Data & AI

AI Agents & MCP Integration Services.

Build AI that acts, not just answers. We design and deploy autonomous AI agents connected to your data and systems through the Model Context Protocol (MCP) — grounded, governed and production-ready on Azure AI, AWS and Google Cloud.

Data & AI

AI Agents & MCP Integration Services

AI agents are AI systems that reason, plan and take actions autonomously to complete multi-step tasks — using large language models plus tools, data and memory. The Model Context Protocol (MCP) is an open standard that connects agents to your tools, data and systems through a consistent, secure interface, replacing bespoke one-off integrations.

Schnell Technocraft delivers AI agents and MCP integration end to end: we design agents grounded in your data, connect them to your systems via MCP servers, and govern them with least-privilege access, guardrails and human-in-the-loop oversight. Built on Azure AI, AWS and Google Cloud, and aligned to our AI & Agent Security practice, we turn agentic AI from experiment into governed production.

Why Schnell

Our Technology Ecosystem
MicrosoftAWSGoogle CloudZscalerAdobeFortinetSentinelOneCrowdStrikeFreshworksIBMAutodesk MicrosoftAWSGoogle CloudZscalerAdobeFortinetSentinelOneCrowdStrikeFreshworksIBMAutodesk

Challenges We Solve

The problems we address

Agents that don't act

Chatbots that answer but can't complete real tasks.

Integration sprawl

Bespoke connectors for every tool and data source.

Governance fears

Autonomy without guardrails, access control or oversight.

Stuck in pilots

Promising agent demos that never reach production.

What We Do

End-to-end capabilities

Engaged as advisory, implementation or a fully managed service.

AI agent development

Design and build agents that reason, plan and take action.

MCP server integration

Connect agents to your data and tools via the Model Context Protocol.

Tool & system connectivity

Give agents secure, standardised access to APIs, apps and data.

Knowledge grounding (RAG)

Ground agents in your approved data for accurate, trusted output.

Multi-agent orchestration

Coordinate multiple agents and tools for complex workflows.

Guardrails & oversight

Least-privilege access, guardrails and human-in-the-loop controls.

Agent evaluation & monitoring

Test, measure and monitor agent quality, safety and cost.

Production & MLOps

Deploy, scale and operate agents reliably in production.

Agent Architecture

From prompt to governed action

A structured approach that maps to how data and AI actually deliver value.

Reason

LLM planning & logic.

Ground

Your data via RAG.

Connect

Tools & systems via MCP.

Act

Take real actions.

Oversee

Guardrails & human-in-loop.

Operate

Evaluate, monitor, scale.

Assist → Act

Agents that do the work

An assistant that only answers leaves the work to you. With MCP, agents securely access your systems and take real actions — researching, updating, orchestrating — grounded in your data and governed with guardrails, so agentic AI delivers outcomes, safely.

MCP

standard, secure access

Grounded

accurate output

Governed

guardrails & oversight

Use Cases

Where we help most

Enterprise AI agents

Agents that complete real, multi-step tasks.

MCP system integration

Standardised, secure access to your tools and data.

Multi-agent workflows

Coordinated agents for complex processes.

Grounded assistants

Domain assistants grounded in your data.

Our Approach

How we deliver

A proven method discover, design, build and operate.

1

Identify

Find high-value agent use cases and required systems.

2

Design & ground

Design the agent, ground it in your data, plan MCP connectors.

3

Integrate (MCP)

Connect tools and systems via MCP with least privilege.

4

Govern

Add guardrails, evaluation and human-in-the-loop.

5

Deploy & operate

Ship to production with monitoring and MLOps.

The outcome

Governed AI agents in production — reasoning, grounded in your data, and connected to your systems through MCP to take real actions, with guardrails, evaluation and oversight so agentic AI delivers outcomes safely.

Deliverables

What you get

Why Schnell

A data & AI partner you can rely on

Agentic + MCP specialists

We build agents and standardise access through MCP.

Grounded & governed

Accurate output with guardrails and human-in-the-loop.

Security-aligned

Backed by our AI & Agent Security practice.

Pilot to production

We take agents from demo to governed, operating systems.

Related Services

Explore more

Generative AI Solutions
Machine Learning Services
AI & Agent Security
Virtual Agents & Copilot Solutions
AI Cloud Infrastructure
Data Engineering Services

FAQ

Questions, answered

AI agents are AI systems that can reason, plan and take actions autonomously to complete tasks — not just answer questions. They use large language models plus tools, data and memory to carry out multi-step work, such as researching, drafting, updating systems or orchestrating other services on your behalf.
The Model Context Protocol (MCP) is an open standard for connecting AI models and agents to tools, data sources and systems in a consistent, secure way. MCP lets an agent discover and use your systems — databases, APIs, apps — through a standard interface, instead of bespoke one-off integrations for each.
MCP makes agents genuinely useful and maintainable: it standardises how they access your data and tools, improves security and governance, and lets you reuse connectors across many agents — so you can scale agentic AI without a tangle of custom integrations.
Agents for research and analysis, customer and employee support, document and data processing, workflow orchestration, and domain-specific assistants — grounded in your data, connected to your systems via MCP, and governed with the right guardrails and oversight.
We apply least-privilege tool access, grounding in approved data, guardrails, human-in-the-loop for high-impact actions, monitoring and governance — aligned to our AI & Agent Security practice — so autonomy never means uncontrolled risk.
We build on Azure AI, AWS and Google Cloud, with frameworks and MCP servers connecting to your systems — chosen and governed to fit your environment, data and risk profile.

Talk to our data & AI team

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