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Your business, available to AI.

MCP Servers. Give compatible AI clients the tools and context to work with your business. Assemble an MCP server visually, test what it can do, and keep access under your control.

Native builder with synthetic data. Draft testing is illustrated; hosted client access requires launch verification.

MCP Servers. Choose the capabilities. Keep the control.

Build without server code

Start from a knowledge, analyst, operations, or integration template—or a blank server. Give it a purpose and choose the capabilities it needs in a guided builder.

Bring tools and context together

Combine callable operations, readable resources, and reusable prompts. AI clients get a clear way to find information and take the next permitted step.

Reuse knowledge deliberately

Import a specific Context Package version. Inspect compatible items and limitations, then review the changes before moving to a newer version.

Test the actual saved draft

Choose a capability, enter inputs in a form, and run it as an available test identity. Inspect the response and access decision before making a release decision.

Keep access in the business

Scope server access to workspace roles and teams. Each request still follows current membership, capability permissions, connection availability, and required approvals.

Release with a stable address

When hosting is enabled, publish an immutable version behind one stable endpoint. Make changes in the draft, release deliberately, and return to an earlier released version when needed.

From business context to a useful capability.

Follow a customer-success server through the native builder. Select an account lookup, define who can use it, and test the saved draft with a specific customer name.

The Customer success server includes Find customer accounts, a customer playbook, and an account-brief prompt. The selected lookup retains its read permission; adding it to a server does not widen access.

Select the work the client can do. Native product view with illustrative data.

In practice

A customer-success manager is preparing for a Northstar renewal. The team’s MCP server brings together an account lookup, the customer playbook, and a reusable briefing prompt. A compatible AI client can use those selected capabilities to prepare the conversation. Any later action still needs its own permissions and approvals.

Example operation.Explore the solution

Give your next AI workflow a real connection.

Start with one team, one client, and the tools and knowledge the job needs. We’ll help you define the scope and verify the connection before rollout.