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P6XER MCP Server

P6XER MCP Server

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pypi.orgProductivity12Updated 31w ago

About P6XER MCP Server

P6XER MCP Server enables MCP-compatible AI clients to parse and analyze Primavera P6 XER schedule files. Built on PyP6XER, it provides tools, resources, and prompts for project activities, resources, schedule quality, and earned value.

Key features

  1. 01Parses XER project files
  2. 02Queries activities and critical paths
  3. 03Analyzes resource use and assignments
  4. 04Checks schedule quality
  5. 05Calculates earned value metrics
  6. 06Provides project resources and prompts

Use cases

  1. 01Summarize projects in an XER file
  2. 02Review critical path activities
  3. 03Check schedule quality and resource allocation
  4. 04Calculate project earned value metrics

MCP support

Exposes 13 tools, 3 resources, and 2 prompts for MCP clients to parse, query, and analyze .xer schedule files.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"p6xer": {
"command": "uvx",
"args": [
"p6xer-mcp-server"
],
"env": {
"P6XER_API_KEY": "<P6XER_API_KEY>",
"P6XER_ENDPOINT": "<P6XER_ENDPOINT>",
"P6XER_LOG_LEVEL": "<P6XER_LOG_LEVEL>"
}
}
}
}
Run commanduvx p6xer-mcp-server
Environment variables to set
P6XER_API_KEYSecretAPI key used to authenticate with p6xer service.
P6XER_ENDPOINTOptional p6xer endpoint URL (default uses local p6xer daemon).
P6XER_LOG_LEVELOptional log verbosity level (e.g., DEBUG, INFO, WARN, ERROR).

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypip6xer-mcp-server0.1.3

Tools

13

Saved tool list · updated 3w ago

ParameterTypeRequiredDescription
file_pathstringYes

Details

From the project README

P6XER MCP Server

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

PyPI version Python 3.12+ License: MIT MCP

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)
ToolDescription
parse_xer_fileParse an XER file — project list, totals, status breakdowns
get_project_activitiesActivities with filters: project_id, project_short_name, status, task_type
get_critical_pathCritical path activities (float ≤ 0), sorted by early start
analyze_resource_utilizationPlanned/actual hours & costs per resource; over-allocation flags
check_schedule_qualityDCMA-style check: missing logic, long durations, high float, unresourced tasks
get_resourcesList resources, optionally filtered by type
get_resource_assignmentsResource–activity assignments with enriched names and costs
get_wbsWork Breakdown Structure hierarchy
get_relationshipsPredecessor/successor relationships enriched with task codes
get_calendarsCalendar definitions with hours-per-period data
get_schedule_summaryAt-a-glance stats: counts, date range, critical count
get_earned_valueEVM: PV, EV, AC, CV, SV, CPI, SPI, EAC per project
get_activity_detailFull detail for one activity (preds + succs + resources)
📋 Resources (3)
URIDescription
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)
PromptTypes
analyze_xer_projectgeneral · schedule · resources · progress · quality
xer_reporting_promptexecutive · detailed · critical_path · resource · milestone

� Install from Store

Via PyPI (uvx — no install needed)
uvx p6xer-mcp-server
Via PyPI (pip)
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:

claude mcp add p6xer -- uvx p6xer-mcp-server
Claude Desktop config (after PyPI install)
{
  "mcpServers": {
    "p6xer": {
      "command": "uvx",
      "args": ["p6xer-mcp-server"]
    }
  }
}

�📦 Installation

# 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:

uv run mcp dev src/p6xer_mcp_server/server.py

Stdio (Claude Desktop / Claude Code):

uv run p6xer-mcp-server

🔌 Claude Desktop

Add to claude_desktop_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)

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

💬 Example Prompts

Once connected:

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

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:

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)
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
git tag v0.1.1
git push origin v0.1.1

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