A useful tool contract
Clear inputs, required fields, actions, and results.
MCP Development & AI Integrations
Connect AI to the tools
your business runs on.
We build MCP servers and API integrations that let authorized AI agents retrieve information and perform defined actions in your website or business software.
One request.
Four systems working together.
Ask your agent to review last week’s shipments. It checks carrier updates against promised dates, records the results in your CRM, and prepares follow-ups for customers still waiting.
Keystone builds the connections and defines what each agent can do, which actions need your approval, and how exceptions are flagged. Your team spends less time moving information between systems.
Your agent asks. Your connected tools do the work.
A WEEK OF WORK. ONE REQUEST.CONFIGURED ACCESS
SHIPMENT REVIEWLAST WEEK
Keystone MCPReady for a request
Order systemConnected
Carrier lookupConnected
Customer CRMConnected
Email serviceConnected
YOUR ORDER SYSTEMLast week’s shipments
0 / 48 loaded| Order | Promised | Carrier result | Difference |
|---|---|---|---|
| #2481Northline | Sep 4 | Delivered Sep 4Awaiting lookup | On time— |
| #2482Juniper | Sep 5 | Delivered Sep 5Awaiting lookup | On time— |
| #2483Harbor Goods | Sep 7 | ETA Sep 9Awaiting lookup | +2 days— |
| #2484Cedar Works | Sep 6 | ETA Sep 8Awaiting lookup | +2 days— |
| #2485Oak & Loom | Sep 7 | ETA Sep 10Awaiting lookup | +3 days— |
| #2486Atlas Office | Sep 4 | UnavailableAwaiting lookup | Review— |
Ready to review the batch.
Orders, carrier tracking, and customer records connected through Keystone.
Carrier delivery dates will be compared with your promised dates.HARBOR GOODSSep 9 ETA − Sep 7 promised = 2 days late
6 example rows from a 48-shipment batch · Differences in calendar days
CUSTOMER CRMDelivery details, recorded.
0records updatedN
NorthlineOrder #2481 · Delivered Sep 4Delivered on the promised date. Activity note added.
✓H
Harbor GoodsOrder #2483 · Expected Sep 92 days past the promise. Follow-up draft requested.
✓O
Oak & LoomOrder #2485 · Expected Sep 103 days past the promise. Follow-up draft requested.
✓2 HELD FOR REVIEWMissing tracking information. Existing CRM details preserved.
EMAIL SERVICEFollow-ups for those waiting.
0 draftsTOHarbor Goods · Purchasing teamDRAFT
SUBJECTAn update on order #2483
Hello Harbor Goods team,
Your order is still on its way. The carrier now estimates delivery on September 9, two days later than the date we promised. We’re sorry for the delay.
We’re keeping an eye on the shipment and will let you know if anything changes.
Customer care✓Prepared for review • Nothing sent
48 shipments in the queue0 / 48
43 on time3 running late2 need tracking
✳Your AI agentReady for your request
YOU
Review last week’s shipped orders. Check delivery against the dates we promised, update our CRM, and draft follow-ups for customers whose orders are running late.
I’ll review the full batch, compare carrier dates, and carry the results into your connected tools.
A demonstration of one request reviewing 48 shipments from last week. The agent uses configured MCP tools to retrieve orders, look up carrier tracking, compare promised dates with actual delivery dates or current estimates, update 46 CRM records, and prepare three customer email drafts. Two orders need tracking information. This animation does not connect to real systems.
Built around the actual work
One connection.
Clearly defined actions.
A connection can expose different kinds of work. The scope and review points belong in the design from the beginning.
Read
Find the information the task needs.
Retrieve defined records through the access available to the authorized user or agent.
- 01Find last week’s shipped orders
- 02Look up the carrier status
- 03Return the relevant customer record
Prepare
Make the next step reviewable.
Prepare the useful result with the context needed to inspect it before an external action.
- 01Compare promised and expected dates
- 02Prepare a customer follow-up
- 03Return a draft and its supporting details
Apply
Carry out the agreed action.
Expose specific changes where the workflow and access rules allow them, with useful results and error handling.
- 01Record an approved CRM note
- 02Save a website draft
- 03Report completed actions and exceptions
The thinking behind the build
The tool needs
a reliable foundation.
We define the records and actions, enforce access in the connected system, validate inputs, and test the results with the intended AI client. Useful errors and operating guidance are part of the connection.
System-enforced access
Authentication and permissions appropriate to the records and actions.
A path for exceptions
Useful errors, visible failures, and a way to investigate or recover.
A maintained connection
Documentation and updates as your underlying software changes.
From the first conversation to working software
A practical path forward.
Map the work
Identify the actual request, systems, and required results.
Check existing options
Use a suitable existing connection or API where it fits.
Build the missing tools
Implement and test the defined reads, writes, and review steps.
Train and maintain
Document how to use the tools and keep the connection working.
Is an MCP the same thing as a skill?
No. The MCP supplies tools and data connections. A skill gives the agent a reusable procedure for using them. Access permissions are enforced by the connected systems.
Does every AI integration need custom MCP development?
No. We check for suitable existing connections and APIs first. Custom MCP development is useful when your workflow needs actions or data access that available tools do not provide.
Can the connection change website content?
It can expose defined write actions when your requirements and access rules allow them. We can include drafts, previews, and approval steps before publication.
Can Keystone also manage the agents and workspace?
Yes. Managed AI Workspaces adds configuration, reusable skills, staff training, ongoing management, and a human professional on call 24/7. Explore the managed service.
Your next useful step
What should your agent
be able to do?
Tell us the system and the action. We’ll define a practical connection.