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MCP server · Notes

data-olympus MCP server

by knaisoma

Lets your AI look up your team's agreed coding rules and decisions before it writes code.

Flow diagram: you ask your AI “What library does our team use for date handling?”, on your own computer the data-olympus MCP server works with your team's notes, and you get back the rule your team agreed on.

data-olympus is a shared knowledge base for your team's coding rules and decisions, kept as plain markdown files in git. It gives your AI a way to check those rules before suggesting code, so it follows what your team already agreed on. It is handy for teams who use coding assistants and keep running into the same old arguments about which library or pattern to use.

What is an MCP server? The 30-second version

On its own, your AI can only chat with you. An MCP server is a small helper program that gives your AI a new skill or a connection to something useful. This one connects your AI to your team's knowledge base, so when you ask a question about how your project should do something, the AI can look it up there and answer with your team's actual rules instead of guessing.

What this MCP server does

You ask your AI something like which library to use for a task. The AI sends that question to this helper program. The helper searches your team's markdown knowledge base for the rule or decision that applies. It only returns entries that are marked as accepted and still valid, skipping old or replaced ones. Then the AI uses that answer to guide what it writes for you.

Flow diagram: you ask your AI “What library does our team use for date handling?”, on your own computer the data-olympus MCP server works with your team's notes, and you get back the rule your team agreed on. Click to zoom

What you can do with it

  • Look up your team's accepted coding standards before suggesting code
  • Check whether a decision has been replaced by a newer one
  • Search the knowledge base by topic, status, or type
  • Add a proposed rule to a pending queue for review
  • Trace the history of a decision through its replacement chain
  • Filter results to only show rules that are currently valid

Try asking your AI

  • “What library does our team use for date handling?”
  • “Is there an accepted decision about how we do database migrations?”
  • “Has the rule about logging been replaced by something newer?”
  • “What is our standard for error handling in this project?”

What it gives back to you

You get back plain answers in the chat, usually a short summary of the rule or decision that applies, with a note about its status and when it was last updated. If several entries match, you get a short list. If nothing matches, the AI tells you that too, so you know there is no agreed rule yet.

Before you start

What you need

  • Python 3.13 or newer
  • The uv tool installed (a small program that runs Python tools)
  • A data-olympus knowledge base folder, which you create with one command

Good to know

It can add proposed entries to your knowledge base, so check what it wrote before accepting it.

Install it with your AI

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Members get a ready-made prompt that lets the Claude desktop app check data-olympus MCP server, install it and connect it for them, step by step. You don't need any technical skills: you copy, paste and answer a few questions. Your connected AI can also find and install any of the 4,066 MCP servers here for you.

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Who it's for

Software teams who use coding assistants and want them to follow the team's own agreed standards and decisions.