Agent Platform
AI Agent Tools, Integrations & MCP
Agents are only useful when they can reach the systems where work happens. We build and integrate the tool layer around them, including MCP servers and clients.
- 01AGENTThe agent decides it needs a capability.
- 02TOOL.SELECTIt chooses from a defined tool set.
- 03MCP.CALLThe call goes through a standard interface.
- 04AUTHZPermissions are checked for this agent and user.
- 05SYSTEMThe business system does the work.
- 06RESULTA result the model can use comes back.
What it is
We use MCP where it provides a useful standardised interface between agents and data, tools and systems — and plain APIs and function tools where it does not. The MCP specification has moved toward stateless operation, scalable HTTP infrastructure, authorisation hardening, long-running tasks and enterprise use.
MCP is an engineering capability here, not a marketing word.
When you need it
- SIGNAL 01Your agent can reason but cannot reach the data or systems it needs.
- SIGNAL 02Tools are defined ad hoc per agent and nobody can say what an agent is allowed to call.
- SIGNAL 03You want to expose your product or internal systems to agents through MCP.
- SIGNAL 04Tool calls fail, time out or return more than the model can use.
What we build
The engineering.
- 01
API integrations and function tools
Tools designed for a model to use well — clear names, tight inputs, useful outputs.
- 02
MCP servers
MCP servers that expose your data, tools and systems through a standard interface.
- 03
MCP clients
Agents and applications that consume MCP servers safely.
- 04
Enterprise system integration
CRM, ERP, ticketing, databases, internal APIs and SaaS platforms.
- 05
Search, browser and file tools
Tools that let an agent find, read and work with information.
- 06
Code execution tools
Sandboxed execution for agents that need to run code.
How it works
One run, end to end.
- 01
AGENT
The agent decides it needs a capability.
- 02
TOOL.SELECT
It chooses from a defined tool set.
- 03
MCP.CALL
The call goes through a standard interface.
- 04
AUTHZ
Permissions are checked for this agent and user.
- 05
SYSTEM
The business system does the work.
- 06
RESULT
A result the model can use comes back.
What it integrates with
Chosen for the workload and your environment — not a preferred provider.
- MCP
- REST and GraphQL APIs
- Databases
- SaaS platforms
- CRM
- ERP
- Ticketing
- File systems
- Search
- Browsers
- Code execution
In production
Production is part of development.
Evaluation, security, deployment and operations begin before release — on this service as on every other.
EVAL
How we test it
- Tool-use tests for correct selection and call accuracy.
- Contract tests between tools and the systems behind them.
- Failure, timeout and retry behaviour tested per tool.
POLICY
How we secure it
- Authentication and authorisation on every tool and MCP server.
- Least-privilege scopes per agent and per user.
- Secret protection and data leakage controls at the tool boundary.
RUNTIME
How we deploy it
- MCP servers deployed as scalable HTTP services where needed.
- Tools versioned alongside the agents that use them.
TRACE
How we operate it
- Tool traces with latency, errors and retries.
- Usage per tool, so unused and failing tools are visible.
What you receive
Engineering outputs, not a deck.
We do not hand over a prototype and leave production engineering to you.
- 01A tool layer, documented, with what each tool does and who can call it
- 02MCP servers or clients where a standard interface adds value
- 03Integrations with your enterprise systems
- 04Tool-use tests and contract tests
- 05Authorisation model for tools and data
- 06Tool-level tracing and metrics