P6XER MCP Server

P6XER MCP Server is a specialized Model Context Protocol (MCP) implementation that exposes the functionality of PyP6XER—a Python library for working with Primavera P6 XER files—to AI assistants and other MCP‑compatible clients. By turning a complex set of project‑management tools into a well‑defined, machine‑readable API, the server solves a common pain point for developers: integrating Primavera data into conversational agents or automated workflows without writing custom parsers.

At its core, the server offers a suite of tools that perform routine project‑management tasks. These include parsing an XER file for high‑level project metadata, extracting activity lists (optionally filtered by project), computing the critical path, and evaluating resource allocation and schedule quality. Each tool is described in an MCP manifest, allowing a language model to invoke it with natural‑language prompts that are automatically translated into the correct function call. This eliminates the need for developers to write glue code or manually map user intent to API calls.

Beyond tools, the server provides resource URLs that expose structured views of projects, activities, and resources. A client can simply request to receive a JSON representation of a single project, or for a comprehensive summary of all activities. These resources enable quick look‑ups and data retrievals that can be chained together in a larger workflow.

The prompts layer adds another dimension of convenience. Pre‑built prompt templates such as and allow an AI assistant to generate context‑aware analysis or report drafts on the fly. By selecting from predefined analysis types (e.g., , ) or report styles (, ), users can obtain ready‑to‑use text that reflects industry best practices, all without manual template creation.

In practice, this MCP server is invaluable for several real‑world scenarios:

• Project Management Automation – A PM tool can automatically fetch the latest critical path and resource utilization, flagging over‑allocated resources or schedule risks.
• Quality Assurance – Automated checks on schedule logic (missing predecessors, long activities) can be run continuously as new XER files are uploaded.
• Reporting Pipelines – Executive or detailed reports can be generated on demand, feeding dashboards or email digests.
• Data Integration – External systems such as BI platforms can pull project data through the resource URLs, enabling real‑time analytics without custom ETL scripts.

By exposing a clean, MCP‑compliant interface to Primavera data, the P6XER server empowers developers and AI assistants alike to build sophisticated project‑management solutions that are both maintainable and scalable.