osama-ata/p6xer-mcp-server
3.2
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The P6XER MCP Server is designed to provide machine-readable MCP manifests for PyP6XER modules, facilitating their use by AI models.
P6XER MCP Server
This is the Model Context Protocol (MCP) Server for P6 XER files, built on top of PyP6XER.
It exposes machine-readable MCP manifests for PyP6XER's modules for use by AI models such as:
- XER Parser
- XER Analyzer
- XER Converter
🚀 Features
🔧 Tools
parse_xer_file(file_path)- Parse Primavera P6 XER files and extract basic project informationget_project_activities(file_path, project_id?)- Get activities from XER files, optionally filtered by projectget_critical_path(file_path, project_id?)- Find critical path activities (zero or negative total float)analyze_resource_utilization(file_path)- Analyze resource allocation, hours, and costscheck_schedule_quality(file_path, project_id?)- Perform schedule quality checks and identify issues
📋 Resources
xer-project://{file_path}/{project_id}- Get detailed information about a specific projectxer-activities://{file_path}- Get comprehensive activities summary with status breakdownxer-resources://{file_path}- Get resources summary with type breakdown and assignment statistics
💬 Prompts
analyze_xer_project(file_path, analysis_type)- Generate analysis prompts for different types of project analysis- Analysis types:
general,schedule,resources,progress,quality
- Analysis types:
xer_reporting_prompt(file_path, report_type)- Generate prompts for creating professional project reports- Report types:
executive,detailed,critical_path,resource,milestone
- Report types:
� Installation
# Clone the repository
git clone https://github.com/osama-ata/p6xer-mcp-server.git
cd p6xer-mcp-server
# Install dependencies using uv (recommended)
uv sync
# Or install using pip
uv pip install mcp[cli] pyp6xer
�🚀 Running the standalone MCP development tools
uv run mcp
Open in your browser:
- MCP server status: http://localhost:8000
- Development tools interface
🏃♂️ Quick Start
-
Start the MCP server:
uv run --with mcp mcp run server.py -
Connect from your AI assistant or MCP client
-
Use the tools: Parse XER files, analyze critical paths, check resource utilization, and generate comprehensive reports
📊 What You Can Analyze
- Project Overview: Basic project information, activities count, resources, calendars
- Critical Path Analysis: Activities with zero or negative float, schedule risks
- Resource Utilization: Resource allocation, hours, costs, over-allocation detection
- Schedule Quality: Missing predecessors/successors, long duration activities, logic issues
- Progress Tracking: Activity status, completion percentages, schedule performance
🎯 Use Cases
- Project Management: Schedule analysis, resource optimization, progress tracking
- Quality Assurance: Schedule quality checks, best practices validation
- Reporting: Executive summaries, detailed analysis reports, milestone tracking
- Data Integration: Extract P6 data for external systems and dashboards
📋 Example Workflow
- Parse XER File:
parse_xer_file("project.xer")→ Get basic project info - Analyze Critical Path:
get_critical_path("project.xer", "PROJECT_ID")→ Find critical activities - Check Resources:
analyze_resource_utilization("project.xer")→ Review resource allocation - Quality Check:
check_schedule_quality("project.xer")→ Identify schedule issues - Generate Report: Use prompts to create comprehensive analysis reports
