Your AI Is Only as Good as What It Can Reach.
The Model Context Protocol is an open standard for connecting AI assistants to the systems where your work actually lives. StackFactor speaks it natively.
Answers Without Evidence
General-purpose AI can describe your compliance policy. It can't tell you whether last night's release actually passed its controls.
Copy-Paste Context
Teams paste exports into chat windows to give AI something to work with — stale the moment it's pasted, and ungoverned once it leaves the platform.
Integrations That Don't Reason
A traditional API returns rows. An agent needs to know which questions to ask next, and what it is permitted to do about the answer.
The Result
AI stays outside the systems of record — confident, unverifiable, and disconnected from the work it's supposed to accelerate.
The StackFactor MCP Server closes that gap — a governed connection between your AI tools and the live state of compliance and capability across your organization.
What Your Agents Can Do
Not just retrieval — reasoning and action across the systems that govern how your organization ships and grows.
Query your live platform state
Ask about compliance posture, control coverage, skills baselines, or readiness — and get answers grounded in current StackFactor data, not a stale export.
Surface gaps and trends
Let agents correlate what's failing with who needs which capability, across teams, applications, and frameworks.
Pull audit-ready evidence
Retrieve the control results, approvals, and traceability behind any release — in the flow of the conversation, with provenance attached.
Trigger remediation and learning
Turn a finding into action: assign targeted development, open a remediation path, and route it to the people who own it.
Ground your own agents
Give internal copilots a trusted source for compliance and workforce context instead of letting them improvise.
One server, whole platform
SHIELD and EXCEED behind a single connection — the compliance-to-capability loop available to any agent you authorize.
How It Works
Four steps from connection to auditable action.
Connect
Point any MCP-compatible client at the StackFactor MCP Server. No custom integration work, no data export.
Authorize
Authenticate against your StackFactor tenant. The agent inherits the permissions of the person behind it — nothing more.
Ask & Act
Your assistant queries live compliance and workforce data, and takes the actions you've scoped it to take.
Record
Every call is logged — who asked, what was returned, what changed — so AI activity is as auditable as everything else in the platform.
Works With Any MCP-Compatible Client
MCP is an open standard. Connect the AI tools your teams already use — and the ones you haven't chosen yet — without rebuilding the integration each time.
AI Assistants
Desktop and web assistants that support MCP connections, for everyday questions against live platform data.
Developer Tools
AI-enabled IDEs and coding agents, so compliance context reaches engineers where the work happens.
Enterprise Copilots
Copilot-style deployments already rolled out across your organization.
Your Own Agents
Internal agents and orchestration frameworks you build and control.
Build once against the protocol. Every client that speaks MCP works.
Get Early AccessOpening AI Access Shouldn't Open a Hole.
Compliance is what StackFactor does. It would be a strange company that shipped an ungoverned way into its own platform.
Permissions Travel With the Agent
An assistant sees exactly what its user is entitled to see. MCP is a new doorway into StackFactor, not a way around your access model.
Scoped Actions, Not Open Access
You decide which operations agents may perform. Read-only by default; write actions granted deliberately.
Every Call on the Record
AI-initiated queries and actions are logged alongside human ones — the same evidence trail your auditors already expect.
Features at a Glance
Put StackFactor Inside Your AI Stack.
The StackFactor MCP Server is rolling out with early access customers. Tell us which AI tools your teams use and what you'd want them to answer — we'll show you what the connection looks like in your environment.
Get Early Access