Custom MCP Server Development | Autozyne
Automations · Custom MCP Server Development

Custom MCP servers that connect AI agents to your business tools

An AI agent that can’t access your business software is like an employee who can’t log into any of your systems. Autozyne builds a custom MCP server that bridges your tools — your CRM, property management, accounting, or any system with an API — to AI agents like Claude. Your AI goes from “I can’t access that” to “done.” And on final payment, the code is yours.

Fixed price from $1,000 · Full source code & IP transfer · Built in 1–5 weeks

What is an MCP server?

An MCP server is a bridge that lets AI agents use your business software. MCP — the Model Context Protocol — is an open standard, originated by Anthropic and now widely adopted, that lets AI agents like Claude securely read your data, take actions, and run guided workflows in your tools. Autozyne builds custom MCP servers for your specific software, so an AI agent can look up a record, update a deal, or generate a report on command. Builds start at $1,000.

Your AI agents can’t touch your real systems

AI agents are getting genuinely useful — but only for what they can reach. The moment you ask one to pull a customer record, check a maintenance request, or update an invoice in your actual software, it stops: there’s no connection. Generic MCP servers exist for the big tools (GitHub, Slack, Google Drive), but the vertical software your business actually runs on usually has none.

Autozyne builds that missing bridge. A custom MCP server connects your specific tools to your AI agents, so the AI can do real work in the systems you already use.

What your MCP server gives your AI

Every MCP server Autozyne builds exposes three things to your AI agent — in plain terms, what it can do, what it can see, and how it should work.

HOW IT CONNECTS
AI AGENT
Claude Desktop,
Claude Code, or
your custom agent
YOUR CUSTOM MCP SERVER
built by Autozyne · Python / Node.js · Docker
Tools
actions the AI can take
Resources
data the AI can access
Prompts
guided workflows
YOUR SOFTWARE
CRM, accounting,
property mgmt, or
any system with an API

Illustrative architecture. MCP works only with MCP-compatible AI clients — not every AI platform. Your exact tools/resources/prompts depend on your software.

TOOLS

Actions the AI can take

Defined operations like search_contacts, create_invoice, or update_maintenance_request, so the AI can act in your software, not just talk about it.

RESOURCES

Data the AI can access

Structured references like a customer record, a monthly report, or a lease, so the AI reads accurate, live data from your systems.

PROMPTS

Guided workflows

Repeatable flows like “onboard a new client” or “generate the weekly report,” so common multi-step jobs run consistently.

How it works

STEP 1

Analyze your software

Autozyne reviews your tool’s API to map what the AI should be able to do, see, and run.

STEP 2

Design the server

Decide which tools, resources, and prompts to expose, and how the AI should use them safely.

STEP 3

Build it

Develop the MCP server in Python or Node.js, packaged in Docker.

STEP 4

Test with real AI agents

Verify it against actual MCP clients (Claude Desktop, Claude Code, or your custom agent), not just in theory.

STEP 5

Deploy & hand over

Deploy on your infrastructure or Autozyne-hosted, with full documentation — and the source code and IP transfer to you on final payment.

MCP servers Autozyne builds

If your software has an API, Autozyne can build an MCP server for it. Here’s where this lands hardest:

CRM

Let your AI search contacts, create records, update deals, and pull pipeline summaries.

Property management

Let your AI check maintenance requests, pull tenant and lease info, create work orders, and generate property reports.

Accounting

Let your AI check invoice status, pull financials, flag anomalies, and generate statements.

Legal practice management

Let your AI search cases, pull case details, check deadlines, and draft status reports.

Field service

Let your AI check schedules, pull customer history, and generate invoices.

Document management

Let your AI search, retrieve, summarize, and extract data from your documents.

DIFFERENTIATOR

Your SaaS platform

Build an official MCP server so your customers’ AI agents can use your product — a real differentiator and a stickiness driver.

Multi-system

One server spanning 2+ tools so your AI can cross-reference data across systems.

Want your AI agents to also run multi-step tasks across those tools? See AI Workflow Automation — or AI Chatbots with tool use for the conversational layer.

Why build it now

MCP server development is one of the fastest-growing AI service categories, but most existing servers cover the big generic tools — the vertical software your industry runs on usually has none. That’s the opening: being the first business in your space with AI agents that actually work inside your systems, or the first SaaS in your category to offer MCP connectivity.

MCP is a fast-moving ecosystem. This page keeps growth claims qualitative rather than quoting figures that may be stale by the time you read them.

