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Read project models and outcome telemetry to inspect status and performance.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.sara-star-quant/presence-mcp" MCP server from askskill: Run: claude mcp add 'io-github-sara-star-quant-presence-mcp' -- npx -y presence-mcp
Please read the current project model from presence and summarize the project stage, key milestones, owners, and latest updates using read-only queries only.
A status summary including stage, milestones, owners, and recent changes.
Please read the last 30 days of outcome telemetry in presence and list core metric trends, unusual changes, and notable outcome shifts that need attention.
An overview of 30-day metric trends, anomalies, and outcome changes.
Using the project model and outcome telemetry in presence, compare planned goals with actual progress and identify the largest gaps with supporting data.
A gap analysis between plan and reality, highlighting the biggest deviations and supporting evidence.
Serve project info markdown to MCP clients for reading, summarizing, and Q&A.
Use AI to understand codebases, key files, and project flows quickly.
Read and manage OpenProject data with guarded tools and confirmed write actions.
Query an AI project portfolio, search by tech, and get project details.
Demo MCP server for calculations, time checks, notes, and code review prompts.
Use MCP tools to analyze GitHub repos, calculate, check weather/time, and run commands.