What is MCP?

The context for how your company works lives across many tools, and AI does not automatically know or have access to any of it. MCP and Stackyapper close that gap.

MCP (Model Context Protocol) is a standard way for an AI assistant to ask another system for information or an action. Think of it as a common language for connecting AI to the tools where your work already lives. Each individual capability an AI client can call — list tickets, look up a device, create a note — is called a tool.

MCP alone does not decide what a person should be allowed to see or change. Stackyapper sits in the middle to make those access decisions before a request reaches one of your systems.

The simple version

Ask
A team member asks a question or gives their AI assistant a task.
Check
Stackyapper checks the person, workspace, app, and allowed action. A request that is not approved stops here, before it reaches a business app.
Retrieve
Only the approved system and operation are used, and only the approved result returns to the AI assistant.

A leadership-team example

Imagine asking:

Prepare our weekly leadership meeting brief. Review the scorecard and issues in our goal-tracking app, project risks in our project tool, and recent campaign activity in our marketing platform. Put decisions that need an owner first. Do not make any changes.

For an authorized person, Stackyapper can route the approved read-only requests to those connected apps and return the results to the AI assistant. The AI can then turn those results into one brief instead of someone opening each system, copying updates, and assembling the report by hand.

This is an illustrative workflow. The apps, operations, and records a person can use always depend on the connections and permissions in their workspace.

"Do not make any changes" helps explain the request, but the prompt is not the security control. Grant read-only tools so Stackyapper enforces that boundary.

Why not just copy and paste the information?

Copy and paste can be fine for a one-time question. It becomes harder to manage when the work repeats or the information is sensitive:

The copied information can be stale by the time someone uses it.
A person may include more data than the question requires.
Recurring briefs and follow-ups must be rebuilt by hand.
It is difficult for an administrator to apply the same access rules across a team.

With Stackyapper, administrators connect an app once, grant the specific tools a workspace, group, or person may use, and review the resulting activity in Audit.

What Stackyapper checks

Before routing a request, Stackyapper checks:

Identity: who is making the request.
Workspace: which company or customer boundary applies.
App access: whether that person can use the connected app.
Tool access: whether they may perform that specific read or action.
Risk and confirmation: whether the operation needs an additional confirmation.

A connected AI assistant does not receive the credentials Stackyapper uses to reach your business systems. It receives only the result of an approved request.

What MCP does not do by itself

MCP is the connection standard. It does not automatically make every app safe, accurate, or appropriate for every person. Your administrator still chooses the apps, provider permissions, Stackyapper grants, and workflows the team may use.

When you are ready to try a narrow read-only connection, follow the quickstart.