601 & 612, The Times square Arcade, Near Baghban party plot, Thaltej - Shilaj Road, Thaltej, Ahmedabad, Gujarat - 380059
We help SMEs and Startups build secure, scalable & future‑ready MCP servers that securely connect databases, LLMs, APIs, SaaS apps, and other internal systems to safely share data (resources, prompts, approved tools, etc.). Our key highlights include:
MS Modern Work Certified Trusted by Global Clients Dedicated AI developers Security best practices Domain-specific Excellence Industry-standard ComplianceCustom MCP server buildsScalable multi‑tenant architecture
Years of Technology Experience
Success Ratio
Creative nerds under one Roof
Projects Delivered
(Helping you connect AI to your business)
MCP servers securely integrate LLMs (large language models), APIs, SaaS apps, databases, and internal systems with AI assistants and agents.
Unlike traditional point to point setups, our MCP development services provide a standardized integration layer which reduces complexity and keeps your AI stack future ready.
So, let’s design your custom MCP server that lets you share resources, prompts, and approved tools securely with AI clients.
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Our MCP server development services cover the complete lifecycle:
MCP architecture and integration strategy
Custom MCP server development
Existing API and database integration
Tool, resource, and prompt design
MCP client integration
Authentication and authorization
Secure MCP server implementation
Multi-tenant MCP servers
MCP gateway and routing architecture
LangChain / LangGraph development
Testing and protocol validation
Cloud deployment and observability
Performance and scalability engineering
Production-ready MCP deployment
Version upgrades and ongoing maintenance
We build AI solutions specific to your business workflows. Whether you need LLM integration, AI agent implementation, workflow automation, or virtual agent development, we ensure secure and managed integration at all levels. Our services include:
From strategy to execution, our AI experts cover every stage: Model Context Protocol (MCP) strategy, AI architecture, integrations, security, and implementation priorities.
We help you build MCP servers around any platform – be it databases, SaaS platforms, proprietary APIs, or your business workflows.
Our MCP experts help you link MCP servers with existing AI applications, agents, APIs, databases, and enterprise platforms.
We analyze and assess existing MCP implementations and work with you to update them for newer protocol versions and architectural requirements.
We make your AI integration effortless by connecting autonomous agents with workflows and approved business tools through secure MCP interfaces.
We specialize in LangGraph development for AI agents, creating graph-based workflows that manage state, memory, and multi-step reasoning.
We design and implement LangChain solutions for AI workflows, enabling seamless chaining of large language model operations with APIs, databases, and external tools.
Provide ongoing monitoring, optimization, maintenance, security updates, and feature development.
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We have been assisting industry executives with AI consulting services and have helped them build different types of MCP servers – adaptable to their domain-specific architecture.
Let's connect and build MCP servers tailored to your workflows.
Security needs to be part of the architecture-not an afterthought. Keeping this in mind, our MCP protocol consulting approach addresses the following aspects to reflect your enterprise security:
✓ OAuth/OIDC-based authorization
✓ Role-based and attribute-based permissions
✓ Tenant isolation
✓ Tool-level access controls
✓ Input and output validation
✓ Secrets management
✓ API credential protection
✓ Rate limiting
✓ Audit logging
✓ Monitoring and alerting
✓ Prompt-injection and tool-abuse considerations
✓ Network segmentation
We are a premier MCP server development company, and we approach Model Context Protocol as an engineering and business architecture problem - not simply as a protocol implementation.
We don’t just integrate LLMs. We implement controlled agentic AI foundation that helps you with:
✓AI-powered research
✓Automated business processes
✓Tool-using AI assistants
✓Human-in-the-loop workflows
✓AI-driven operational automation
Ready to connect your AI to your business systems? Get our MCP server development and consulting services today.
Take a look at our latest projects, where digital transformation comes to life.
We built this sustainable solution for a leading healthcare consultant based in the USA. Our HIPAA-compliant, centralized, real-time, and robust ERP system is designed to streamline essential operations, ensuring efficiency and compliance in the healthcare sector.
