16 tools from the Project Management AI Analysis MCP Server, categorised by risk level.
View the Project Management AI Analysis policy →analyze_risks Identify project risks 2/5 check_dependencies Validate task dependencies 2/5 compare_results Compare AI performance results 2/5 forecast_completion Predict project completion dates 2/5 get_critical_path Find the critical path in a project 2/5 load_project Load a project file for analysis 2/5 pm-analyse-server Analyse PM data for insights 2/5 pm-benchmark-server Benchmark PM AI capabilities 2/5 pm-data-server Load and query project management data 2/5 pm-validate-server Validate PM data against standards 2/5 query_tasks Query tasks by criteria 2/5 resource_utilization Analyse resource usage across project 2/5 validate_nista Validate NISTA compliance 2/5 validate_structure Check structural integrity of project 2/5 The Project Management AI Analysis MCP server exposes 16 tools across 3 categories: Read, Write, Execute.
Use Intercept, the open-source MCP proxy. Write YAML rules for each tool — rate limits, argument validation, or deny rules — then run Intercept in front of the Project Management AI Analysis server.
Project Management AI Analysis tools are categorised as Read (14), Write (1), Execute (1). Each category has a recommended default policy.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept