StackYapper
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MCP access for MSPs

Let your techs yap
to your stack.
Keep the keys.

One governed MCP endpoint across your PSA, RMM, documentation, Microsoft 365, security, and automation tools. Your techs ask in the AI you already pay for. You decide what each person can reach before the call runs.

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workspace / internal · sample sessionclient / claude · technician@northwindpolicy v4 · enforced
TimeTool callVerdictResult
10:42:07cw_search_tickets· connectwise✓ ALLOW12 records returned
10:42:09hudu_search_articles· hudu✓ ALLOW3 records returned
10:42:11ninja_list_devices· ninjaone✓ ALLOWdevice list returned
10:42:14cw_update_ticket_note· connectwise✓ ALLOWrecord updated
10:42:16ninja_run_device_script· ninjaone× DENYtool not in group
10:42:16cw_update_ticket· connectwise× DENYread-only technician
credentials not emittedpayload not retainedaudit / metadata only

01 / The boundary

Your AI relationship stays yours.

Bring your own AI

Use Claude, ChatGPT, Cursor, Copilot, or an approved internal agent. StackYapper does not sell model access or token credits.

Credentials stay behind the boundary

Connected-account credentials are encrypted and used only to execute permitted calls. They are never returned to the AI client.

Operational data passes through

Tool request parameters and API response bodies are not written to the audit log. The record keeps who called what, when, and whether it succeeded.

02 / Is your stack in here?

The systems MSP work already runs through.

Live · Available · Planned

ConnectWise PSA

● Live

HaloPSA

— Available

Autotask PSA

— Available

NinjaOne

— Available

CW Automate

— Available

Datto RMM

— Available

CIPP

— Available

Hudu

— Available

n8n

— Available

Grafana

— Available

HubSpot

— Available

QuickBooks Online

○ Planned

Sherweb

— Available

Huntress

— Available

ConnectSecure

— Available

Sophos Central

— Available

03 / Your AI, now with context

Talk to it. Build with it. Put it to work.

StackYapper brings governed MSP data to the AI surfaces your team already uses. It does not sell another model, another inbox, or another place to work.

01

Ask your stack

Claude · ChatGPT · Hatz AI

Let a tech research a ticket, device, agreement, or customer across the systems they already use—without handing the AI your vendor credentials.

“What changed for Acme before this ticket opened?”

02

Build with your stack

Claude Artifacts · ChatGPT apps

Turn governed MCP data into the interface the job needs: a client brief, lifecycle view, dispatch board, or interactive report inside the AI workspace.

The interface gets approved tools—not a copy of the keys.

03

Put your stack on a schedule

Claude Cowork · ChatGPT · Hatz workflows

Use StackYapper from recurring tasks and MSP workflows for morning queues, warranty checks, security reviews, and weekly customer summaries.

Every run comes back through the same policy boundary.

A schedule is not a permission.

When a recurring task or workflow calls StackYapper, the workspace, identity, service, and tool are checked again. Access follows the policy in force for that run.

04 / Set policy once

A prompt is not a permission boundary.

StackYapper checks the workspace, identity, service, and exact tool before execution. A disallowed call does not reach the vendor API.

policy / read-only technicians
workspaceinternal
identitytechnician@northwind
servicesconnectwise · ninjaone · hudu
read tools✓ allowed
write tools× denied
destructive tools× denied

05 / When your team is ready

Add a customer without mixing the boundaries.

The same connector engine, a separately isolated workspace, and a narrower policy. Start inside your MSP. Extend selected access only when it earns a place in your managed service.

workspace / internal

Technician operations

PSA, RMM, documentation, M365, and security tools under your internal groups.

workspace / customer

Customer-scoped access

Separate credentials, users, allowed tools, audit history, and lifecycle controls.

06 / Early access

We are opening the door carefully.

StackYapper is not generally available yet. We are working directly with MSPs to make sure setup is practical, the right connectors are ready, and the cost stays approachable.

01

Tell us about your stack

Share the tools your MSP runs on and where governed AI access would help first.

02

We check the fit

We will confirm connector coverage, your use case, and whether the current release is ready for you.

03

Start small

Begin with your internal MSP workspace and expand only when it proves useful.

No enterprise rollout. No implementation theater. Just a useful first workflow.