C2M NOOS MCP

Stop Translating Source Code. Start Asking Questions.

C2M gives boards, private-equity executives, operating partners, and engineering leaders a direct line of sight into the condition of the software estate. The C2M NOOS MCP turns authorised C2M evidence into an active conversation through a supported LLM chat interface.

C2M creates the evidence. The C2M NOOS MCP makes that evidence conversational.

  • Structured C2M evidence
  • Blind Audit MCP available
  • Human judgement retained

Question to evidence

Security & dependencies
Evidence
Licences & third-party
Evidence
Technical debt
Evidence
Engineering activity
Evidence

Read-only · Authorised scope

A knowledge bridge for source-code evidence

Ask business questions directly of source-code-derived evidence.

The C2M NOOS MCP is a knowledge bridge for source-code evidence, much like Power BI helps organisations explore enterprise data. It makes the available C2M evidence easier to query and interpret through LLM chat; it is not a replacement for C2M scanning, engineering review, or management judgement.

Power BI is a trademark of Microsoft Corporation. CodeWeTrust is not affiliated with or endorsed by Microsoft.

01

Scan

C2M scans the agreed product or portfolio scope and creates a structured evidence baseline across security, licences, dependencies, source-code quality, technical debt, and engineering activity.

02

Connect

The C2M NOOS MCP creates an authorised, read-only connection between the selected evidence scope and a supported LLM chat interface.

03

Ask

The user asks a business question in plain language. The assistant retrieves and synthesises available evidence into a focused answer, comparison, or report.

What “governed” means

Access follows the evidence mode and authorised scope.

Governed access is the read-only policy established by the C2M scan mode and the authorised evidence scope. It determines which products and findings a user may retrieve through the Connector.

Blind Audit MCP

Evidence without source-code handover.

In the recommended Blind Audit configuration, the MCP evidence environment contains protected structured findings. No source-code lines are available through that scope.

Configured evidence mode

The C2M scan mode determines whether the MCP scope contains protected findings only or other explicitly permitted content.

Blind Audit default

The recommended MCP evidence environment contains protected structured findings; no source-code lines are available through that scope.

Authorised scope

Users can query only the products and evidence they have been permitted to access.

Read-only connection

The Connector retrieves available evidence. It does not modify scan data, findings, or source code.

Human decision-making

The LLM synthesises available evidence. Diligence, engineering, investment, legal, and management decisions remain human responsibilities.

In other C2M deployment modes, source-code context may be available only when the customer has explicitly selected and enabled it. That is not the standard Blind Audit MCP experience.

Supported interfaces

Use the chat environment that fits the conversation.

The C2M NOOS MCP supports authorised connections through the following LLM chat interfaces.

ChatGPT / OpenAI

A supported LLM chat interface through which authorised users can query C2M evidence.

Supported

Claude.ai

A supported LLM chat interface through which authorised users can query C2M evidence.

Supported

Manus.im

A supported LLM chat interface through which authorised users can query C2M evidence.

Supported

Three core use cases

One evidence model. The question changes with the moment.

01

M&A due diligence

Where is security exposure concentrated? Which licence or third-party risks require attention? How does an acquisition target compare with the relevant portfolio context?

02

Portfolio oversight & modernisation

Which products carry the greatest structural risk? Where is engineering capacity being absorbed by technical debt, source-code quality issues, security exposure, or remediation work?

03

AI-coding readiness

Which products are structurally ready for AI-assisted development? Which remediation steps should be completed before the investment is scaled?

The evidence conversation

“One target or an entire portfolio. Same evidence, same system, same conversation.”
C2M provides the evidence. You provide the judgement.

Next conversation

See the C2M NOOS MCP evidence conversation in action.

Explore a controlled C2M NOOS MCP experience built around structured evidence, practical questions, and the decision context behind the answer.

We simplify end-to-end software evaluation, mitigate risks, and reduce maintenance costs.

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