AI Solutions

AI integrations (MCP)

We connect AI assistants like Claude and ChatGPT to your own systems using the Model Context Protocol (MCP) and custom skills, so your team can ask questions of, and act on, company data from the AI tools they already use.

Is this for you?

You’ll get value from this if…

  • Your team uses Claude or ChatGPT but has to copy and paste company data in
  • You want AI to look things up in your CRM, database or docs
  • The same AI integration is being rebuilt for every tool
  • You need AI access that respects each user's permissions

Benefits

What changes for your business

What you get

What we deliver

  • MCP servers

    Secure connectors that expose your systems to AI assistants.

  • Custom skills and instructions

    Reusable know-how so the assistant follows your processes.

  • Access control

    Each person only reaches the data they are allowed to see.

  • Rollout and training

    Set up for your team, with guidance on using it well.

How it works

From first call to running in production

  1. 01

    Pick systems

    Choose which tools and data the assistant should reach first.

  2. 02

    Build connectors

    Create MCP servers with the right permissions.

  3. 03

    Test

    Check real tasks work safely and correctly.

  4. 04

    Roll out

    Enable for your team and expand to more systems.

Example applications

What this looks like in practice

Typical applications of this service. Illustrative, not client case studies.

  • 01Ask Claude about customers straight from your CRM
  • 02Let an assistant query your database in plain English
  • 03Custom skills that follow your house style and processes
  • 04Connect internal docs and wikis to your AI assistant

Technology

Tools we work with

Why Bitfumes

Built by engineers who ship

  • Senior team, no hand-offs

    The engineers on your first call are the ones who build your product.

  • 10+ years of engineering leadership

    Led by Sarthak Shrivastava, Docker Captain, AWS Certified Solutions Architect, AWS Certified Developer.

  • We teach this for a living

    156K+ developers learn from our founder on YouTube, and 100K+ on Udemy.

  • Production, not prototypes

    Tests, monitoring and handover are part of every build, not extras.

100+
Projects delivered
40M+
Users reached
98%
Client retention
9 yrs
In business

How to start

From first conversation to production

  1. 1

    Talk to us

    Tell us the problem. We come back with a straight view on whether it is worth building.

    Get in touch
  2. 2

    Build

    A senior team embeds with yours and ships in short cycles, with a demo every week.

  3. 3

    Run and improve

    We hand over cleanly, or stay on to monitor, support and extend what we built.

FAQs

Common questions

What is MCP?

The Model Context Protocol is an open standard for connecting AI assistants to external tools and data, so one connector can work across several AI apps.

Is it safe to connect AI to our systems?

It can be, with the right design: least-privilege access, per-user permissions, logging and human approval for actions that change data.

Which AI tools does it work with?

MCP is supported by Claude and a growing number of other AI apps and developer tools.

Do we need to change our systems?

No. MCP servers sit in front of your existing systems and use their APIs or databases.

Can the AI make changes, or only read?

Either. We usually start read-only and add actions with human approval once the team is comfortable.

Insights

Related reading

Next step

Want this built into your business, not just explained?

Tell us the problem and we'll come back within one business day with a straight view on whether AI is worth it for you, and what it would take to build.

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