Vectr MCP server
by swapnanilLets your AI code editor search your code by meaning and remember findings across sessions.
AI Library · 4,066 MCP servers
Lets your AI code editor search your code by meaning and remember findings across sessions.
Give your AI coding helper a lasting memory of your project, so it stops repeating old mistakes.
Lets your AI read a tidy summary of your codebase so it writes code that fits your project.
Lets your AI study your codebase's structure and suggest where changes belong.
Lets your AI search code files for function and class names and show you where they are.
Your AI remembers how your codebase works and finds the right files fast, without re-reading everything.
Lets your AI shrink big code files and messy logs so it uses fewer tokens and answers better.
Lets your AI check, test and review Deed code with the real compiler instead of guessing.
Your AI checks its own code changes for security and risky edits before saving them, and tells you what it fixed.
Lets your AI ask the Hirð compiler about types, actors, effects and supervision instead of guessing from source.
Lets your AI read your code and answer questions about how data moves through it.
Search your code by meaning and see what calls what, all on your own machine.
Lets your AI read the structure of a code project on your computer and explain how it fits together.
Your AI can look at an error message, suggest a likely fix, and remember fixes that actually worked in your project.
Let your AI explore a SystemVerilog or Verilog chip design and trace signals without pasting code.
Lets your AI read your codebase's concepts, naming rules, and similar functions in one quick step.
Give your AI a real, always-open terminal it can start things in and come back to later.
Lets your AI look inside a recorded program run to answer debugging questions about calls, errors and values.
Lets your AI plan, track and finish coding tasks without losing its place between sessions.
Lets your coding AI write, check and follow a plain English plan for each feature before it writes code.
Have your AI run a local pre-launch check on your app and hand you a scored report with fixes.
Your AI can answer "what breaks if I change this" by looking at a real map of your code, not guessing.
Lets your AI attach to a running program, step backward and forward through what it did, and find the bug.
Check and build web animations that respect reduced-motion settings and accessibility rules.