Arg2P
PYPI · ARG2P
Structured argumentation: solve ASPIC+, ABA and abstract theories, explore their results
Available components
Last scanned (19 hours ago)
Scores higher than 82% of PyPI servers
Category AI and Machine Learning
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 0 of 2 dependencies flagged as unhealthy. View diagnostics → Pass
Provenance & Transparency97
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to tuProlog/arg2p-kt). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 5 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability69
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 1759 tokens (~293/item across 6 items; 5 tools + 1 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management20
- Stability observed for 6 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 5 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 7 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities60
- Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28. See how to fix → Fail
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 3 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.
- 1 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.
- 30 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 0 to 3. That category is still filling its 30-day observation window: 0 days of observed history at the previous scan, 1 at this one. The score rises as the window fills, whether or not the server changes.
- 29 Oct 26 78
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 4 Nov 2026 · Analysed pypi/arg2p@0.23.0
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | pypi |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | tuProlog/arg2p-kt |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/tuProlog/arg2p-kt/.github/workflows/push.yml@refs/heads/master |
| Rekor log index | 3568826704 |
| Predicate type | PyPI publish attestation https://docs.pypi.org/attestations/publish/v1 |
| Subject digest | sha256:8a0392dc6abebba75f7eed1adf690bee6da279fc09d904ffd7881e9a0cff2a19 |
Background: How many MCP packages publish verified provenance →
Dependencies 2 packages
| Packages resolved | 2 |
|---|---|
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
answer Label the statements of a query ~350
The statements matching a query (a literal, as flies(X) or -flies(tweety)) labelled in (justified), out (rejected) and und (undecided) by the theory, under its semantics.
| Name | Type | Req | Description |
|---|---|---|---|
| flags | string | – | The flags, as Prolog facts: argumentLabellingMode(grounded|complete|preferred|stable|semistable|ideal|eager|naive|stage|cf2|stage2|...), statementLabellingMode(statement), queryMode, graphBuildMode(.… |
| query | string | yes | A literal, as flies(tweety) or flies(X) |
| theory | string | yes | The theory, in the language of arg2p: rules `r1 : bird(X) => flies(X).` (defeasible) and `r2 : a -> b.` (strict), premises `f1 :=> bird(tweety).`, axioms `f2 :-> a.`, preferences `sup(r1, r2).`, nega… |
| timeoutSeconds | integer | – | How long to wait, in seconds (default 60, at most 600) |
No output schema declared.
No examples provided.
check Check a theory or a query ~54
Whether a theory (or flags) or a query parses, and where it does not (line, column, token).
| Name | Type | Req | Description |
|---|---|---|---|
| kind | string | – | What the text is (default theory) |
| text | string | yes | The text |
No output schema declared.
No examples provided.
explore Show the solver of a theory ~396
Shows the user the solver of a theory, to explore its results themselves: the query run, its solutions, the argument graph of each and the stages of its computation, the drawing of an abstract framework, the flags. Hosts of MCP Apps show it in the conversation; the result links the same theory in the web playground, for every host. Use it when the user wants to see or explore the results.
| Name | Type | Req | Description |
|---|---|---|---|
| flags | string | – | The flags, as Prolog facts: argumentLabellingMode(grounded|complete|preferred|stable|semistable|ideal|eager|naive|stage|cf2|stage2|...), statementLabellingMode(statement), queryMode, graphBuildMode(.… |
| query | string | – | The query run first (default: arg2p::solve(In, Out, Und)) |
| theory | string | yes | The theory, in the language of arg2p: rules `r1 : bird(X) => flies(X).` (defeasible) and `r2 : a -> b.` (strict), premises `f1 :=> bird(tweety).`, axioms `f2 :-> a.`, preferences `sup(r1, r2).`, nega… |
| timeoutSeconds | integer | – | How long each run of the solver shown waits, in seconds (default 60, at most 600) |
No output schema declared.
No examples provided.
settings The settings in effect ~332
The value in effect of every flag for a theory: its profile (graphBuildMode), the semantics, the graph extensions, ... as the theory, the flags and the profile set them. A theory that does not parse is refused.
| Name | Type | Req | Description |
|---|---|---|---|
| flags | string | – | The flags, as Prolog facts: argumentLabellingMode(grounded|complete|preferred|stable|semistable|ideal|eager|naive|stage|cf2|stage2|...), statementLabellingMode(statement), queryMode, graphBuildMode(.… |
| theory | string | yes | The theory, in the language of arg2p: rules `r1 : bird(X) => flies(X).` (defeasible) and `r2 : a -> b.` (strict), premises `f1 :=> bird(tweety).`, axioms `f2 :-> a.`, preferences `sup(r1, r2).`, nega… |
| timeoutSeconds | integer | – | How long to wait, in seconds (default 60, at most 600) |
No output schema declared.
No examples provided.
solve Solve a query ~458
Solves a query on a theory of arg2p: its first solutions (yes, no, or halt with an error), with their bindings, and the argument graph of the last yes (every argument with its conclusion, top rule, sub-arguments and label in, out or und; every attack with its type); more tells whether the search has alternatives left (they may give other solutions, or no). The default query, arg2p::solve(In, Out, Und), gives the statements labelled in, out and und. Out of time, it gives the solutions found until then (timedOut).
| Name | Type | Req | Description |
|---|---|---|---|
| flags | string | – | The flags, as Prolog facts: argumentLabellingMode(grounded|complete|preferred|stable|semistable|ideal|eager|naive|stage|cf2|stage2|...), statementLabellingMode(statement), queryMode, graphBuildMode(.… |
| maxSolutions | integer | – | How many solutions at most (default 5, at most 100) |
| query | string | – | A Prolog goal on the theory (default: arg2p::solve(In, Out, Und)) |
| theory | string | yes | The theory, in the language of arg2p: rules `r1 : bird(X) => flies(X).` (defeasible) and `r2 : a -> b.` (strict), premises `f1 :=> bird(tweety).`, axioms `f2 :-> a.`, preferences `sup(r1, r2).`, nega… |
| timeoutSeconds | integer | – | How long to wait, in seconds (default 60, at most 600) |
No output schema declared.
No examples provided.
How do I install the Arg2P MCP server?
Arg2P runs locally as a PyPI package, launched with uvx arg2p. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · arg2p
claude mcp add tuprolog-arg2p -- uvx arg2p
What is the Arg2P MCP server?
Arg2P is an MCP server listed in the public MCP registry as io.github.tuProlog/arg2p. Structured argumentation: solve ASPIC+, ABA and abstract theories, explore their results. This page covers its PyPI package (arg2p).
Is the Arg2P MCP server safe to use?
Arg2P scores 81 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 4 November 2026. It declares no install or post-install scripts. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Arg2P MCP server expose?
Arg2P exposes 5 tools: solve, answer, check, settings, explore. Their descriptions and schemas cost roughly 1,590 tokens of context every time the server is loaded.
Is the Arg2P MCP server still maintained?
Arg2P is still listed as active in the MCP registry. We last reached this channel on 4 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the Arg2P MCP server under?
Arg2P declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.