Consulting · AI · A way forward

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MCP · APIs · Custom automation

Your tools.
Working together.

Connect the apps, information and actions your work depends on—with clear permissions, useful automation and room for human review.

Plan my integration Find the right starting point

Start with the outcome. Agree the scope. Build the connections that matter.

NUCLEUS / WORKSPACEEXAMPLE

Prepare a reporting workflow for my team.

4/4 · Return work for review

Ongoing CTO support is an option.

Illustrated tool: Example tools

Illustrative workflow

One connected workflowClear permissions

01 / What we connect

Less handoff.
More useful work.

You do not need a different tool for every problem. Start by making the tools you already use work together in a way your team can understand and control.

01

MCP connections

Give compatible AI applications access to defined tools and approved context. We scope what can be read, what can be changed and where a person should review the result.

02

API integrations

Connect services directly using their supported interfaces. The right approach depends on available actions, access permissions, account limits and the data involved.

03

Custom automation

Turn agreed triggers and repeatable steps into a workflow—with clear ownership, error handling and a way to inspect what happened.

Connected tools / MCP + APIs

Your tools. One connected system.

Apps, AI agents and workflows—connected with purpose.

We design the connections between your tools—using MCP, APIs and custom automation.

16 example tools · select one to explore a workflow

NUCLEUS / WORKSPACEEXAMPLE

Prepare a reporting workflow for my team.

4/4 · Return work for review

Ongoing CTO support is an option.

Illustrated tool: Claude
Project example

Illustrative workflow only. This display does not verify connections or run an agent.

Example workflow · Claude

Give your AI the right context.

Explore a workflow that connects compatible assistant tools to approved context and actions through a scoped MCP server.

ClaudeScoped MCP serverApproved context

Plan my integration

Example tools. Connections are scoped to your workflow.

MCP gives compatible AI tools a structured way to use approved context and actions.

APIs connect software services directly. We choose the connection method around the work you need done.

02 / Ways to work together

Start at the
right level.

Choose help with the plan, the build or ongoing care. Scope, availability and pricing are confirmed after discovery.

01 / Plan

Integration Blueprint

For deciding what should connect, how it should work and what needs approval.

  • Workflow and tool mapping
  • Permission and data-boundary review
  • Proposed architecture and review points
  • Scoped implementation recommendation

Scope and pricing agreed after discovery

Discuss a blueprint

02 / Build

Connected Workflow Build

For implementing an approved connection with a clear definition of done.

  • Agreed API, MCP or automation workflow
  • Authorization and error handling
  • Behavior and approval checks
  • Documentation and handoff

Scope and pricing agreed after discovery

Discuss a build

03 / Improve

Maintain & Improve

For ongoing care under a separately agreed support and improvement scope.

  • Monitoring and ownership review
  • Issue triage within the agreed scope
  • Planning for platform changes
  • Prioritized improvements and documentation

Scope and pricing agreed after discovery

Discuss ongoing support

03 / The approach

Scope it.
Build it.
Keep it accountable.

  1. 01

    Start with the outcome.

    Describe the work, the people involved and what a useful result looks like.

  2. 02

    Agree the boundaries.

    Choose the supported tools, permissions and actions that need a human decision.

  3. 03

    Build and verify.

    Test the agreed workflow, failure paths and review requirements before relying on it.

  4. 04

    Document and hand over.

    Make ownership, operation and next steps understandable to the people using it.

04 / Questions

A little clarity
before we connect.

Is MCP the same thing as an API?

No. MCP gives compatible AI applications a standard way to use defined tools and context. APIs connect software services directly. A project may use either or both, depending on what the tools support.

Can we keep the tools we already use?

That is the starting point. We review available interfaces, account permissions, plan limits and your desired outcome before recommending what should connect or change.

Will this automatically publish or change live data?

Not by default. Publishing, sending messages or changing important records follows the permissions and review steps agreed for your project.

Do you need passwords or API keys in my inquiry?

No. Tell us about your goal and tools. Access setup uses the appropriate secure authorization process after the scope is agreed.

What happens after the workflow is built?

Documentation, ownership and ongoing support are part of the scope discussion. Monitoring, maintenance and response commitments are agreed explicitly.

05 / Start a conversation

Let’s connect
what matters.

Tell us what you want to make easier and which tools are involved. You do not need to arrive with the technical solution.

Tell us about your project

You’ll review your inquiry before sending it.