project-mcp
MCP server that enables LLMs to read and analyze Microsoft Project schedules, including critical path, resources, and advanced construction planning layers (AWP and LPS) for work packages and Lean planning.
README
project-mcp
🇺🇸 English · 🇧🇷 Versão em português
Model Context Protocol (MCP) server that exposes Microsoft Project files to LLM clients like Claude Desktop and Claude Code. Reads schedules, resources, dependencies, critical-path data, and baseline variance — and adds AWP (Advanced Work Packaging, CII) and LPS (Last Planner System, Lean) layers for work-package planning, constraints, weekly commitments and PPC tracking. All local, no cloud calls, no Microsoft Project license required.
Why
Construction, engineering, and BIM workflows live in Microsoft Project schedules. This server lets your LLM:
- Inspect a project schedule and answer questions about it (deadlines, critical path, resource overload).
- Cross-reference task data with quantities from BIM models or with cost data from Power BI dashboards.
- Generate JSON exports for downstream automation (dashboards, reports, ETL pipelines).
It's read-only by design. Project edits stay where they belong: in Microsoft Project itself.
Requirements
- Python 3.11+
- An MCP-compatible client (Claude Desktop, Claude Code, etc.)
- For
.xml(MSPDI): no extra dependencies - For
.mpp(native Microsoft Project): the optional[mpp]extra (requires a JVM via thempxjpackage)
Installation
Option A — uv (recommended)
git clone https://github.com/jeffmodeler/project-mcp.git
cd project-mcp
uv sync
Option B — pip
pip install git+https://github.com/jeffmodeler/project-mcp.git
For .mpp support:
uv sync --extra mpp
# or
pip install "project-mcp[mpp] @ git+https://github.com/jeffmodeler/project-mcp.git"
Claude Desktop integration
Add to your claude_desktop_config.json:
{
"mcpServers": {
"project-mcp": {
"command": "uv",
"args": [
"--directory",
"C:\\path\\to\\project-mcp",
"run",
"project-mcp"
]
}
}
}
Restart Claude Desktop. The 35 tools become available in any conversation (13 core MS Project + 10 AWP + 12 LPS).
Tools
| Tool | Purpose |
|---|---|
load_project |
Load an MSPDI .xml or .mpp file into memory |
project_info |
Title, author, schedule window, currency, aggregate counts |
list_tasks |
Filter tasks by type, criticality, name substring, top N |
get_task |
Full record of a single task by UID, ID, or name |
list_resources |
Resources, optionally filtered by type or overallocation |
get_resource_assignments |
Assignments for one or all resources |
find_overallocated_resources |
Resources flagged as overallocated |
get_critical_path |
Tasks on the critical path, sorted by start date |
get_predecessors_successors |
Dependency network for a task |
get_baseline_variance |
Current vs baseline date and duration comparison |
get_gantt_data |
Tasks formatted for Gantt-chart libraries |
export_to_json |
Full project export to JSON file (or inline) |
generate_pbip_dashboard |
Generate a Power BI Project (.pbip) and open it in Power BI Desktop |
Exporting .mpp to MSPDI XML
If you don't want to install Java for the optional mpp extra, export your
schedule from Microsoft Project as XML:
- Open the
.mppfile in Microsoft Project. - File → Save As → Save as Type → XML Format (*.xml).
- Point
load_projectat the resulting.xml.
The XML format is the official Microsoft Project Data Interchange (MSPDI) schema and contains tasks, resources, assignments, predecessors, baseline, and most of the project metadata.
Example prompts
After loading a project, ask Claude:
Load the project at C:\schedules\obra-acme.xml
Give me the critical path with total duration in days.
Which resources are overallocated and by how much?
List the 5 tasks with the largest baseline variance.
Export the full project to C:\reports\obra-acme.json
AWP — Advanced Work Packaging
Construction Industry Institute (CII) methodology. Breaks execution into aligned packages across engineering, procurement and field:
CWA (Construction Work Area) → CWP (Construction Work Package)
↓
IWP (Installation Work Package)
Focus: path of construction + readiness (nothing starts in the field until materials, documents and access are available).
AWP tools
| Tool | Purpose |
|---|---|
awp_list_cwa |
List Construction Work Areas |
awp_upsert_cwa |
Create or update a CWA |
awp_list_cwp |
List CWPs with task_count, total_hours, any_critical |
awp_upsert_cwp |
Create or update a CWP (status: planned/ready/in-progress/complete/on-hold) |
awp_assign_task_to_cwp |
Link a task UID to a CWP (moves it if already elsewhere) |
awp_set_cwp_requirements |
Set CWP requirements (materials, documents, access) |
awp_readiness_check |
Check whether a CWP is ready — compares requirements vs available |
awp_path_of_construction |
Sequence CWPs by earliest start, with critical-task counts |
awp_generate_iwps |
Split a CWP into IWPs sized by labor hours |
awp_export_wpr |
Generate a Work Package Release — self-contained JSON for field teams |
LPS — Last Planner System
Lean Construction method with five planning levels:
Master → Phase (pull plan) → Lookahead (N weeks, clears constraints)
→ WWP (Weekly Work Plan) → Daily huddle
Key metric: PPC (Percent Plan Complete) — commitments kept / commitments made.
LPS tools
| Tool | Purpose |
|---|---|
lps_list_phases |
List project phases |
lps_upsert_phase |
Create or update a phase (with start/end dates) |
lps_set_pull_plan |
Set execution sequence (pull planning) with task UIDs |
lps_get_pull_plan |
Retrieve a phase's pull plan |
lps_register_constraint |
Register a constraint (material/document/labor/equipment/access/permit/…) |
lps_clear_constraint |
Mark a constraint as resolved |
lps_list_constraints |
List with filters by task, status, type |
lps_lookahead |
N-week horizon with ready/blocked tasks (from open constraints) |
lps_add_commitment |
Add a commitment to a weekly work plan (ISO week e.g. 2026-W03) |
lps_mark_complete |
Close a commitment with actual_hours or variance_reason |
lps_get_wwp |
Read a weekly work plan |
lps_ppc |
Compute PPC for a single week or a series of the last N weeks |
Constraint types: material, document, information, design, labor, equipment, access, permit, prerequisite, other.
Variance reasons: weather, design_change, material_delay, labor_unavailable, equipment_breakdown, rework, permit, prerequisite_incomplete, scope_change, other.
Sidecar storage
The .mpp/.xml file remains authoritative (read-only preserved). Next to
the project file, an <name>.awp/ folder holds metadata that Microsoft
Project does not represent well:
C:\schedules\
├── obra-acme.mpp ← authoritative schedule (never modified)
└── obra-acme.awp/ ← sidecar folder, created on demand
├── awp.json ← CWA / CWP / IWP hierarchy
└── lps.json ← phases, pull plans, constraints, WWPs
Every write updates updated_at (ISO 8601 UTC) in the JSON.
Development
uv sync --extra dev
uv run pytest -v
uv run ruff check src tests
License
MIT — see LICENSE.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。