AI services
MCP server development services
We offer end-to-end MCP server development. Our team designs and builds your custom MCP server to connect AI with your systems and data via the model context protocol, supports popular MCP client setups like Claude Desktop, and adds clear oversight with MCP Inspector.
What is an MCP Server?
An MCP server is a smart connector for your business. It empowers your AI – whether it's a generative AI model, an AI assistant, or another AI system – to securely connect with your company’s information and use your existing software. Think of it as the central hub that lets your AI "speak" to your business systems using the standardized model context protocol, a specification for how an AI model can communicate with external systems.
With an MCP server, your AI can:
Access your data
It can tap into crucial company information from various data sources, including external data sources, without altering them. This helps your AI make informed decisions and supports efficient resource management.
Perform operations with your tools
Your AI gains the ability to act within your business. It can make a tool call to run tool commands, interacting with your available tools and custom tools. This lets your AI perform tasks like updating records, sending emails, or triggering workflows, whether it’s in agent mode or responding to a direct query.
Follow consistent rules
AI interactions adhere to the MCP specification and standardized formats, providing predictable and reliable results every time.
Operate securely and transparently
All AI activity goes through a single, secure MCP host. You control exactly what your AI can do, and every tool call is logged for auditability and compliance, potentially viewable through an MCP inspector. This simplifies your overall MCP server configuration for security.
Business value of an MCP server
Exploring custom MCP server development offers substantial strategic benefits for your IT and operations.
Accelerate AI initiatives
Quickly integrate new AI systems and generative AI models without complex re-engineering of your core internal systems. Our approach means your AI can make a tool call to existing functions, getting to value faster.
Centralized security, governance, and observability
Gain a single point of control for all AI interactions. This allows for unified authentication, consistent data access policies, and comprehensive auditing of every tool call, simplifying your MCP server configuration and oversight.
Consistent integrations reusable across teams and models
Build an integration once and reuse it across multiple AI clients and diverse use cases. This central MCP server reduces redundant work and provides consistency, whether for a remote MCP server or a local MCP server.
Lower integration and maintenance costs over time
By standardizing how your AI system connects, you reduce the complexity and cost associated with linking AI to legacy systems, external tools, and other platforms. Apart from that, our MCP support provides long-term efficiency.
How do we handle custom MCP server development?
Partnering with us means you'll have a clear, transparent process for your MCP server development, from initial strategy to ongoing MCP support.
1
Discovery
We start by defining your AI goals, identifying key data sources and target external tools, and establishing initial access policies for your AI system.
2
Architecture and contracts
We design the MCP architecture, define resource and custom tool interfaces, specify the authentication model, establish Service Level Objectives (SLOs) and Service Level Agreements (SLAs), and outline audit requirements for the MCP server.
3
Implementation
Our team builds the MCP server, develops custom connectors for your APIs and databases, creates custom tools where needed, and implements contract tests that validate conformance to the specifications. We also establish security baselines.
4
Observability
We set up robust metrics, logs, and tracing for the MCP server, creating dashboards and alerts for proactive monitoring.
5
Launch and support
We manage the CI/CD pipeline, provide detailed runbooks and documentation, and offer knowledge transfer to your team. Our MCP support continues post-launch.
Technology stack
For custom MCP server development, we use a modern and reliable set of tools to build smart servers that work smoothly and can easily grow with your business. Our approach keeps your MCP server secure, easy to update, and simple to connect with existing systems.
Building and managing the server
Kubernetes
Docker
Terraform
Helm
Argo CD
Automating development and providing quality
GitHub Actions
Sentry
Linters
Monitoring
Prometheus
Grafana
Loki
Storing and managing data
PostgreSQL
MongoDB
Redis
Elasticsearch
S3/Cloud Storage
Integrating with other systems
REST APIs
WebSockets
AWS SNS/SQS
Google Pub/Sub
Backend and cloud platforms
PHP/Laravel
AWS
GCP
Azure
Visual Studio Code
GitHub Copilot
Cases
Our team already has custom MCP server development cases in our portfolio. Our team set them up on several app development projects. Here’s an example demonstrating our workflow.
Marketplace for the UAE market
Our team developed an online marketplace featuring an AI assistant that helps buyers find plants, provides care information, and suggests alternatives. To securely integrate this AI system with the marketplace backend, we delivered custom MCP server development. We built a robust MCP architecture acting as a remote centralized gateway and enabled the AI client to access marketplace data like plant listings, seller profiles, and pricing seamlessly.
The MCP server exposes marketplace functions as tools, allowing AI to filter results, provide care instructions, and offer personalized recommendations. Custom connectors within the MCP server bridge AI to core marketplace features, expand generative AI capabilities, and make future MCP support efficient.
