Is this for you?
AI assistants become far more useful when they can reach your own systems: your documentation, your data, your tools. The Model Context Protocol (MCP) is the standard way to connect them, and the connection needs the same care as any other access to your systems.
For example:
- Letting Claude look up your documentation or data
- Giving an AI assistant safe access to an internal tool
- A shared MCP server for your whole team
What Blue Pixel delivers
- Custom MCP servers for your systems and data
- Tools and resources designed so assistants use them correctly
- Access limited to what each assistant should reach
- Shared servers for a team or company, not only one machine
- Plugins and skills for Claude Code that put it to work
How the work goes
Choose the connections
Which systems and information an assistant should reach, and for whom.
Build the server
An MCP server with clear tools, tested with real assistants.
Roll it out
Deployed for your team, with access controls and notes for the people who maintain it.
What helps scope the work
It helps to know:
- How many systems the server connects, and what their APIs support
- Who uses it: one team, or the whole company
- Security requirements for the data the assistant can reach
Questions
What is MCP?
The Model Context Protocol is an open standard for connecting AI assistants to tools and data. One MCP server can be used by Claude and other assistants that support it.
Have you built MCP servers?
Yes. Blue Pixel built a shared MCP gateway that supplies company standards to Claude Code; the case study and its source on GitHub are linked below.