MCP server development that lets AI assistants work with your systems, under your rules.

Cost depends on how many systems and tools the server covers, whether tools only read data or also write it, how your sign-in works and how much security review your team requires. Older systems without clean APIs add work. Most builds are a fixed price per server, with optional monthly support. You'll get a written scope after a free call.

The Model Context Protocol (MCP) is an open standard for connecting AI applications to outside systems. A server describes the tools, data and prompts it offers, and any compatible client, such as Claude, ChatGPT, Cursor or Microsoft Copilot Studio, can use them. Anthropic released it as an open standard in late 2024, and the major AI platforms have since adopted it.

A direct API integration is often simpler when one app needs one connection. An MCP server pays off when several assistants or agents need the same systems, because you build the connection, permissions and logs once and every compatible client can use them. We'll recommend the simpler route during scoping when it fits.

Each person signs in through your identity provider, and the server acts with that person's permissions, so the assistant reaches only what they could already see. Tools are scoped to read or write, sensitive actions ask for confirmation, and every call is logged. We test for prompt injection and data leaks before release and take the server through your security review.

Yes, after review. We check what each server can access, who maintains it, how it stores credentials and whether its tool descriptions could steer an assistant toward unsafe actions. Approved servers go on an allowlist, pinned to a reviewed version, so staff connect only the ones your company has checked.

MCP server development builds the connection layer: the tools and permissions any assistant or agent uses to reach your systems. AI copilot development puts AI features inside your own product's screens, and a custom AI agent is a finished assistant built for one job. Many projects use both, with the agent or copilot calling your systems through the MCP server.

We connect any system with an API or database access, including CRMs such as HubSpot and Salesforce, ERPs such as NetSuite and Odoo, help desks, document stores, data warehouses and your own internal services over REST or GraphQL. Where a system offers only file exports, the scope sets out a safe read-only route.

Yes, a remote MCP server works with compatible clients, including Claude, ChatGPT, Microsoft Copilot Studio, Cursor and agents built with frameworks such as LangGraph or the OpenAI Agents SDK. Each client has its own setup steps and plan requirements, so we test the server in the ones your team actually uses.

Your team can, with the code, tests and documentation we hand over in your repository. We also offer monthly support covering protocol updates, new tools, dependency patches and log reviews. Every release is versioned, so a change can be rolled back quickly.