Plans

Each MCP server is a fixed-price build, scoped by how many tools, resources, and systems it needs to expose. Every build includes design, testing with real AI agents, documentation, deployment, full source code and IP transfer, and 30 days of support.

Simple

$1,000 fixed

A single tool/system with a documented API and a focused set of actions and data (e.g., a CRM or document-management server).

Delivery: ~1–2 weeks · Payment: 50/50
Get started Not sure what you need? Get a free quote
MOST COMMON

Complex

$3,000 fixed

Richer single-system servers, or vertical software with many actions, resources, and guided workflows (e.g., property management, accounting, field service).

Delivery: ~2–4 weeks · Payment: 50/50
Get started Not sure what you need? Get a free quote

Enterprise

$5,000 fixed

Multi-system servers, official SaaS-platform MCP servers, complex auth, or higher-assurance deployments.

Delivery: ~3–5 weeks · Payment: 50/50 (milestones scoped)
Get started Not sure what you need? Get a free quote
  Simple
$1,000
Complex
$3,000
Enterprise
$5,000
Systems connected11 (rich)2+ / SaaS platform
Tools / resources / promptsfocused setexpandedextensive
Auth complexitystandardmoderateadvanced
Guided workflows (prompts)basic
Deploymentyour infra or hostedyour infra or hostedproduction guidance
Source code + IP transfer
Delivery1–2 weeks2–4 weeks3–5 weeks
30-day support✓ (priority)✓ (priority)

You own what you pay for

Full source code and IP transfer to you on final payment — no lock-in, and any developer can maintain or extend it.

Optional hosting & maintenance

APIs and the MCP spec evolve, so a server isn’t set-and-forget forever. Optional hosting and a maintenance retainer keep it current — scoped to your setup, quoted to match.

Ask about hosting & maintenance

Building for open-source software? Autozyne can release the server as open-source as a scoped add-on.

Why build it with Autozyne

Early expertise in a new category

Very few agencies build MCP servers yet; Autozyne does it as a core service, on the real protocol.

You own the code

Full source and IP transfer on final payment, so you’re never locked to one developer.

Tested with real AI agents

Servers are verified against actual MCP clients, not just spec-checked.

Fixed price, no surprises

You approve the scope and price before any build.

Honest about the standard

MCP works with MCP-compatible AI, it’s evolving, and servers need occasional updates — Autozyne tells you that up front.

Frequently asked questions

What is MCP, exactly?
MCP (Model Context Protocol) is an open standard, originated by Anthropic and now widely adopted, that lets AI agents securely use external tools — taking actions, reading data, and running guided workflows through a consistent protocol.
Which AI agents work with it?
Any MCP-compatible client, including Claude Desktop and Claude Code, plus custom agents that support MCP. Note that not every AI platform supports MCP, and MCP isn’t the only integration standard.
Do I own the MCP server?
Yes. You get full source code and IP transfer on final payment, so any developer can host, maintain, or extend it.
Do I need to be technical to use it?
Using it requires no technical skill — you just talk to your AI agent. Deploying it needs someone who can run a Docker container, and Autozyne can deploy it for you if needed.
What does it cost to run and maintain?
The server runs as a lightweight background service. Because APIs and the MCP spec evolve, optional hosting and a maintenance retainer are available, scoped to your setup.
Is it secure?
Servers are built with access scoped to only the tools and data you approve. For deployments needing assurances, a formal security review is scoped separately — Autozyne won’t promise guaranteed security without one.
Will MCP servers behave perfectly?
The server exposes capabilities reliably, but AI agents are non-deterministic — how the AI uses those capabilities can vary, which is why tools and access are scoped deliberately.
Can you build one for my SaaS platform?
Yes — an official MCP server lets your customers’ AI agents use your product, which is a strong differentiator and stickiness driver. Autozyne can also provide marketing copy and help with discoverability.
How is this different from a regular API integration?
A standard integration connects two systems to each other; an MCP server exposes your system to AI agents through the MCP standard. For non-MCP system-to-system work, see API & Platform Integration.
How long does it take?
Most MCP servers are delivered in 1–5 weeks depending on the tier and number of systems.

Not sure if MCP is the right move yet? An AI Consulting & Automation Audit can tell you before you build.

Get a Fixed Quote in 24 Hours

Tell us which software you want your AI agents to reach. We’ll analyze the API, scope the build, and name a fixed price — with full source code and IP transfer to you on final payment.