MCP Server Development

Agentic AI

MCP Server Development Services

The Model Context Protocol (MCP) is an open standard for connecting AI assistants and agents to tools and data. We build MCP servers that give AI applications such as Claude, ChatGPT and your own agents secure, controlled access to your APIs, databases and business systems.

Instead of building a separate integration for every AI tool, one MCP server exposes your system's actions and data in a standard way. We design the tools, authentication and permissions carefully, because an MCP server is effectively a door into your systems.

GET A QUOTE VIEW PORTFOLIO

What we offer

Tool designClear, safe actions and data the AI can use.
AuthenticationOAuth and per-user permissions.
SecurityInput validation, rate limits and audit logs.
HostingRemote MCP servers on your cloud, or local servers for desktop use.
TestingVerified with popular AI clients before release.

Common use cases

Let staff query your ERP or CRM from an AI assistant
Give your AI agents access to internal APIs
Offer your SaaS product's features to customers' AI tools
Connect AI to internal documentation and tickets

Technology

Model Context Protocol
TypeScript
Python
Node.js
OAuth 2.0
Docker

Business benefits

Let AI assistants use your systems safelyClaude, ChatGPT and IDE agents can read and act through one standard interface
Build once, use everywhereone MCP server works with many AI clients
Fine-grained controlover which tools and data each assistant can access
Faster internal AI adoptionwithout custom integrations for every tool

Why work with Webtech Evolution

10+ years of delivery272+ projects for 118+ clients in 12+ countries since 2014.
One team, end to enddesign, front end, back end, mobile, QA and DevOps under one roof, so nothing gets lost between vendors.
Clear estimatesa written scope, timeline and price before work starts, and demos throughout the build.
You own everythingcode, designs and documentation are handed over in full and covered by an NDA.
Working hours that overlap with yoursMonday to Friday, 10:00–19:00 IST, with extended hours available for clients in the USA, Canada and New Zealand.

Our process

How we deliver

Discovery

agree the goal, users, data and how success will be measured.

Prototype

a working version on real examples within the first weeks.

Build and integrate

connect to your systems, add security, testing and monitoring.

Pilot

launch to a small group, measure results and improve.

Scale and support

roll out widely, with ongoing monitoring and updates.

Distinct Solutions

Related services

AI Agent Development ServicesRead more

Multi-Agent System DevelopmentRead more

AI Copilot DevelopmentRead more

AI Workflow AutomationRead more

All Agentic AI servicesRead more

Need people rather than a project? Hire AI developers.

See AI case studies · Get a Quote

FAQ

Frequently asked questions

MCP lets AI applications use external tools and data through one standard interface, so the same connection works across different AI assistants and agents.

It can be when built correctly. We use proper authentication, limit each tool to the minimum access needed, validate every input and log all actions.

Support has grown quickly across AI assistants, coding tools and agent frameworks. We confirm current support for the specific clients you plan to use.

The Model Context Protocol (MCP) is an open standard that lets AI assistants connect to tools and data. An MCP server exposes your systems, such as a CRM, database or API, to those assistants in a controlled way.

Yes, when designed properly. We use authentication, read-only tools where possible, approval steps for actions and full audit logs.

Claude, ChatGPT, many IDE coding assistants and a growing number of agent frameworks.