tuprolog/arg2p
v0.23.0MIT
Structured argumentation with Arg2P: formalize problems as theories, solve them, and explore the results in its solver.
commands
- uvx arg2p0.23.0
scripts
- arg2p-explore
- scripts/playground_link.py
plugin.json
- name
- arg2p
- version
- 0.23.0
- description
- Structured argumentation with Arg2P: formalize problems as theories, solve them, and explore the results in its solver.
- author
- tuProloghttps://github.com/tuProlog
- license
- MIT
- repository
- https://github.com/tuProlog/arg2p-kt
- extensions
- com.openai
mcp.json
- arg2pstdiouvx arg2p@0.23.0 mcp
{
"$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
"name": "arg2p",
"version": "0.23.0",
"description": "Structured argumentation with Arg2P: formalize problems as theories, solve them, and explore the results in its solver.",
"author": {
"name": "tuProlog",
"url": "https://github.com/tuProlog"
},
"homepage": "https://tuprolog.github.io/arg2p-kt/",
"repository": "https://github.com/tuProlog/arg2p-kt",
"license": "MIT",
"keywords": [
"argumentation",
"aspic",
"aba",
"prolog",
"reasoning",
"explainability",
"mcp"
],
"extensions": {
"com.openai": {
"interface": {
"displayName": "Arg2P",
"shortDescription": "Formalize, solve and explore argumentation theories",
"developerName": "tuProlog",
"category": "Productivity",
"logo": "./assets/logo.png"
}
}
}
}
What else this package ships
These files come with the package and this site does not publish them. They are listed so you know what is there before you install it.
- playground_link.py
Client extensions
Data this package carries for particular clients. The directory lists the clients named and never reads what is addressed to them.
- com.openai