Locker Administration Platform with Secure Remote Access
We developed a web-based administration panel for retail lockers, enabling customers to pick up online orders from in‑store lockers. A key feature was a secure remote locker management system using WireGuard VPN, allowing corporate administrators to diagnose and troubleshoot locker issues from anywhere in the world.
The technology stack included Laravel for the backend and PostgreSQL for the database. This project demonstrates our expertise in building secure systems with remote management, integrating with existing IT systems via APIs, and ensuring operational transparency, aligning with MCP server requirements for security, automation, and observability.
Docky: Yacht Berth Rental Marketplace
We created Docky, a web and mobile marketplace application that allows yacht owners to rent berths. The application includes features such as searching for berths by map and yacht specifications, managing bookings, Know Your Customer (KYC) processes, and payments via Stripe Connect. Laravel was used for the backend, and PostgreSQL for the database.
This project highlights our ability to develop complex, multi‑functional platforms with numerous third-party integrations, secure financial transaction and user data processing, which is fundamental for building MCP servers that provide AI with access to data and the ability to perform operations using tools.
Packages and timelines
Setting up an MCP server varies by project, taking from a few weeks for basic setups to several months for enterprise-level solutions. While we offer standard packages, each project requires a custom estimate — feel free to request one from us.
Simple MCP server
Price$3,200+
Timeline2–4 weeks
Scope: Validating the core concept by setting up a basic MCP server connecting 1–2 resources or tools, with fundamental authentication and metrics. Ideal for rapid prototyping and initial testing.
Fully-functional solution
Price$6,400+
Timeline4–8 weeks
Scope: Delivering a functional MCP server with core security features, 3–6 integrations with key external tools, and essential dashboards and alerts for effective monitoring and management.
Full-scale enterprise solution
Price$10,000+
Timeline3–6+ months
Scope: Implementing advanced capabilities such as high availability, disaster recovery, extensive batch integrations, and a comprehensive catalog of tools and resources. The timeline depends on the complexity and scope of integration across your data sources.
Security and compliance
Our custom MCP server development makes sure your AI integrations are not just functional, but also incredibly secure and compliant through MCP server configuration:
Who can access what
We set up clear rules for which AI clients can use your MCP server and which available tools they can access. This involves using trusted login methods like your company's single sign-on (SSO), so only authorized AI can make a tool call to your internal or external systems.
Protecting sensitive passwords and keys
We carefully manage all the secret information your MCP server needs to access your internal systems, including legacy systems. These "secrets" are stored securely and regularly changed automatically to keep them safe from unauthorized access, significantly minimizing risk.
Recording every action
We create a detailed record of every tool call your AI makes and the outcome. This "audit trail" helps you meet regulatory requirements and provides clear accountability for every AI action. You can even review these logs using an MCP inspector.
Keeping data safe on the network and in storage
We use advanced security measures to protect your data both when it's moving between systems and when it's sitting still in storage. This includes protection against online threats, making your MCP server a fortified environment.
Testing for strength and reliability
We put your MCP server through rigorous tests. We push it to its limits to see how it performs under heavy use and how well it recovers from problems. This makes sure it's always ready to meet your operational demands without failing, supported by our ongoing MCP support and maintenance.
Key use cases for MCP servers
MCP servers deliver high returns by making your AI more useful across various parts of your business. You may get in touch with us to get the custom MCP server development for any of the following tasks.
Enterprise RAG on internal knowledge bases
Give your AI assistant secure access to your company's own internal knowledge – policies, manuals, or private reports. The MCP server acts as a gateway to these data sources, ensuring your AI provides accurate answers with relevant context.
Back-office automation
Automate repetitive administrative tasks. An MCP server lets your AI perform common tasks like updating CRM or ERP records, managing tickets, or processing documents. Your AI can run tool commands directly against these systems, making operations faster and more efficient.
DevOps and support workflows
Speed up IT and support operations. The MCP server connects your AI system to monitoring and deployment tools, allowing AI to quickly check system statuses, manage alerts, or assist with software releases. This leads to smarter, faster responses.
Data operations
Simplify getting insights from your data. An MCP server helps your AI generate reports, combine information, and securely access large data storage systems. Your AI can make a tool call to analytical custom tools or retrieve datasets from external data sources for better decisions.
Real-time interactions
Enable your AI to participate actively in fast-moving situations. An MCP server powers workflows requiring instant feedback, like sending real-time notifications or reacting to live events via streamable HTTP or server-sent events. This means your AI actively engages in dynamic processes.
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