AI Solutioning

MCP Server Development

Custom Model Context Protocol servers that let Claude and your AI agents securely reach your tools and data. Authentication, multi-tenancy, rate limiting and the right transport, built for production.

Book a 30-min call Ways to engage

Sound familiar?

What we hear before we start.

"Our team wants Claude to use our internal tools, but we do not know how to do it safely."

"We built a quick MCP server and now we need auth, tenancy and limits before customers touch it."

"Every AI vendor wants access to our data and we want one controlled way in."

What you get

Production MCP servers, not weekend experiments.

Internal-tools servers

Give your teams AI access to the systems they use every day, with the right permissions.

Multi-tenant servers

One server, many customers, with strict isolation between them.

Auth and permissions

OAuth, scoped tokens and per-tool permissions that your security team will sign off.

Rate limits and quotas

Protect your systems and your bill from runaway agents.

Transport and hosting

The right transport for each client, hosted in your cloud and your region.

Monitoring and evals

See which tools are called, how often, and whether the results are right.

Outcomes

What changes when we are done.

2 weeks

From idea to an evaluated, working prototype your team can test with real data.

Evals

Every AI feature ships with evals and tracing, so quality is a number you watch.

30 to 60%

Typical inference-cost reduction once model routing and caching are in place.

In-repo

Code lands in your repository with your engineers, not a vendor sandbox.

Ways to engage

Start small. Keep what works.

Sprint

AI-Native Sprint

Two-week build sprint: a working, evaluated prototype of the highest-value AI feature, with the architecture documented. Fixed scope, fixed fee.

from A$10K

Get a proposal

Build

AI-Native Build

Six to ten weeks: a production AI feature or product with agents, retrieval, evals, observability and cost controls, in your repo.

from A$50K

Get a proposal

Embedded

Embedded AI team

A squad that builds alongside your engineers and leaves them able to run it. Two to four days a week, quarterly outcomes.

from A$12K/mo

Get a proposal

Questions

What people usually ask.

What is MCP?

An open standard that lets AI assistants like Claude call your tools and read your data through a controlled interface.

Can customers use it too?

Yes. We build multi-tenant servers that let your customers connect their own AI tools to your product.

Where does it run?

In your cloud account and your region, so data residency stays under your control.

The stack

What we build with.

We are model and cloud agnostic. We pick what suits your data, your team and your budget, and we have shipped production work on every tool here.

ENTERPRISE AI PLATFORMS

Agents on the platforms you already trust.

Your data stays in your tenancy and your region. We design, build and run agents on whichever cloud or model provider your security team already approved.

MICROSOFT AZURE

Microsoft Foundry

Foundry Agent Service with OpenAI, Claude, Grok and Llama modelsAgents wired into Microsoft 365, Teams and SharePointRegional data zones for Australia and Canada

Best when you run on Microsoft 365 and Entra ID.

AMAZON WEB SERVICES

Amazon Bedrock and AgentCore

AgentCore runtime, memory, gateway and identity for production agentsClaude, Llama and Amazon Nova with Bedrock GuardrailsKnowledge Bases over S3, RDS and your data lake

Best when your data and workloads already live in AWS.

GOOGLE CLOUD

Vertex AI and Gemini Enterprise

Gemini and Claude through Vertex AI Model GardenAgents built with the Agent Development Kit and Agent EngineGrounded in BigQuery and Google Workspace

Best when you are on BigQuery or Google Workspace.

ANTHROPIC

Claude

Agents on the Claude API with the Agent SDK and MCPClaude Code rolled out to engineering teamsClaude for Enterprise with your SSO and data controls

Best when reasoning, writing and code quality decide the outcome.

OPENAI

OpenAI

Agents built on the Responses API and Agents SDKChatGPT Enterprise connected to your internal toolsCodex for engineering teams

Best when ChatGPT is already in your people's hands.

XAI · SPACEX

Grok

Grok models through the xAI APIAgents that read live public signals in real timeGrok alongside other models behind one router

Best when speed and live market or social signals matter.

DATA PLATFORMS

Snowflake and Databricks

Cortex Agents and Mosaic AI working where your data already sitsQuestions in plain English answered over governed tablesYour existing access rules apply to every agent query

Best when your data lives in a warehouse or lakehouse.