Nibble

Nibble is an AI-powered production incident investigation prototype built with the Model Context Protocol (MCP) and the OpenAI Agents SDK.

What it does

Nibble exposes production observability data through an MCP server, including:

Service health
Service logs
Recent deployments
Deployment details

An OpenAI agent can use these tools to autonomously investigate production incidents and identify likely root causes.

Example

Prompt:

Customers are reporting that checkout is failing. Investigate the incident and determine the likely root cause. Then indicate which deployment(s) caused it and who is responsible for the deployment(s).

Agent run output:

OpenAI agent incident investigation output

The agent can autonomously:

Check service health
Identify degraded services
Inspect relevant logs
Correlate failures with recent deployments
Inspect deployment changes
Determine a likely root cause

Architecture

OpenAI Agent
    |
    | MCP / stdio
    v
Nibble MCP Server
    |
    +-- get service health
    +-- get service logs
    +-- get deployments
    +-- get deployment details
    |
    v
Mock production data

Running locally

Install dependencies:

npm install

Create a .env file:

OPENAI_API_KEY=your_api_key

Run:

npx tsx src/agents.ts