P6XER MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@P6XER MCP ServerParse project.xer and summarize all projects"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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.
π Features
π§ Tools (13)
Tool | Description |
| Parse an XER file β project list, totals, status breakdowns |
| Activities with filters: project_id, project_short_name, status, task_type |
| Critical path activities (float β€ 0), sorted by early start |
| Planned/actual hours & costs per resource; over-allocation flags |
| DCMA-style check: missing logic, long durations, high float, unresourced tasks |
| List resources, optionally filtered by type |
| Resourceβactivity assignments with enriched names and costs |
| Work Breakdown Structure hierarchy |
| Predecessor/successor relationships enriched with task codes |
| Calendar definitions with hours-per-period data |
| At-a-glance stats: counts, date range, critical count |
| EVM: PV, EV, AC, CV, SV, CPI, SPI, EAC per project |
| Full detail for one activity (preds + succs + resources) |
π Resources (3)
URI | Description |
| Detailed text summary of a specific project |
| Activities summary with status breakdown and duration stats |
| Resources summary with type breakdown and assignment stats |
π¬ Prompts (2)
Prompt | Types |
|
|
|
|
οΏ½ Install from Store
Via PyPI (uvx β no install needed)
uvx p6xer-mcp-serverVia PyPI (pip)
pip install p6xer-mcp-server
p6xer-mcp-serverVia 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-serverClaude Desktop config (after PyPI install)
{
"mcpServers": {
"p6xer": {
"command": "uvx",
"args": ["p6xer-mcp-server"]
}
}
}οΏ½π¦ 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" pyp6xerπ Running
Development / MCP Inspector:
uv run mcp dev src/p6xer_mcp_server/server.pyStdio (Claude Desktop / Claude Code):
uv run p6xer-mcp-serverπ 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.jsonWindows:
%APPDATA%\Claude\claude_desktop_config.jsonLinux:
~/.config/Claude/claude_desktop_config.json
π Claude Code (CLI)
claude mcp add p6xer -- uvx p6xer-mcp-server㪠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 β 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.xerπ Tool Reference
Filter parameters (most tools accept)
project_idβ numeric P6 project ID (e.g."1234")project_short_nameβ project short name string (e.g."PROJ1")
Status codes
TK_NotStart Β· TK_Active Β· TK_Complete
Task types
TT_Task Β· TT_Mile Β· TT_FinMile Β· TT_WBS
Resource types
RT_Labor Β· RT_Mat Β· RT_Equip
ποΈ Project Structure
p6xer-mcp-server/
βββ src/
β βββ p6xer_mcp_server/
β βββ __init__.py
β βββ server.py # All tools, resources, and prompts
βββ manifest.json # MCPB bundle manifest
βββ mcp.json # MCP registry metadata
βββ smithery.yaml # Smithery registry configuration
βββ pyproject.toml
βββ README.mdπ Requirements
Python β₯ 3.10
mcp[cli] >= 1.6.0, < 2.0.0pyp6xer >= 1.16.0
π License
MIT
π’ 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-ataRepository:
p6xer-mcp-serverWorkflow file:
publish-to-pypi.ymlEnvironment:
pypi(for PyPI),testpypi(for TestPyPI)Project name:
p6xer-mcp-server
2) Create GitHub Environments
In repository settings, create two environments:
pypitestpypi
Recommended security setup:
Require manual approval for
pypiNo 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 TestPyPIPush tag
v*(for examplev0.1.1): publishes to PyPI
git tag v0.1.1
git push origin v0.1.1Resources
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