LLM Assure
k11-software-solutions/k11techlab-llm-assurance-toolkit
Red-team LLM apps: 41 OWASP LLM Top 10 probes, adaptive attacks, CI gate, audit reports.
- tools
- 5
- auth
- Secret needed
- transport
- STDIO
- env var
- 1
- last updated
- Nov 13, 2026
Tools
5 toolsPublic tool metadata for what this MCP can expose to an agent.
list_suitesBrowse attack categories and probes.
Browse attack categories and probes.
No parameter schema in public metadata yet.
list_probesBrowse attack categories and probes.
Browse attack categories and probes.
No parameter schema in public metadata yet.
run_assessmentRun a full audit and write all reports.
Run a full audit and write all reports.
No parameter schema in public metadata yet.
send_probeSend a custom prompt (with history) and get leak/PII/refusal checks, for adaptive multi-turn attacks.
Send a custom prompt (with history) and get leak/PII/refusal checks, for adaptive multi-turn attacks.
No parameter schema in public metadata yet.
get_findingsRead findings from an earlier assessment.json.
Read findings from an earlier assessment.json.
No parameter schema in public metadata yet.
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ANTHROPIC_API_KEYsecretOptional: enables the Claude LLM judge and adaptive red-teaming
Readme
K11 LLM Assurance Toolkit
Red-team your LLM application before your users do.
llm-assure runs automated attack and evaluation suites against any chatbot, RAG
app or AI agent. It fails your CI build on serious findings and produces an
audit-ready HTML report. It also includes an MCP server, so Claude (or any MCP
client) can run assessments and adaptive red-team sessions for you.
- 41 probes in 8 suites, mapped to the OWASP Top 10 for LLM Applications (2025)
- Any target: your HTTP API, OpenAI-compatible endpoints, Claude, or a Python function
- Deterministic first: canary-leak, PII/secret, refusal and pattern detectors are free and reproducible. An optional Claude LLM-judge handles the nuanced cases.
- CI-native: JUnit XML, a
--fail-onseverity gate, and a GitHub step summary - Client-ready: a self-contained HTML report with a score, findings, evidence and remediation
- Extensible: add industry packs with
--pack DIR
Details
- Repository
- github.com/k11-software-solutions/k11techlab-llm-assurance-toolkit
- Website
- github.com/K11-Software-Solutions/k11techlab-llm-assurance-toolkit
- Categories
- AI & LLM Tools, Security & Pentesting
- Package
k11-llm-assure-mcp- Transport
- STDIO
- Auth
- Required
- Registry
- MCP registry, active
