Custom MCP Servers That Connect AI to the Systems You Already Run

Four kinds of builder: an integration platform such as Zapier MCP or Composio, when your software is a popular SaaS product it already supports; a freelance developer, for one read-only connection or a proof of concept; a development company that builds and runs MCP servers, such as Reflekt Lab, when each user must sign in with their own permissions, the AI writes, the system is in-house or legacy, or it has to run in production; or your own team, with the official SDKs, if it can maintain the server as the specification changes. Whoever you choose, require per-user OAuth sign-in, a preview before every write, logs, the code in your name and a monthly maintenance price. At Reflekt Lab, a fixed-price starter on one workflow costs $1,900, scoping costs $2,300 to $4,700, and a first workflow in production starts at $17,500.

MCP (the Model Context Protocol) is an open standard that gives AI models a uniform way to call tools and read data from external systems. You expose your systems once as an MCP server, and any MCP-capable AI client can use them, without bespoke integration code for each one.

Use MCP when more than one AI client will touch the system, when you're exposing many capabilities, or when humans and agents drive the calls. A plain integration is fine for a single deterministic machine-to-machine pipeline with no model in the loop.

Yes, because the model never writes directly. Writes run as a dry-run first, the user confirms a clean preview, and only then does the action commit. Every call is schema-validated and permission-checked at the MCP boundary.

Yes. The MCP server sits in front of your existing APIs, databases, and ERPs as a thin adapter. You keep your systems and the rules they encode; Reflekt Lab adds the modern, AI-friendly interface on top.

Any MCP-capable client: Claude Desktop, Cursor, autonomous agents, and your own applications, plus messaging bots on WhatsApp and Telegram. The same server serves all of them.

Yes. Reflekt Lab designs, builds, hosts, and operates custom MCP servers for other companies, not only for its own products. We map your ERP, CRM, databases, and internal APIs to typed, permissioned tools, ship a production-grade server, and keep it running as your systems change. If you need an MCP server built and maintained, that is a core service.

At Reflekt Lab, you can start with a $1,900 fixed-price starter: one workflow connected to your assistant on your own data, with read and draft tools, in about two weeks, credited against a production build. Scoping one workflow costs $2,300 to $4,700. A first MCP server in production, covering one workflow with its tools, permissions and sign-in, starts at $17,500. Hosting is about $50 to $100 a month, and running it, with monitoring and updates when the specification or your upstream APIs change, starts at about $470 a month.

Typically 2 to 4 weeks from a signed scope to a first workflow in production. The scoping workshop before it takes half a day, and its written scope gives you the fixed price and the date. Each further workflow on the same server is faster, because the sign-in, permissions and hosting are already in place.

Yes, and that's the most valuable case. Popular SaaS tools increasingly ship their own MCP servers, but your ERP, in-house tools, and legacy databases don't have one. Reflekt Lab, an MCP server development company, builds a custom MCP server for any system with an API (or a database underneath), so your AI can work with the software that's specific to your business, not just off-the-shelf apps.

Any team that wants AI to work inside its own software: sales and CRM, ERP and operations, finance, logistics, and internal back-office tools. If a system holds data or runs a process your team depends on, an MCP server lets AI use it safely, with permissions and a human confirmation step on writes.