Hirð compiler MCP server
by no-materialsLets your AI ask the Hirð compiler about types, actors, effects and supervision instead of guessing from source.
AI Library · 4,066 MCP servers
Lets your AI ask the Hirð compiler about types, actors, effects and supervision instead of guessing from source.
Lets your AI edit files by line numbers it just read, and blocks edits when the file has changed underneath.
Lets your AI read your code and answer questions about how data moves through it.
Let your AI read your Linux server's log files so it can help you figure out what went wrong.
Search your code by meaning and see what calls what, all on your own machine.
Watch every message your AI sends to and receives from an MCP server, in a simple web page.
Lets your AI read the structure of a code project on your computer and explain how it fits together.
Test how your MCP servers and AI agents behave when things go wrong, and get a reliability score.
Turn your AI's explanations into Mermaid diagrams you can view in your browser.
Lets your AI propose and look up your team's architecture decisions, while humans keep the final say.
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.
Lets your AI read your OpenAPI API specs so it can explain endpoints and write code that matches them.
Give your AI a real, always-open terminal it can start things in and come back to later.
Lets your AI inspect webhooks, replay requests, and manage tunnels for your local apps.
Let your AI open real terminal sessions on your computer, servers, and network devices, and keep them running.
Lets your AI look inside a recorded program run to answer debugging questions about calls, errors and values.
Lets your AI talk to devices plugged into a serial port, like Arduino or STM32 boards.
Lets your AI run a small, approved set of command-line tools on your computer and read the results back to you.
Lets your AI plan, track and finish coding tasks without losing its place between sessions.
Lets your AI coding helper check risky actions before it runs them, and remember your past feedback.
Lets your coding AI write, check and follow a plain English plan for each feature before it writes code.
Hover any web page element to see its name, then tell your AI exactly which part to change.