chiasmus: MCP server that gives language models access to formal verification

by yogthos · MCP Server · ★ 215

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install chiasmus

npm install -g chiasmus
claude mcp add chiasmus -- npx -y chiasmus

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 71/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentsai-assistantai-toolsformalmethodsllmmcpmcp-serverprologz3-smt-solver

Quick Facts

Stars215
Forks14
LanguageTypeScript
CategoryMCP Server
LicenseApache-2.0
Quality Score71/100
Open Issues3
Last Updated2026-10-18
Created2026-04-07
Platformsmcp, node
Est. Tokens~19k

About chiasmus

Chiasmus MCP server that gives LLMs access to formal verification via Z3 (SMT solver) and SWI-Prolog (via , includes ), plus tree-sitter-based source code analysis. Translates natural language problems into formal logic using a template-based pipeline, verifies results with mathematical certainty, and analyzes call graphs for reachability, dead code, and impact analysis.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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