P6XER MCP Server
# P6XER MCP Server
mcp-name: io.github.osama-ata/p6xer-mcp-server
[](https://badge.fury.io/py/p6xer-mcp-server)
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A full-featured [Model Context Protocol (MCP)](https://modelcontextprotocol.io) server for **Primavera P6 XER** files, built on [PyP6XER](https://github.com/HassanEmam/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_xer_file` | Parse an XER file β 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 β€ 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` | Resourceβactivity 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) |
### π 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 |
### π¬ Prompts (2)
| Prompt | Types |
|--------|-------|
| `analyze_xer_project` | `general` Β· `schedule` Β· `resources` Β· `progress` Β· `quality` |
| `xer_reporting_prompt` | `executive` Β· `detailed` Β· `critical_path` Β· `resource` Β· `milestone` |
---
## οΏ½ Install from Store
### Via PyPI (uvx β no install needed)
```bash
uvx p6xer-mcp-server
```
### Via PyPI (pip)
```bash
pip install p6xer-mcp-server
p6xer-mcp-server
```
### Via Smithery
Search for `p6xer-mcp-server` on [smithery.ai](https://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:
```bash
claude mcp add p6xer -- uvx p6xer-mcp-server
```
### Claude Desktop config (after PyPI install)
```json
{
"mcpServers": {
"p6xer": {
"command": "uvx",
"args": ["p6xer-mcp-server"]
}
}
}
```
---
## οΏ½π¦ 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
```
---
## π 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
```
---
## π Claude Desktop
Add to `claude_desktop_config.json`:
```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`
## π Claude Code (CLI)
```bash
claude mcp add p6xer -- uvx p6xer-mcp-server
```
---
## π¬ 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.xer
```
---
## π Tool Reference
### Filter parameters (most tools accept)
- `project_id` β numeric P6 project ID (e.g. `"1234"`)
- `project_short_name` β 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.md
```
---
## π Requirements
- Python β₯ 3.10
- `mcp[cli] >= 1.6.0, < 2.0.0`
- `pyp6xer >= 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:
- 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
```
TDQS
Scored across 13 tools
Each tool targets a distinct aspect of Primavera P6 XER analysis: resource utilization, schedule quality, activity details, calendars, critical path, earned value, filters, relationships, assignments, resources, summary, WBS, and initial parsing. No overlapping purposes.
All tools follow a consistent verb_noun pattern in snake_case (e.g., analyze_resource_utilization, check_schedule_quality, get_activity_detail). The naming is predictable and clear.
13 tools is well-scoped for a specialized domain like P6 XER file analysis. Each tool earns its place, covering parsing, activities, resources, schedules, EVM, and WBS without being excessive.
The tool surface covers the full analysis lifecycle: initial file parsing, detailed views of activities/resources/schedules, critical path, EVM, schedule quality, and summary. No obvious gaps for an analysis-oriented tool.