AI & Automation

MCP Development Services

The Model Context Protocol (MCP) is a standard way to expose your tools, databases and APIs to AI assistants like Claude, so they can query and act on your systems through one consistent interface instead of a custom integration per assistant. We build MCP servers that connect internal systems to AI tooling securely and with proper access control.

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What Is MCP?

A standard interface between AI assistants and your systems

Before MCP, connecting an AI assistant to an internal tool meant building a custom integration for each assistant and each tool — a combinatorial mess. MCP defines a standard client-server protocol: you build one MCP server that exposes a set of tools and resources, and any MCP-compatible AI client (like Claude) can discover and use them, with permissions and structured schemas defined up front.

MCP server

Exposes a defined set of tools (functions) and resources (data) from your systems in a standard schema.

Scoped access

Each tool is explicitly defined with its own permissions — the AI can only call what you've exposed, nothing more.

Reusable across clients

Build the server once; any MCP-compatible AI assistant can connect to it without a bespoke integration.

Our Process

How we build an MCP server

Tool & resource scoping

Decide exactly which internal functions and data should be exposed to an AI assistant, and which shouldn't.

Schema design

Define clear, well-documented tool schemas so the AI calls them correctly and predictably.

Server build

Implement the MCP server against your existing APIs and databases, with authentication and rate limiting.

Test with a real client

Connect a real MCP client (e.g. Claude) and validate tool calls behave correctly against edge cases.

Use Cases

Where MCP servers help

Internal data access for AI copilots

Let an internal AI assistant query your production database or internal APIs safely, through defined, auditable tools.

Enterprise

Developer tooling

Expose internal dev tools (deployment status, logs, ticketing) to an AI coding assistant through one consistent interface.

SaaS

Multi-system agent backends

Give an AI agent a single, standardized way to call multiple internal systems instead of maintaining separate custom integrations for each.

Enterprise

Technology Stack

Tools we build MCP servers with

Model Context Protocol SDK Python Node.js / TypeScript FastAPI Claude OAuth 2.0

Benefits

Why standardize on MCP

Build the integration once instead of a custom connector per AI tool you adopt.

Explicit tool schemas and permissions make it clear and auditable what the AI can and can't touch.

Future-proofs your integration as more AI assistants adopt the same protocol.

Keeps sensitive systems behind a controlled interface rather than giving an AI direct database access.

FAQs

Frequently asked questions

What is Model Context Protocol (MCP)?

MCP is a standardized protocol that lets AI assistants like Claude connect to external tools, data sources and APIs through a consistent client-server interface, instead of a custom integration per assistant.

Why would we need an MCP server instead of a normal API?

A normal API is built for a specific consumer. An MCP server exposes tools and data in a schema AI assistants are specifically designed to discover and use correctly, with permissions defined up front — useful if you want AI tooling to interact with your systems repeatedly and safely.

Is MCP secure?

Yes, when built correctly — each tool is explicitly scoped, authentication and rate limiting are enforced at the server, and the AI can only call what's been deliberately exposed.

Can MCP connect to our existing database or internal APIs?

Yes — an MCP server is typically built as a thin, scoped layer in front of your existing APIs and databases, not a replacement for them.

How long does MCP server development take?

A focused MCP server exposing a handful of well-defined tools typically takes a few weeks, depending on how many internal systems it needs to connect to.

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Want AI assistants to safely use your internal tools?

We'll scope which systems make sense to expose through an MCP server.

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