ASP.NET (C#) 4.5 | JQuery | MS SQL Server | Azure
This AI-based project is a smart tracking device for health monitoring. It uses sensors, IoT, Informedica, ChatGPT, and AI to quickly and securely transfer and interpret data. This helps healthcare staff respond quickly to incidents detected by the system.
Angular 14 | .NET Core 6.0 Web API | Azure
We built a Municipality Insurance Management System that uses XML for healthcare solutions. Actions generate XML stored on Blockchain, which can be retrieved on request. Invoices are automatically generated by date, and approved requests add funds as tokens to patients' wallets.
Node.js | C# MVC | Solidity | MongoDB, Azure B2C | Azure
We built a CRM system and a web-based SaaS solution for our Singapore-based client. This system assists them in managing their entire sales life cycle, which helps them become more competitive and enhances their business returns.
PHP 5.x | JavaScript, Jquery, AJAX | MYSQL | Azure
We built this software for our Aus-based construction client which helps to calculate sustainability index of buildings. LCA is about finding the solutions for sustainable future and is impactful in optimizing sustainable design of the built environment.
Microsoft .NET 4.5 MVC | MS SQL Server | Azure
The system offers a dynamic 3D view to manage building components and elements, allowing you to take measurements and gather statistics online without visiting the site in person. Component or element can be anything ranging from window to glass door.
Node.js for REST APIs | Angular 6 | Azure
Project Sign-off
Model Context Protocol (MCP) is an open protocol that standardizes how AI applications connect with external data sources and tools. Instead of creating separate integrations for every AI application, businesses can expose capabilities through MCP servers that AI clients and agents can discover and use.
For business leaders, the opportunity is straightforward: MCP can become an agentic AI foundation for connecting models to the systems your organization already uses.
MCP can provide a reusable integration layer between AI applications and business systems. Instead of creating separate integrations for every AI client, organizations can expose approved capabilities through MCP servers and reuse them across compatible applications.
A basic MCP proof of concept can be developed faster than a production enterprise platform, while complex implementations require more time for integrations, security, testing, deployment, and governance. The timeline depends primarily on the number of systems, tools, users, security requirements, and workflows involved.
MCP can support enterprise security patterns, but security depends on how the server and surrounding infrastructure are designed and deployed. Authentication, authorization, least-privilege access, input validation, secrets management, monitoring, and auditability should be built into the implementation.
Yes. MCP can provide standardized access to tools and resources while LangChain and LangGraph can be used to build and orchestrate LLM and agent workflows. This combination can support sophisticated AI agents that interact with enterprise systems through controlled MCP interfaces.
MCP reduces integration complexity by replacing many-to-many connections with a single, standardized client-server architecture
Rather than maintaining separate connections between AI applications, we help you build a common MCP integration layer.
MCP-enabled model:
AI Applications / Agents -> MCP Layer -> Approved Tools & Resources -> Business Systems
Consider hiring MCP server developers when:
For startups, MCP can provide a reusable integration foundation without requiring every future AI feature to start from scratch. For SMEs, it can help establish governance and scalability before AI integrations spread across departments.
The cost of MCP server development depends on the number of integrations, tools, data sources, security requirements, deployment architecture, tenant model, and complexity of the AI workflows.
| Project Type | Typical Scope | Relative Complexity |
|---|---|---|
| MCP Proof of Concept | One system, limited tools, basic integration | Low |
| Custom MCP Server | Multiple tools/resources and API integrations | Medium |
| Enterprise MCP Platform | Multiple systems, security, monitoring, governance | High |
| Multi-Tenant MCP Platform | Tenant isolation, configurable tools, scalable infrastructure | High |
| Agentic AI Ecosystem | MCP + agents + orchestration + enterprise workflows | Very High |
Instead of using a generic hourly estimate, we recommend defining the required tools, integrations, security model, deployment environment, and expected agent workflows first.
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