MCP server · Notes
Flaiwheel MCP server
by dl4rce
Give your AI coding helper a long-term memory so it remembers past bugs, fixes and decisions.
Flaiwheel is a memory and record-keeping helper for AI coding assistants. It runs on your own computer or server, and it keeps notes about your project in a place your AI can look things up. It is handy for teams working on real codebases where the same bug keeps coming back.
What is an MCP server? The 30-second version
On its own, your AI can only chat. An MCP server is a small helper program that gives your AI a new skill or a connection to another tool. Flaiwheel is that helper here: it holds your project knowledge, and your AI can ask it questions or add notes to it. So instead of starting from zero every time, your AI can check what was already learned.
What this MCP server does
You ask your AI something about your project, like why a certain file is written the way it is. Your AI sends that question to Flaiwheel, which searches the notes and documents you have stored. Flaiwheel looks through both meaning and exact words, then hands back the most useful pieces. Your AI reads them and answers you with that context. When your AI fixes a bug or makes a decision, it can write a short summary back into Flaiwheel so the next session remembers it.
Click to zoomWhat you can do with it
- Search your project notes before your AI starts coding
- Save a short summary of a bug fix so it is not forgotten
- Write architecture notes that stay up to date
- Look up what is known about a specific file before editing it
- Capture knowledge automatically from your git commits
- Analyse a codebase and get a report of what to document first
- Check a note for problems before it goes into the knowledge base
Try asking your AI
- “Search Flaiwheel for anything we know about the login timeout bug”
- “Write a bugfix summary for the fix I just made to the payment retry logic”
- “What does Flaiwheel know about the file src/auth/session.ts before I change it”
- “Analyse the codebase at /projects/legacy-app and tell me which files to document first”
What it gives back to you
You get answers in your chat, written in normal words, based on the notes Flaiwheel found. It can also hand back lists, like the top files worth documenting or a list of duplicate files it noticed. When your AI writes something, Flaiwheel confirms it saved the note. Over time you also get simple numbers about how often the memory was used and where gaps are.
Before you start
What you need
- Docker installed on your computer or server
- A git repository where Flaiwheel can store its notes
- An AI coding tool that can connect to an MCP server, like Cursor, Claude Code or VS Code Copilot
Good to know
Flaiwheel reads your project files and stores notes in a git repository, so make sure you are comfortable with where that repository lives and who can see it.
Install it with your AI
Add Flaiwheel MCP server to your AI, no technical skills needed
You don't install anything by hand. You copy one prompt, paste it into an AI that can work on your computer, and it checks, installs and connects the server for you, asking you when it needs something.
Sign in to get the install prompt
Members get a ready-made prompt that lets the Claude desktop app check Flaiwheel 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.
Who it's for
Engineering teams and developers who use AI coding assistants on real projects and are tired of fixing the same bug twice.
