How it works
One governed endpoint between your systems and your AI.
Stackyapper connects approved data from the systems your company already runs — service operations, security, documentation, backup, finance, and productivity — to the AI assistants your team already uses. Permissions, credentials, and audit history stay with you.
What is MCP, and why does it matter here?
MCP (Model Context Protocol) is the standard way an AI assistant asks an outside system for information or an action. Stackyapper is an MCP server: a controlled bridge that lets an authorized person ask an AI client to reach a business system without copying that system’s credentials into the AI client.
Without something in between, giving an assistant useful access usually means pasting an API key into it. Stackyapper holds the connection instead, and hands back only the result a person was allowed to get.
The five steps
- Connect a service. An administrator adds a supported provider connection to the appropriate workspace.
- Set exact access. Grant individual tools to a workspace, group, or person instead of exposing an entire API.
- Connect an AI client. Point a supported client at the Stackyapper remote MCP endpoint — Claude, ChatGPT, Codex, Claude Code, or Hatz AI.
- Ask across the approved stack. Stackyapper checks identity, workspace, tool grant, risk policy, and any required confirmation before routing the request.
- Review activity. Audit history records operational metadata such as actor, service, tool, result, timing, and risk class.
Who is it for?
Any company with data spread across the tools it runs on. Stackyapper starts with your own team and your own systems.
If you are a managed service provider, the same isolation that separates internal teams also separates each customer — see Stackyapper for MSPs for the multi-tenant features and per-customer workspaces.
How access stays separated
Users, provider connections, MCP sessions, and audit records are resolved within one workspace, and every tool call is resolved again in the selected workspace. The full model is on the security page.
What can it connect to?
Stackyapper currently lists 98 governed apps across service operations, RMM, security, documentation, backup, finance, and productivity. Browse the full app directory to see what is available today and what is still in beta.
Is Stackyapper an AI assistant?
No. Stackyapper is the governed access layer between AI clients and business systems. It does not replace your AI assistant or require you to adopt one proprietary agent.
Your team chooses the client and the workflow. Stackyapper supplies controlled service access, workspace isolation, protected credentials, tool-level policy, confirmation, and operational audit history.
When you are ready to connect a client, follow the setup guide for ChatGPT, Claude, Claude Code, and Codex.
Current limitations
- Apps labeled beta are not represented as fully supported.
- Tool availability varies by provider, authorization method, provider plan, and workspace policy.
- Enterprise is described as coming soon where shown.
- An administrator remains responsible for provider scopes, user grants, workflow design, and appropriate human oversight.