Mock — Mock Data & API Simulation Tool

Generate realistic mock data, define API endpoints, record and replay HTTP interactions, and manage response schemas — all from the command line. Perfect for frontend developers prototyping without a backend, QA engineers needing test fixtures, or anyone who needs fake-but-realistic data fast.

Prerequisites

• Python 3.8+
• bash shell
• jq (for JSON formatting, optional but recommended)
• curl (for server testing)

Data Storage

All mock data is stored in ~/.mock/data.jsonl as newline-delimited JSON. Each record has a unique id, a type field (endpoint, response, schema, seed, recording), and a created_at timestamp.

Configuration is stored in ~/.mock/config.json.

Commands

server

Start a mock HTTP server on a specified port. Serves all defined endpoints with their configured responses.

MOCK_PORT=8080 bash scripts/script.sh server

endpoint

Create, list, or delete API endpoint definitions. Each endpoint has a method, path, status code, and response body reference.

MOCK_METHOD=GET MOCK_PATH="/api/users" MOCK_STATUS=200 MOCK_RESPONSE_ID=resp_abc bash scripts/script.sh endpoint

response

Define a response body template. Supports static JSON and dynamic field placeholders for mock data generation.

MOCK_BODY='{"id":"{{uuid}}","name":"{{name}}","email":"{{email}}"}' MOCK_NAME="user-response" bash scripts/script.sh response

record

Record an HTTP interaction (request + response) for later replay. Stores method, URL, headers, and response.

MOCK_URL="https://api.example.com/users" MOCK_METHOD=GET bash scripts/script.sh record

replay

Replay a previously recorded HTTP interaction by its record ID.

MOCK_RECORD_ID=rec_123 bash scripts/script.sh replay

schema

Define or validate a JSON schema for mock data. Used to generate type-safe mock responses.

MOCK_SCHEMA_NAME="User" MOCK_SCHEMA='{"type":"object","properties":{"id":{"type":"string"},"name":{"type":"string"}}}' bash scripts/script.sh schema

seed

Generate seed data from a schema. Produces N records of realistic fake data matching the schema definition.

MOCK_SCHEMA_ID=sch_123 MOCK_COUNT=10 bash scripts/script.sh seed

list

List all stored items (endpoints, responses, schemas, seeds, recordings) with optional type filtering.

MOCK_TYPE=endpoint bash scripts/script.sh list

export

Export all mock data or a filtered subset to a JSON file for sharing or backup.

MOCK_OUTPUT=/tmp/mock-export.json MOCK_TYPE=all bash scripts/script.sh export

config

View or update configuration settings (default port, data directory, response delay, CORS settings).

MOCK_KEY=port MOCK_VALUE=3000 bash scripts/script.sh config

help

Show usage information and available commands.

bash scripts/script.sh help

version

Display the current version of the mock skill.

bash scripts/script.sh version

Examples

# Create a response template
MOCK_BODY='{"users":[{"id":1,"name":"Alice"}]}' MOCK_NAME="users-list" bash scripts/script.sh response

# Create an endpoint using that response
MOCK_METHOD=GET MOCK_PATH="/api/users" MOCK_STATUS=200 MOCK_RESPONSE_ID=<id> bash scripts/script.sh endpoint

# Generate 50 seed records from a schema
MOCK_SCHEMA_ID=<id> MOCK_COUNT=50 bash scripts/script.sh seed

# Export everything
MOCK_OUTPUT=./backup.json bash scripts/script.sh export

Notes

• The mock server is a lightweight Python HTTP server — not intended for production use.
• All data persists across sessions in JSONL format.
• Use list with MOCK_TYPE to filter by record type.
• The seed command generates deterministic data when given the same schema and count.

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