The Philadelphia Inquirer

The Philadelphia Inquirer Health API

Liveness and readiness probes.

Documentation GitHub OpenAPI

Operations 2

GET /livez Get Liveness Probe #

GET /readyz Get Readiness Probe #

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OpenAPI Specification

openapi: 3.2.0
info:
  title: Dewey MCP Health API
  version: '0.1'
  summary: FastMCP server exposing read-only search over the Inquirer archive.
  description: Dewey MCP is a containerized FastMCP server for read-only search over a news archive backed by Azure AI Search. It exposes a single MCP tool, `search_archive`, that accepts a search query plus optional date and author filters and returns ranked article chunks with metadata. The server is open source under `phillymedia/dewey-mcp` and is the protocol surface for the broader Dewey AI librarian project (Lenfest Institute fellowship, supported by Microsoft and OpenAI). This OpenAPI describes the server's HTTP envelope (MCP protocol endpoint, liveness, and readiness probes); the MCP tool itself is described in `components.schemas`.
  contact:
    name: Dewey MCP
    url: https://github.com/phillymedia/dewey-mcp
servers:
- url: http://127.0.0.1:8000
  description: Default local server (configurable via MCP_HOST and MCP_PORT)
tags:
- name: Health
  description: Liveness and readiness probes.
paths:
  /livez:
    get:
      operationId: getLiveness
      summary: Get Liveness Probe
      description: Returns process liveness status.
      tags:
      - Health
      responses:
        '200':
          description: Process is alive.
          content:
            application/json:
              schema:
                type: object
                properties:
                  status:
                    type: string
                    example: ok
  /readyz:
    get:
      operationId: getReadiness
      summary: Get Readiness Probe
      description: Returns readiness status; ready when the configured Azure AI Search index is reachable.
      tags:
      - Health
      responses:
        '200':
          description: Service is ready to serve search traffic.
          content:
            application/json:
              schema:
                type: object
                properties:
                  status:
                    type: string
                    example: ready
        '503':
          description: Service is not ready (Azure AI Search unreachable).