Create 4D construction simulations by linking BIM elements to project schedules. Generate time-based visualizations, sequence analysis, and construction phasing with Gantt integration.
日本語の概要は準備中です。原文の説明を表示しています。
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.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
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).まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Create 4D construction simulations by linking BIM elements to project schedules. Generate time-based visualizations, sequence analysis, and construction phasing with Gantt integration.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze 5000+ IFC and Revit projects at scale for patterns, benchmarks, and insights. Big data analysis for construction.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
Create Apache Airflow DAGs for construction data pipelines. Orchestrate ETL, validation, and reporting workflows.
日本語の概要は準備中です。原文の説明を表示しています。
Automate as-built documentation and digital handover for construction. Compile project records, generate O&M manuals, create asset databases, and ensure complete project closeout.
日本語の概要は準備中です。原文の説明を表示しています。