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It is the design and implementation of a server that exposes tools or information through the Model Context Protocol. For a business system, that includes the operations, schemas, access checks, source connections, and deployment needed to make the interface useful.

Usually it is an additional interface over an existing API or service. The source system still owns its records and business rules. The MCP layer makes selected operations discoverable and callable by compatible clients.

It can, when each client supports the server’s transport and authorization setup. We verify the intended client and account configurations during delivery instead of assuming every client exposes identical capabilities.

Yes, when the underlying system supports the operation and the authenticated user has permission. We scope write tools carefully and define any review or confirmation step as part of the workflow.

Enough to complete one useful workflow. A smaller surface with precise descriptions and reliable results is easier to evaluate than a large collection of loosely related operations.

A local server can run with a client on a user’s machine; a remote server can serve authorized users over the network. Hosting depends on the intended clients, authentication, source systems, and operational requirements.

We scope the source systems, actions, permissions, intended clients, and deployment work. Tool count alone does not capture the effort: a simple lookup and a cross-system write have very different requirements.

We work as the agency: you bring the business systems and the workflows people want an assistant to handle, and we design, build, and deploy the MCP server that connects them. Follow Up Ace is a shipped example of that arrangement — a product built around an MCP connection to Follow Up Boss, not an internal tool maintained by the client's own developer.

Yes. Follow Up Ace, built by Moon Sherpa Labs, is a production MCP server exposing 242 Follow Up Boss CRM tool definitions to Claude and ChatGPT—contact lookups, stage updates, lead scoring, and follow-up sequencing—so an AI agent can manage a real estate pipeline through natural-language requests instead of the FUB UI. It's a real-world example of the tool-surface pattern described on this page, built and run in production, not a demo.

Yes. MCP is an open, publicly documented protocol with official SDKs, so any engineering team can build a basic server—a minimal server with a handful of tools can be working in a day or two. What takes longer, and is where most in-house attempts stall, is production hardening: authentication, rate limiting, structured error handling, multi-tenant isolation, and tool descriptions precise enough for a model to call reliably. That production layer is what Moon Sherpa Labs specializes in building.

A focused MCP server—10 to 20 well-defined tools wrapping a single system—typically takes three to six weeks from scoping to production. Larger surfaces (50+ tools, multi-system integrations, complex authentication flows) take longer. We start every engagement with a tool-surface scoping session before committing to a timeline.