MCP Server Development Services
We build custom MCP (Model Context Protocol) servers that let AI assistants like Claude and ChatGPT use your business data and tools securely, from checking availability and creating bookings to reading your CRM.
- Production MCP server already live
- Node.js / TypeScript and Python
- Auth, logging and rate limits built in
Give AI safe access to your real business systems
The Model Context Protocol is an open standard that lets AI models call tools and read data through a server you control. Instead of copying information into a chat, the AI can check your calendar, look up a customer or create an order, with only the permissions you allow.
We design and build MCP servers around your workflows, connect them to your existing systems and deploy them with authentication, logging and monitoring, so your AI agents are useful and safe.
Typical MCP server use cases
- AI receptionists that check availability and create bookings
- Sales assistants that read and update your CRM
- Support agents that look up orders and policies
- Internal assistants for documents, SOPs and databases
- Reporting agents over Google Sheets, SQL or APIs
- Connecting Claude Desktop or custom agents to your tools
Production-ready MCP servers
Custom tools
Well-designed tools with clear inputs, so the AI uses them correctly.
Security first
API keys or OAuth, per-tool permissions, input validation and audit logs.
Integrations
Google Workspace, HubSpot, Zoho, Stripe, SQL databases and custom REST APIs.
Deployment
Hosted on your server or cloud with HTTPS, monitoring and updates.
Agent setup
We connect the server to Claude, ChatGPT or your own AI agent and test real tasks.
Observability
Logs of every tool call so you can see what the AI did and why.
Bookora: an AI booking system powered by our MCP server
Bookora uses a custom MCP server we built to give an AI receptionist real tools: check availability, calculate prices, create, find, reschedule and cancel bookings, and sync records to Google Sheets and the CRM.
The same approach works for your business: we define the tools your AI needs, build the server and connect it to the AI assistant your team uses.
MCP server development pricing
Starting prices for a typical scope. You get a fixed quote before any work starts.
MCP Starter
One system, a focused set of tools
from $2,800
2–3 weeks
- Up to 6 tools
- One integration (e.g. Sheets or CRM)
- API key auth + logging
- Deployment + docs
- 30 days support
Custom MCP + Agent
MCP server plus a working AI agent
from $4,500
3–6 weeks
- Up to 15 tools
- Multiple integrations
- AI agent setup and testing
- Monitoring + alerts
- 60 days support
Enterprise MCP
Multiple systems, roles and compliance
Custom quote
6+ weeks
- OAuth and role-based access
- ERP / database integrations
- Staging + production
- Security review
- SLA support
Not sure what you need? Try the free cost calculator or see all packages.
How we deliver your MCP server
Use-case workshop
We define what the AI should be able to do and which systems it may touch.
Tool design
We specify each tool, its inputs, outputs and permissions, and agree the plan.
Build and test
We build the server, connect your systems and test with real AI conversations.
Deploy and monitor
Secure deployment, documentation and monitoring after launch.
MCP server development: common questions
What is an MCP server?
An MCP server exposes tools and data to AI models through the open Model Context Protocol, so assistants like Claude can take real actions, such as reading a CRM or creating a booking, within the permissions you set.
How much does custom MCP server development cost?
A focused MCP server with up to six tools and one integration starts from $2,800. A larger server with an AI agent and multiple integrations starts from $4,500.
Which AI assistants can use your MCP servers?
Any MCP-compatible client, including Claude (desktop and API), ChatGPT connectors and custom agents built with SDKs.
Is it secure to connect AI to our systems?
Yes, when done correctly. We use authentication, per-tool permissions, input validation, rate limits and full logging, and the AI can only do what each tool allows.
What languages and hosting do you use?
Usually Node.js/TypeScript or Python, deployed on your server or cloud provider with HTTPS and monitoring.
Do you also build the AI agent?
Yes. We can connect the MCP server to Claude or another model, write the system prompts and test real workflows end to end.
Related services
Discuss your MCP server
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