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Read ProjectLibre .pod files to inspect tasks and analyze project schedules.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "projectlibre-mcp" yet — see the docs or source repo.
Please read this ProjectLibre .pod project file and summarize the main phases, key tasks, and current schedule risks shown in the Gantt chart.
A summary of project phases, a list of key tasks, and an overview of schedule risks.
Open this .pod file and list all task names, start dates, end dates, durations, and dependencies.
A structured task list for reviewing schedule details and dependencies.
Analyze the schedule in this ProjectLibre project file and identify potentially delayed tasks and timing conflicts.
Potentially delayed tasks, conflict points, and brief schedule analysis findings.
Project managers or office workers can read .pod files directly when they cannot open the ProjectLibre client. It helps them quickly review Gantt charts, task structures, and overall progress.
Users can inspect task details, durations, and dependencies to verify how work is organized. This is useful during project reviews or planning checks.
When a team needs to assess timeline risks, it can use the tool to analyze schedules and spot possible delay points. It is useful for project tracking and early risk review.
It is a read-only MCP server for reading ProjectLibre .pod files. It can find project files, summarize Gantt charts, inspect task information, and analyze project schedules.
No. The description explicitly says it is read-only, so it is intended for viewing and analysis rather than editing project files.
No. Its main value is that it can analyze .pod project files without opening ProjectLibre. For installation or runtime prerequisites, see the source repository.
Read, analyze, create, and edit ProjectLibre project files.
Read and analyze project schedule files to answer task and progress questions.
Manage project tasks, milestones, decisions, and team messaging via MCP.
Analyze Python projects, docs, and OpenAPI specs to understand codebases faster.
Use AI to understand codebases, key files, and project flows quickly.
Read and manage OpenProject data with guarded tools and confirmed write actions.