pyp6xer-mcp

Primavera P6 schedule analysis for AI assistants. Load an XER file, ask questions about critical path, float, schedule quality, earned value — get answers in seconds.

Works with Claude Desktop, ChatGPT, Claude.ai, or self-hosted with the included web UI.

Live server: https://pyp6xer-mcp.fly.dev/mcp (open, no key needed) PyPI: pip install pyp6xer-mcp Loading your own files | Authentication | Development

---

The server has three sample projects pre-loaded. Connect and start asking questions — no upload needed.

| Cache Key | Sector | Activities | |-----------|--------|------------| | cairo-alex-road | Roads | 57 | | hilal-oil-gas | Oil & Gas | 31 | | terminal-building-airport | Infrastructure | 66 |

Example prompts:

• *"Show the critical path for cairo-alex-road"*
• *"Run a schedule health check on terminal-building-airport"*
• *"Analyze float distribution for terminal-building-airport"*

---

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "pyp6xer": {
      "command": "uvx",
      "args": ["pyp6xer-mcp"]
    }
  }
}

Runs locally via stdio. Load your own XER files by path: *"Load /path/to/project.xer and analyze the critical path"*

Add the remote server in your MCP settings:

https://pyp6xer-mcp.fly.dev/mcp

No API key needed. The sample projects above are ready to query. To analyze your own file, say *"I need to upload a P6 schedule"* — the AI will generate an upload link you can open in your browser.

git clone https://gitlab.com/articat1066/pyp6xer-mcp.git
cd pyp6xer-mcp
echo "OPENAI_API_KEY=sk-xxx" > .env
docker compose up

Open http://localhost:3000 — upload an XER file and start asking questions. The MCP server runs at http://localhost:5000 with sample projects auto-loaded.

Uses gpt-4