P6XER MCP Server

mcp-name: io.github.osama-ata/p6xer-mcp-server

A full-featured Model Context Protocol (MCP) server for Primavera P6 XER files, built on PyP6XER.

Exposes 13 Tools, 3 Resources, and 2 Prompts so any MCP-compatible AI client (Claude Desktop, Claude Code, Cursor, etc.) can interactively parse, query, and analyze .xer schedule files.

🚀 Features

🔧 Tools (13)

Tool	Description
`parse_xer_file`	Parse an XER file — project list, totals, status breakdowns
`get_project_activities`	Activities with filters: project_id, project_short_name, status, task_type
`get_critical_path`	Critical path activities (float ≤ 0), sorted by early start
`analyze_resource_utilization`	Planned/actual hours & costs per resource; over-allocation flags
`check_schedule_quality`	DCMA-style check: missing logic, long durations, high float, unresourced tasks
`get_resources`	List resources, optionally filtered by type
`get_resource_assignments`	Resource–activity assignments with enriched names and costs
`get_wbs`	Work Breakdown Structure hierarchy
`get_relationships`	Predecessor/successor relationships enriched with task codes
`get_calendars`	Calendar definitions with hours-per-period data
`get_schedule_summary`	At-a-glance stats: counts, date range, critical count
`get_earned_value`	EVM: PV, EV, AC, CV, SV, CPI, SPI, EAC per project
`get_activity_detail`	Full detail for one activity (preds + succs + resources)

📋 Resources (3)

URI	Description
`xer-project://{file_path}/{project_id}`	Detailed text summary of a specific project
`xer-activities://{file_path}`	Activities summary with status breakdown and duration stats
`xer-resources://{file_path}`	Resources summary with type breakdown and assignment stats

💬 Prompts (2)

Prompt	Types
`analyze_xer_project`	`general` · `schedule` · `resources` · `progress` · `quality`
`xer_reporting_prompt`	`executive` · `detailed` · `critical_path` · `resource` · `milestone`

� Install from Store

Via PyPI (uvx — no install needed)

bash

uvx p6xer-mcp-server

Via PyPI (pip)

Terminal

pip install p6xer-mcp-server
p6xer-mcp-server

Via Smithery

Search for p6xer-mcp-server on smithery.ai and click Install. It will generate the correct Claude Desktop config automatically.

Via GitHub MCP Registry

The server is listed in the GitHub MCP Registry. In Claude Code:

Terminal

claude mcp add p6xer -- uvx p6xer-mcp-server

Claude Desktop config (after PyPI install)

config.json

{
  "mcpServers": {
    "p6xer": {
      "command": "uvx",
      "args": ["p6xer-mcp-server"]
    }
  }
}

�📦 Installation

bash

# Clone the repo
git clone https://github.com/osama-ata/p6xer-mcp-server.git
cd p6xer-mcp-server

# Install with uv (recommended)
uv sync

# Or with pip
pip install "mcp[cli]>=1.6.0,<2.0.0" pyp6xer

🏃 Running

Development / MCP Inspector:

bash

uv run mcp dev src/p6xer_mcp_server/server.py

Stdio (Claude Desktop / Claude Code):

bash

uv run p6xer-mcp-server

🔌 Claude Desktop

Add to claude_desktop_config.json:

config.json

{
  "mcpServers": {
    "p6xer": {
      "command": "uvx",
      "args": ["p6xer-mcp-server"]
    }
  }
}

Config file locations:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
Linux: ~/.config/Claude/claude_desktop_config.json

🔌 Claude Code (CLI)

Terminal

claude mcp add p6xer -- uvx p6xer-mcp-server

💬 Example Prompts

Once connected:

Code

Parse project.xer and give me an overview of all projects

What are all the critical path activities, sorted by start date?

Run a DCMA schedule quality check on project.xer

Calculate earned value metrics — what are the CPI and SPI?

Show all resource assignments for "John Smith"

What are the predecessors and successors of activity A1000?

List all over-allocated labor resources

Generate an executive summary report for project.xer

📊 Tool Reference

Filter parameters (most tools accept)

project_id – numeric P6 project ID (e.g. "1234")
project_short_name – project short name string (e.g. "PROJ1")

Status codes

TK_NotStart · TK_Active · TK_Complete

Task types

TT_Task · TT_Mile · TT_FinMile · TT_WBS

Resource types

RT_Labor · RT_Mat · RT_Equip

🗂️ Project Structure

Code

p6xer-mcp-server/
├── src/
│   └── p6xer_mcp_server/
│       ├── __init__.py
│       └── server.py       # All tools, resources, and prompts
├── manifest.json           # MCPB bundle manifest
├── mcp.json                # MCP registry metadata
├── smithery.yaml           # Smithery registry configuration
├── pyproject.toml
└── README.md

📋 Requirements

Python ≥ 3.10
mcp[cli] >= 1.6.0, < 2.0.0
pyp6xer >= 1.16.0

📄 License

MIT

🚢 Publishing to PyPI (GitHub Actions + Trusted Publishing)

This repository includes a release workflow at .github/workflows/publish-to-pypi.yml based on the PyPA guide and pypa/gh-action-pypi-publish.

1) Configure Trusted Publishers

Create trusted publishers for this exact workflow file:

PyPI: https://pypi.org/manage/account/publishing/
TestPyPI: https://test.pypi.org/manage/account/publishing/

Use these values:

Owner: osama-ata
Repository: p6xer-mcp-server
Workflow file: publish-to-pypi.yml
Environment: pypi (for PyPI), testpypi (for TestPyPI)
Project name: p6xer-mcp-server

2) Create GitHub Environments

In repository settings, create two environments:

pypi
testpypi

Recommended security setup:

Require manual approval for pypi
No approval required for testpypi

3) Build locally (optional sanity check)

bash

python -m pip install --upgrade build twine
python -m build
python -m twine check dist/*

4) Release flow

Push to main: publishes to TestPyPI
Push tag v* (for example v0.1.1): publishes to PyPI

bash

git tag v0.1.1
git push origin v0.1.1