DDC_Skills_for_AI_Agents_in_Construction MCP — Cas d'usage, Installer & Démo en direct

Pourquoi l'utiliser

Fonctionnalités clés

Breadth: 221 sub-skills across the construction lifecycle
BIM data handling (IFC parsing, Revit exports, model audits)
Cost estimation templates and WBS conventions
Scheduling helpers (P6/MS Project-adjacent)
Document control: submittals, RFIs, change orders

Démo en direct

Aperçu en pratique

ddc-skills-for-ai-agents-in-construction-skill.replay ▶ prêt

0/0

Installer

Choisissez votre client

~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "ddc-skills-for-ai-agents-in-construction-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction",
        "~/.claude/skills/DDC_Skills_for_AI_Agents_in_Construction"
      ],
      "_inferred": true
    }
  }
}

Ouvrez Claude Desktop → Settings → Developer → Edit Config. Redémarrez après avoir enregistré.

~/.cursor/mcp.json · .cursor/mcp.json

{
  "mcpServers": {
    "ddc-skills-for-ai-agents-in-construction-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction",
        "~/.claude/skills/DDC_Skills_for_AI_Agents_in_Construction"
      ],
      "_inferred": true
    }
  }
}

Cursor utilise le même schéma mcpServers que Claude Desktop. La config projet l'emporte sur la globale.

VS Code → Cline → MCP Servers → Edit

{
  "mcpServers": {
    "ddc-skills-for-ai-agents-in-construction-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction",
        "~/.claude/skills/DDC_Skills_for_AI_Agents_in_Construction"
      ],
      "_inferred": true
    }
  }
}

Cliquez sur l'icône MCP Servers dans la barre latérale Cline, puis "Edit Configuration".

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "ddc-skills-for-ai-agents-in-construction-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction",
        "~/.claude/skills/DDC_Skills_for_AI_Agents_in_Construction"
      ],
      "_inferred": true
    }
  }
}

Même format que Claude Desktop. Redémarrez Windsurf pour appliquer.

~/.continue/config.json

{
  "mcpServers": [
    {
      "name": "ddc-skills-for-ai-agents-in-construction-skill",
      "command": "git",
      "args": [
        "clone",
        "https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction",
        "~/.claude/skills/DDC_Skills_for_AI_Agents_in_Construction"
      ]
    }
  ]
}

Continue utilise un tableau d'objets serveur plutôt qu'une map.

~/.config/zed/settings.json

{
  "context_servers": {
    "ddc-skills-for-ai-agents-in-construction-skill": {
      "command": {
        "path": "git",
        "args": [
          "clone",
          "https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction",
          "~/.claude/skills/DDC_Skills_for_AI_Agents_in_Construction"
        ]
      }
    }
  }
}

Ajoutez dans context_servers. Zed recharge à chaud à la sauvegarde.

claude mcp add ddc-skills-for-ai-agents-in-construction-skill -- git clone https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction ~/.claude/skills/DDC_Skills_for_AI_Agents_in_Construction

Une seule ligne. Vérifiez avec claude mcp list. Supprimez avec claude mcp remove.

Cas d'usage

Usages concrets : DDC_Skills_for_AI_Agents_in_Construction

How to audit a BIM IFC model for basic data quality

👤 BIM coordinators and VDC teams ⏱ ~60 min advanced

Quand l'utiliser : You receive an IFC file from a consultant and need a quality check.

Prérequis

Python with ifcopenshell — pip install ifcopenshell
Skill cloned — git clone https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction ~/.claude/skills/DDC_Skills_for_AI_Agents_in_Construction

Déroulement

Parse the IFC

Audit model.ifc — count entities by class, find missing Psets, flag orphan geometry.✓ Copié

→ Entity counts + quality flags
Check naming and classification

Verify wall and room naming against our company standard.✓ Copié

→ Per-element conformance report
Produce a coordinator-ready report

Generate an issue list the consultant can act on.✓ Copié

→ Ordered issue list

Résultat : A model audit report you can send back in under an hour.

Pièges

Huge IFC files exceed memory — Stream-parse rather than load full tree; or pre-filter by spatial structure

Combiner avec : filesystem

Produce a quick order-of-magnitude cost estimate

👤 Estimators, PMs, bid teams ⏱ ~30 min intermediate

Quand l'utiliser : Early-phase numbers for a concept before you commit to a detailed estimate.

Déroulement

Describe the project

Concrete frame office, ~12,000 sqm, Tier-1 city, shell-only. Give me a per-sqm cost range.✓ Copié

→ Range with the assumptions stated
Break into WBS

Break the estimate into WBS sections with % allocations.✓ Copié

→ Top-level WBS with line items
Flag risks

List the top 5 cost risks for this concept.✓ Copié

→ Risks with impact

Résultat : A defensible concept estimate ready for internal review.

Pièges

Using global averages without local adjustment — Always override with local benchmarks when you have them

Review a construction schedule for common issues

👤 Schedulers and PMs ⏱ ~30 min intermediate

Quand l'utiliser : You got a schedule from a subcontractor and need to check for the obvious red flags.

Déroulement

Feed the schedule

Review schedule.xlsx — flag missing logic, negative float, open ends, and unrealistic durations.✓ Copié

→ Categorized findings
Prioritize

Rank by impact on completion date.✓ Copié

→ Sorted list

Résultat : Quick surface-level schedule review that catches 80% of common problems.

Pièges

Missing CPM-level analysis — For real float analysis, export from P6 rather than relying on Excel

Combinaisons

Associez-le à d'autres MCPs pour un effet X10

ddc-skills-for-ai-agents-in-construction-skill + filesystem

Process a whole project folder of IFCs, schedules, and docs

Walk project/ and produce a weekly coordination packet.✓ Copié

Outils

Ce que ce MCP expose

Outil	Entrées	Quand appeler	Coût
bim-audit	IFC path	On any incoming IFC	ifcopenshell compute
cost-estimation	project concept	Early phase	0
schedule-review	schedule export	Sub-submittal review	0
document-control	RFIs/submittals/COs	Project admin	0

Coût et limites

Coût d'exécution

Quota d'API: none
Tokens par appel: 5–30k per task
Monétaire: free at skill level
Astuce: Use only the sub-skills relevant to your role — this bundle is wide

Sécurité

Permissions, secrets, portée

Stockage des identifiants : none

Sortie de données : none

Construction estimates and schedules are often confidential — handle like other sensitive project data

Dépannage

Erreurs courantes et correctifs

ifcopenshell install fails

Use Python 3.10 or 3.11 and pip install ifcopenshell from a wheel matching your platform.

Vérifier : python -c 'import ifcopenshell; print(ifcopenshell.version)'

Estimates are wildly off

Override unit costs with your regional database; the skill uses generic benchmarks only

Alternatives

DDC_Skills_for_AI_Agents_in_Construction vs autres

Alternative	Quand l'utiliser	Compromis
generic csv-data-summarizer-claude-skill	Your construction data is CSV and you don't need BIM semantics	No domain knowledge

Plus

Ressources

📖 Lire le README officiel sur GitHub

🐙 Voir les issues ouvertes

🔍 Parcourir les 400+ serveurs MCP et Skills