Our Services

Model Context Protocol (MCP) Development & Integration Services

Connect your tools to any AI model — once, for everything.

Model Context Protocol (MCP) is the new universal standard — championed by Anthropic and adopted by OpenAI, Google, and Microsoft — for connecting AI models to external tools and data. Instead of building a custom integration for every AI model separately, MCP lets you build once and connect to everything. We design and deploy production MCP servers that give AI models safe, controlled access to your company's data and capabilities.

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What's Included

What We Build

Custom MCP Servers

We build MCP servers that expose your internal tools, databases, and business logic as structured capabilities any AI model can call — search your CRM, query your database, create tickets, send emails.

Database MCP Connectors

Give AI models read/write access to PostgreSQL, MySQL, MongoDB, and other databases with row-level security, rate limiting, and audit logging built in.

SaaS Tool Integrations

MCP connectors for Slack, Notion, Jira, Salesforce, HubSpot, GitHub, and Linear — letting AI agents interact with your existing toolstack without custom API plumbing.

Enterprise MCP Gateways

Centralised MCP gateway architecture for large organisations — a single secure endpoint that AI models connect to, with authentication, logging, and access control per team.

Technology

Why MCP Is the Future

Adopted by Every Major AI Lab

Anthropic created MCP. OpenAI, Google DeepMind, and Microsoft have all adopted it as the standard. Any AI model your business uses will support MCP — this investment pays dividends forever.

Build Once, Connect Everywhere

One MCP server works with Claude Desktop, ChatGPT, Cursor, Cline, and any other MCP client — no re-integration as the AI landscape evolves.

Secure by Design

MCP enforces explicit capability declarations and user consent — AI models can only do exactly what your MCP server exposes, with a full audit trail of every action.

Powers Agentic Workflows

MCP is the connective tissue of AI agent systems. Agents use MCP to interact with the world — building your MCP layer now means your future agents are ready to act.

Our Approach

Our Delivery Process

Tool Mapping Session

We inventory your internal systems and identify which capabilities would deliver the most value when exposed to AI models.

MCP Schema Design

We design clean, well-typed tool schemas that make it easy for AI models to call your capabilities correctly and interpret responses accurately.

Security & Permissions Layer

Every MCP server we build includes authentication, per-tool permission scopes, rate limiting, and complete request/response logging.

Testing & Documentation

Full integration test suite and a developer guide so your team can extend the MCP server as your toolstack grows.

What You Get

Every engagement includes

Works with Claude, GPT, Gemini & Cursor

Build once, no re-integration needed

Full security & audit logging

Ready for future AI agent workflows

Ready to get started with MCP Integration?

Let's talk about your project. We'll listen, assess, and give you an honest recommendationno sales pitch.

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Other Services We Offer

AI & ML

Predictive models, recommendation engines, computer vision, NLP, and custom ML pipelines that drive measurable business outcomes.