runtime-mcp

runtime-mcp

Drop-in MCP server that lets Claude inspect, debug, and hot-fix your running Bun process through conversation.

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README

runtime-mcp

Drop-in MCP server that lets Claude inspect, debug, and hot-fix your running Bun process through conversation.

One line of code. Claude can now see inside your running Bun server — memory, queries, traffic, errors, everything.

import { attachMCP } from 'runtime-mcp';
attachMCP({ port: 3100 }); // that's it

Your Bun process now speaks MCP. Connect Claude Desktop, Cursor, or any MCP client and start asking questions about your live app.

Why

Debugging a running app today means adding logging, restarting, and hoping you guessed the right thing to log. LLMs can read your source code, but they can't see your runtime state — the variable values, the open connections, the slow queries, the memory growth.

runtime-mcp fixes that. It exposes your process internals as MCP resources and tools, so the LLM examines the live patient instead of guessing from the chart.

Quick Start

1. Install

bun add runtime-mcp

2. Attach to your server

import { serve } from 'bun';
import { attachMCP } from 'runtime-mcp';

const server = serve({
  port: 3000,
  fetch: () => new Response('Hello'),
});

attachMCP({
  port: 3100,
  bind: { server },
});

3. Connect Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "my-app": {
      "url": "http://localhost:3100/sse"
    }
  }
}

Restart Claude Desktop. Ask: "What is this process doing?"

What Claude Can See

Resources (read-only, always available)

Resource URI Description
Process info runtime://process/info PID, uptime, Bun version, entrypoint, env vars
Memory runtime://process/memory RSS, heap used/total, external, array buffers
Event loop runtime://process/event-loop Pending timers, active handles, loop lag
HTTP routes runtime://server/routes All registered routes, active connections, req/min
Request log runtime://server/requests Recent HTTP requests with status, duration, bodies
Errors runtime://errors/recent Uncaught exceptions and unhandled rejections (deduplicated)
DB connections runtime://db/connections Pool state, recent queries, slow queries
Module graph runtime://modules/graph Full dependency tree from entrypoint
WebSockets runtime://websockets Active connections, message counts
Variables runtime://variables/{path} Inspect any bound variable by dot-path

Tools (actions Claude can take)

Tool Description
inspect Deep-inspect any reachable object by expression
eval Execute JavaScript in the process context
get_source Read source files from the running process
intercept_requests Capture HTTP traffic matching a glob pattern
intercept_sql Capture SQL queries matching a substring
subscribe_events Stream real-time events (requests, errors, queries)
heap_snapshot Take a V8 heap snapshot, diff against previous
profile CPU profile for N milliseconds*
set_breakpoint Conditional breakpoints with state capture*
hot_patch Replace a module's code at runtime without restart
shell Run read-only shell commands in the process cwd

*Requires node:inspector — not yet available in Bun (tracking issue).

Prompts (guided debugging workflows)

Prompt Description
debug-endpoint Systematically debug a specific HTTP endpoint
find-memory-leak Snapshot, wait, diff, identify growing allocations
explain-process Full overview of what the process is doing right now
generate-tests Watch live traffic and generate test cases from it
optimize-query Find slow queries, explain plans, suggest fixes

Configuration

attachMCP({
  // Transport
  port: 3100,              // MCP server port (default: 3100)
  host: 'localhost',       // Bind address (default: 'localhost')

  // What to expose
  bind: {                  // Objects the LLM can inspect/eval against
    server,
    db,
    config,
  },

  // Access control
  readOnly: false,         // Disable eval, hot_patch, shell (default: true in production)
  allowedTools: undefined, // Whitelist specific tools
  blockedTools: undefined, // Blacklist specific tools

  // Observation tuning
  requestLog: {
    maxSize: 1000,         // Ring buffer size
    includeBodies: true,   // Capture req/res bodies (default: false in production)
  },
  sqlLog: {
    maxSize: 500,
    includeParams: true,   // Capture query params (default: false in production)
    slowThreshold: 500,    // Slow query threshold in ms
  },

  // Remote access (requires auth)
  auth: 'your-secret-token', // Required when host !== localhost
});

Production Defaults

When NODE_ENV=production, runtime-mcp automatically:

  • Sets readOnly: true — disables eval, hot_patch, shell
  • Hides request/response bodies
  • Hides SQL query parameters
  • All read-only inspection tools remain available

Binding Objects

Pass objects to bind to make them accessible to Claude:

import { serve } from 'bun';
import { SQL } from 'bun';
import { attachMCP } from 'runtime-mcp';

const db = new SQL('postgres://localhost/myapp');
const server = serve({ port: 3000, fetch: handleRequest });
const config = { featureFlags: { newCheckout: true }, rateLimit: 100 };

attachMCP({
  port: 3100,
  bind: { server, db, config },
});

runtime-mcp auto-detects:

  • Bun.serve() servers — wraps the fetch handler to intercept HTTP traffic
  • Bun.sql instances — wraps queries to capture SQL traffic
  • WebSocket handlers — tracks connections and messages

Everything else is available through inspect and eval by name.

Security

  • Binds to localhost only by default
  • Non-localhost binding requires the auth option (Bearer token)
  • Production mode disables code execution tools
  • Shell tool blocks destructive commands (rm, kill, shutdown, etc.)
  • Sensitive env vars are filtered from process info

This is a development tool. Treat the MCP port like a debugger port — don't expose it to the internet.

Requirements

  • Bun >= 1.0.0
  • An MCP client (Claude Desktop, Cursor, or any MCP-compatible tool)

How It Was Built

This project was built in a single session using Ralph, an autonomous AI agent loop. A PRD was written, converted to a task list, and Ralph implemented all 22 user stories sequentially — each one adding a resource, tool, or interceptor layer.

License

MIT

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