Scan the code
C2M scans the approved source-code scope and creates evidence across security, licences, debt, quality, and activity.
C2M NOOS MCP
The C2M NOOS MCP makes authorised C2M source-code evidence available through a supported LLM chat interface. It turns source-code-analysis findings into an active intelligence conversation.
Staging evidence scope
Read-only Β· Authorised scope
100
Pre-scanned open-source products in the ready staging environment
3
Supported LLM chat interfaces for authorised evidence conversations
Read-only
Blind Audit MCP evidence scope with protected structured findings
How the Connector works
C2M creates the evidence baseline. The C2M NOOS MCP makes that evidence conversational. The controlled staging environment lets a logged-in demo user experience a product-level or portfolio-level question against a ready C2M evidence scope.
What the C2M MCP Connector actually changes
C2M scans the approved source-code scope and creates evidence across security, licences, debt, quality, and activity.
Never source code. Only governed findings, counts, and metadata leave the approved C2M evidence scope.
A governed, read-only connection links the selected C2M evidence scope to a supported LLM chat interface.
A business question is asked in plain language. The assistant retrieves scoped evidence.
Ask about one product or every asset in a portfolio. Evidence context stays intact.
Visual, decision-ready output remains linked to its evidence context for review and human judgement.
βNot a fancy Source Code Audit dashboard, a dashboard that stops being passive.β
The staging environment is ready
The C2M NOOS MCP staging environment contains 100 pre-scanned open-source products, a working Connector, a prompt playbook, and representative evidence outputs.
Blind Audit MCP
The staging MCP evidence environment contains protected structured findings. No source-code lines are available through this scope.
Evidence categories
Understand the selected product, scan scope, and available evidence.
Assess maintainability, structural condition, hotspots, and remediation pressure.
Identify security exposure, vulnerable dependencies, and remediation priorities.
Review software licences, open-source components, and potential compliance concerns.
Understand contributor activity, commit trends, delivery signals, and team discipline.
Assess structural readiness and remediation priorities before scaling AI-assisted development.
Demonstration coverage: The staging environment includes 100 pre-scanned open-source products and supports product-level and portfolio-level questions across the C2M source-code evidence categories available in the authorised staging scope.
Ten questions to try
The prompt playbook gives users a practical way to test C2M evidence against common diligence, portfolio, and AI-readiness questions.
Playbook (PDF)Find the product
βUsing <yourSTAGE>-MCP, which product corresponds to <git remote URL>? Give me its product ID, scan-session ID and scan date.β
Scorecard
βShow the C2M business-risk grades for <product> and quote the transcript line for every category that is not Excellent.β
Benchmark
βBenchmark <product> per 10K LOC against the reference projects and tell me which metrics sit above the peer median.β
Security deep-dive
βFor <product>, summarize critical and blocker vulnerabilities and security hotspots, group them by rule, and show the affected files for the top five.β
Duplication finding
β<product> fails duplication. Pull the largest duplicated blocks and tell me whether this is vendored or generated code or genuine copy-paste.β
License exposure
βList every copyleft license finding in <product> with the dependency and the file it comes from.β
Package aging
βHow many critically outdated packages does <product> carry, and which five are furthest behind?β
Key-person risk
βWho are the top ten contributors to <product> over the last 24 months, and what share of commits do the top three hold?β
Cross-product comparison
βCompare <product A>, <product B> and <product C> on vulnerabilities, hotspots and duplication per 10K LOC, as one table.β
Stage-wide question
βAcross <yourSTAGE>-MCP, which risk category is most often graded Failed, and how many products fail it?β
Representative precompiled outputs
The following representative report types are generated from the same staging evidence environment. Each one downloads directly, with no account required.
These are representative outputs, published in full. No account, sign-in, or contact request is required to read them. The staging environment itself is separate and does require registration.
Supported LLM chat interfaces
A supported LLM chat interface through which authorised users can query the C2M staging evidence scope.
Supported
A supported LLM chat interface through which authorised users can query the C2M staging evidence scope.
Supported
A supported LLM chat interface through which authorised users can query the C2M staging evidence scope.
Supported
Try the controlled staging environment
Use the ready staging environment to explore 100 pre-scanned open-source products, test the prompt playbook, and see what C2M NOOS MCP can add to an evidence-led decision conversation.