Create 4D construction simulations by linking BIM elements to project schedules. Generate time-based visualizations, sequence analysis, and construction phasing with Gantt integration.
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Connect OpenConstructionERP to AI coding assistants via MCP (Model Context Protocol): expose costs, BOQ, BIM and catalog endpoints as MCP tools so Claude Code / Antigravity / OpenCode can drive the platform. Use when wiring an assistant to the ERP.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
MCP (Model Context Protocol) is the 2026 standard for giving AI assistants tools. Wrapping OpenConstructionERP's REST API in an MCP server turns the assistant from a chat partner into an operator: it can load a cost base, search items, build a BOQ and read validation results itself.
| MCP tool | Underlying API | Notes |
|---|---|---|
list_cost_bases | GET /api/v1/costs/base-catalog | families, variants, positions, loaded badge |
load_cost_base | POST /api/v1/costs/load-cwicr/{db_id} | idempotent, returns imported/skipped |
search_cost_items | GET /api/v1/costs/?region=...&q=... | SQL path, works without Qdrant |
get_cost_item | GET /api/v1/costs/{id} | full components[] + classification |
category_tree | GET /api/v1/costs/category-tree/?region=... | browsing |
suggest_for_element | POST /api/v1/costs/suggest-for-element | BIM element → cost ranking |
create_boq / validate_boq | POST /api/v1/boqs, /boqs/{id}/validate/ | estimating |
import_catalog | POST /api/v1/catalog/import/{region} | resource catalog |
// mcp-server: FastMCP wrapper around the ERP's FastAPI backend
import { FastMCP } from "fastmcp";
const ERP = process.env.OPENESTIMATE_URL ?? "http://localhost:8000";
const server = new FastMCP({ name: "openconstructionerp" });
server.addTool({
name: "load_cost_base",
description: "Load a CWICR cost base (e.g. TR_NATIONAL, ZH_CHINA) into the ERP.",
parameters: { db_id: { type: "string", required: true } },
execute: async ({ db_id }) => {
const r = await fetch(`${ERP}/api/v1/costs/load-cwicr/${db_id}`, {
method: "POST",
headers: { Authorization: `Bearer ${process.env.ERP_TOKEN}` },
});
return await r.json();
},
});
server.addTool({
name: "search_cost_items",
description: "Search cost items in a region by keyword.",
parameters: { region: { type: "string" }, q: { type: "string" } },
execute: async ({ region, q }) => {
const r = await fetch(`${ERP}/api/v1/costs/?region=${region}&q=${encodeURIComponent(q)}&limit=20`,
{ headers: { Authorization: `Bearer ${process.env.ERP_TOKEN}` } });
return await r.json();
},
});
server.start({ transportType: "stdio" });
load_cost_base returns already_loaded on repeat.ERP_TOKEN).api_rate_limit (200/min default).아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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Create 4D construction simulations by linking BIM elements to project schedules. Generate time-based visualizations, sequence analysis, and construction phasing with Gantt integration.
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Analyze 5000+ IFC and Revit projects at scale for patterns, benchmarks, and insights. Big data analysis for construction.
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Check construction AI systems against the EU AI Act (Regulation 2024/1689): classify risk of estimation, scheduling, CV and agent tools, document transparency, keep human oversight. Use when deploying or auditing AI in construction.
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Orchestrate multiple AI agents for construction workflows: estimator, scheduler, document, QA and safety agents coordinated by a supervisor agent, with human checkpoints. Use when automating end-to-end project processes with agentic AI.
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Create Apache Airflow DAGs for construction data pipelines. Orchestrate ETL, validation, and reporting workflows.
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Automate as-built documentation and digital handover for construction. Compile project records, generate O&M manuals, create asset databases, and ensure complete project closeout.
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