type on the group_by: 'type' branch now (it was ignored), and expands subtypes the way query_entities does.

pendingMutations is a number wherever it appears, never an object. model_diff used to publish a { base, head } object under that name inside contentDiff; the per-side split now lives in contentDiff.pendingMutationsBySide and pendingMutations is the scalar total, at the top level and inside contentDiff. This is about its type when present, not about whether it is present — see below.

Every one of those payloads carries pendingMutations — the same number mutation_diff reports — whenever the session has unsaved edits, and the field is absent when it has none. That is the line between "in this session" and "on disk": nothing is written until you call export_ifc or model_save.

The saved file agrees with the session, including under a filter. export_ifc's optional global_ids allowlist resolves against the folded model, so an entity this session created can be named in it and lands in the file. It used to be resolved and then filtered against the parsed model alone, which dropped created entities from the output silently.

An allowlist that matches nothing now fails with ENTITY_NOT_FOUND rather than exporting the whole model: an empty match set used to fall through to an unfiltered save, so asking for one entity could write every entity in the model to disk and report success. Nothing is written when it fails. Ids that match nothing while others do are not an error — they come back in unmatchedGlobalIds and the matched ones still export.

What does not fold, and therefore never claims pendingMutations: relationships (voids, fills, groups and connections come from a parser-side extractor with no overlay seam — unlike containment, which routes through the backend the mutation tools share), units and georeferencing (header data no mutation tool writes), and the geometry, clash and viewer tools (the parsed geometry, which queued edits do not regenerate). Save and reload to bring those up to date.

Schema reach beyond IFC4

The parser's entity registry is generated from IFC4_ADD2_TC1, and both model_audit and schema_describe used to answer from it alone. They now consult every bundled schema. model_audit's GlobalId-uniqueness check covers the 39 IFC2X3 and 80 IFC4X3 IfcRoot classes the pin has no row for — it used to skip them silently and score the file clean on identity without having looked. schema_describe answers for those classes instead of rejecting them as unknown; its payload carries schemaSource, which reads IFC4_ADD2_TC1 when the pinned registry answered (attributes with their EXPRESS types) and bundled-schema-union when it did not (attribute names in positional order, no types).

Planned tools return a clean error

geometry_get, raycast, gherkin_check, and export_pdf_report are registered so agents can discover them, but they currently return an UNSUPPORTED_OPERATION result rather than data. Mesh geometry (geometry_get) and raycast need the WASM geometry pipeline; gherkin_check awaits the bSI Gherkin grammar; export_pdf_report is slated for a later release.

Resources

Live model state is exposed as MCP resources under the ifc-lite:// URI scheme, so an agent can read current state without a tool round-trip:

ifc-lite://server/manifest
ifc-lite://model/{model_id}/manifest
ifc-lite://model/{model_id}/entity/{global_id}
ifc-lite://model/{model_id}/spatial-tree
ifc-lite://model/{model_id}/materials
ifc-lite://model/{model_id}/property-sets
ifc-lite://viewer/status            (open/closed, port, client count)
ifc-lite://viewer/selection         (live; supports resources/subscribe for push updates)

Prompts

The server ships pre-baked prompts that encode BIM expertise, so an agent can run a whole workflow from one prompt: audit_model, find_fire_rated_doors, generate_bcf_from_ids, compare_versions, space_program_check, clash_review, prop_quality_pass, migrate_to_ifcx, visual_audit, interactive_property_inspect, and visualize_query.

Live 3D viewer

When the viewer is open, every viewer-touching tool drives the live scene, and any element the user clicks in the browser flows back to the agent. The intended etiquette is:

  1. Call viewer_ask with a reason; it returns suggested wording so the agent can ask the user for permission.
  2. After the user agrees, call viewer_open; the result includes the URL to share.
  3. Drive the visualization with viewer_colorize, viewer_color_by_property, viewer_isolate, viewer_fly_to, viewer_set_section, and friends.
  4. Subscribe to ifc-lite://viewer/selection to be notified on each pick. viewer_get_selection reads the latest pick; viewer_wait_for_selection blocks until the next click.
  5. viewer_close when done.

Wiring it into a client

Register the server with the claude mcp add command:

claude mcp add ifc-lite -- npx -y @ifc-lite/mcp /abs/path/to/model.ifc

Or commit a project-scoped .mcp.json so the whole team shares it:

{
  "mcpServers": {
    "ifc-lite": {
      "command": "npx",
      "args": ["-y", "@ifc-lite/mcp", "/abs/path/to/model.ifc"]
    }
  }
}

Add the server to claude_desktop_config.json:

{
  "mcpServers": {
    "ifc-lite": {
      "command": "npx",
      "args": ["-y", "@ifc-lite/mcp", "/abs/path/to/model.ifc"]
    }
  }
}

Restart Claude Desktop and the ifc-lite tools appear in the tool picker.

Start the server over HTTP, then point any MCP-aware Streamable HTTP client at it with the bearer token:

ifc-lite mcp ./model.ifc --transport http --port 8765 --token my-secret
Endpoint:   http://127.0.0.1:8765
Header:     Authorization: Bearer my-secret

Remember to call model_load first: an HTTP session starts empty.

Cursor, Windsurf, Goose, and Zed all accept the same npx @ifc-lite/mcp <file> stdio command.

Errors that keep the agent in the loop

Domain errors come back inside the tool result with isError: true and a stable structuredContent.code, rather than aborting the JSON-RPC call. That keeps the model reasoning instead of failing the chain:

{
  "isError": true,
  "content": [{ "type": "text", "text": "Entity not found in model 'arch'" }],
  "structuredContent": {
    "code": "ENTITY_NOT_FOUND",
    "details": { "model_id": "arch", "express_id": 42 },
    "hint": "Use query_entities to discover valid IDs."
  }
}

Programmatic embedding

For a Tauri, Electron, or Node host, build a server and wire it to a transport directly. The public surface is exported from @ifc-lite/mcp:

import {
  createMCPServer,
  StdioTransport,
  loadIfcModel,
  InMemoryModelRegistry,
} from '@ifc-lite/mcp';

const registry = new InMemoryModelRegistry();
registry.add(await loadIfcModel('./model.ifc'));

const server = createMCPServer({ version: '0.1.0', registry });
const transport = new StdioTransport();
await transport.connect(server);

For an in-process host (no child process, no sockets), use InProcessTransport and send JSON-RPC envelopes directly:

import { InProcessTransport } from '@ifc-lite/mcp';

const transport = new InProcessTransport();
await transport.connect(server);

const initResp = await transport.send({
  jsonrpc: '2.0',
  id: 1,
  method: 'initialize',
  params: {
    protocolVersion: '2025-11-05',
    capabilities: {},
    clientInfo: { name: 'host', version: '1' },
  },
});

The server negotiates MCP protocol version 2025-11-05 and accepts the neighbouring published revisions, downgrading anything it does not recognize.

Why agents plus BIM

MCP is the richest integration: stateful sessions, live viewer control, subscriptions, and a permission model. But it is not the only way to give an agent BIM capability. If your agent already runs shell commands, the CLI is often enough:

  • ifc-lite ask model.ifc "how many walls?" answers common questions in plain language through a local recipe engine, with no external AI service involved.
  • ifc-lite eval model.ifc "<expr>" runs arbitrary SDK expressions, and ifc-lite schema dumps the full API so an agent can discover it first.

Reach for MCP when you want the model held open across a conversation, the viewer in the loop, or scoped permissions. Reach for the CLI when a one-shot command answers the question. Both share the same kernel, so results are consistent either way.

See the @ifc-lite/mcp README for the complete tool and resource catalogue.