Aidb MCP Server

io.github.ai-debugger-inc/aidb

local only

Aidb runs on your own machine — the client starts it, so there is no endpoint to ping. 131 installs a week from pypi.

Debug any supported language with breakpoints, variable/state inspection, and stepping.

Installs per day peak 37 · avg 18 · +34% w/w

a month agotoday

131

Installs / week

pypi · ai-debugger-inc

—

Stars

on GitHub

—

Last commit

0 releases in 90 days

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License

language unknown

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add aidb -- uvx ai-debugger-inc

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "aidb": {
      "args": [
        "ai-debugger-inc"
      ],
      "command": "uvx"
    }
  }
}

~/.codex/config.toml

[mcp_servers.aidb]
command = "uvx"
args = ["ai-debugger-inc"]

.cursor/mcp.json

{
  "mcpServers": {
    "aidb": {
      "args": [
        "ai-debugger-inc"
      ],
      "command": "uvx"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "aidb": {
      "args": [
        "ai-debugger-inc"
      ],
      "command": "uvx"
    }
  }
}

Aidb — questions

Answers built from our own checks of this server.

Why is there no uptime for Aidb?

Aidb runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package ai-debugger-inc was installed 131 times last week.

How do I connect Aidb?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls ai-debugger-inc straight from pypi; nothing to host, nothing to sign up for.

How many people use Aidb?

The pypi package ai-debugger-inc was installed 131 times in the last week. Week over week that is +34%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.