—
/100
Unscored
○ Unscored 0⁄0
pypddlengine
Enables AI agents to interactively explore PDDL planning problems by exposing a PDDL engine as MCP tools for initialization, action execution, state inspection, and goal checking.
Glama
Unscored visibility
— 0/0 applicable dimensions scored
○ Schema Quality
— Protocol
— Reliability
○ Docs & Maintenance
○ Security Hygiene
— Schema Interpretability
Schema Quality
—
42% weight
Protocol Compliance
N/A
Local server
Reliability
N/A
Local server
Docs & Maintenance
—
25% weight
Security Hygiene
—
33% weight
Add this to your README to display your MCP Scoreboard grade:
