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AI integration & MCP servers

Connect AI assistants and agents to the systems you already run

Connect AI assistants and agents to your CRM, ERP, databases and SaaS products securely, with MCP servers, limited permissions and full audit logs.

Scope your first connector Ways to work with us

Built for working with US teams

  • You own the IPAll code and deliverables belong to you.
  • NDA before discoveryYour plans stay confidential from the first call.
  • 4+ hours with US EasternDaily overlap for standups, demos and questions.
  • Engineering since 201610+ clients served with software and testing.
  • Proven on our own productsSix products built with the same pipeline.

How we deliver

From first conversation to verified release

Each step runs on our six-stage AI-led pipeline, with independent review, and engineers approve every release.

  1. 01Refine

    Map the systems and actions

    We list which systems AI should reach and exactly what it may read or change.

  2. 02Design

    Design access and permissions

    We design least-privilege access, authentication and audit logging.

  3. 03Architect

    Plan the connector

    We plan the MCP server or connector around your real APIs and data.

  4. 04Build

    Build the connector

    We build the MCP server or connector with limits and logging in place.

  5. 05Verify

    Test and hand over

    We test permissions, limits and failure cases, then hand over with documentation.

Capabilities

What we can take on

  • MCP server development
  • CRM, ERP and helpdesk connectors
  • Least-privilege access and OAuth
  • Audit logging and rate limits
  • Connector maintenance

When outside help makes sense

  • You want AI assistants to use your CRM, ERP, database or product
  • You need tight permissions and audit logs before AI touches your data
  • You are building your own SaaS product and want it to work with AI assistants

When you probably don't need us

  • A ready-made connector already covers your system and security needs
  • You don't yet know which tasks AI should perform

How we use AI on your project

  • We tell you which AI tools are used on your project.
  • Your code and data only go into AI tools you approve.
  • You own all code and deliverables.
  • Independent review at every stage, and engineers approve every release.

Ways to work with us

Start small, scale when it works

Choose the engagement that fits where you are today. Every model runs on the same AI-led pipeline, with independent review at every stage.

  • Fixed price2–4 weeks

    Spec Sprint

    Turning an idea or a stalled project into a clear, costed plan.

    Team
    Agreed in your proposal
    You get
    A written plan, architecture and a working slice of the product, with a fixed quote for the full build
    Decision point
    At the end of the sprint you decide whether to build, change scope or stop
    Book a Spec Sprint
  • MonthlyOngoing

    AI delivery pod

    Shipping features continuously with a small, focused team.

    Team
    Engineers, QA and a delivery lead
    You get
    Features delivered through our six-stage AI-led pipeline
    Decision point
    Agreed in your proposal
    Plan a delivery pod
  • Agreed in your proposalAgreed in your proposal

    Team extension

    Adding engineers or testers to the team you already have.

    Team
    Dedicated AgiloWorks engineers or testers
    You get
    Work delivered in your tools and your process
    Decision point
    Agreed in your proposal
    Extend your team
  • Fixed priceAgreed timeline

    Fixed-scope project

    A defined build, modernization or QA project.

    Team
    Agreed in your proposal
    You get
    The agreed build, modernization or QA project, with code you own
    Decision point
    Sign-off at each agreed milestone
    Scope a project

AI integration & MCP servers: questions

Who owns the connector code?

You do. All code and deliverables belong to you.

Do you sign an NDA?

Yes. We sign an NDA before discovery.

How do you work with teams in the USA?

Our engineering team overlaps at least 4 hours a day with US Eastern time for standups, demos and questions.

How long does a connector take?

It depends on the systems and actions involved. We agree scope and timeline before work starts.

How is the work billed?

A defined connector is priced as a fixed-scope project. Ongoing maintenance can run on a monthly basis. We will recommend the right model after the first call.

What if the result doesn't meet the agreed criteria?

Every engagement has a defined end point where you review the work and decide whether to continue, change scope or stop.

What is an MCP server?

The Model Context Protocol (MCP) is an open standard that lets AI assistants and agents use tools and data from other systems. An MCP server exposes your system to them in a controlled way.

Talk to an engineer about ai integration & mcp servers

We sign an NDA before discovery, you own everything we build, and we overlap 4+ hours a day with US Eastern time.

Talk to an engineer Ways to work with us

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