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generating-smoke-tests

Generate and execute Python smoke tests for MCP server tools.

1|Updated Feb 13, 2026
Search Tags:#testing#mcp#data validation#api integration#smoke test#release verification
One-click install
npx skills add https://github.com/sprine/ontario-data-mcp --skill generating-smoke-tests
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: generating-smoke-tests
Source: https://github.com/sprine/ontario-data-mcp/tree/main/.claude/skills/generating-smoke-tests
Command: npx skills add https://github.com/sprine/ontario-data-mcp --skill generating-smoke-tests

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill ensures the MCP server's tools are functioning correctly against live data APIs, preventing release blockers and validating critical integrations.

Core Features & Use Cases

  • End-to-End Testing: Executes a chain of MCP tools against real data portals (Ontario, Toronto, Ottawa).
  • Release Verification: Use before releases to confirm toolchain integrity and API connectivity.
  • Refactoring Validation: After code changes, run this to ensure no regressions were introduced.

Quick Start

Generate and run a Python smoke-test script against the live MCP server.

Frequently Asked Questions about generating-smoke-tests

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run smoke tests to verify MCP server connectivity and tool functionality?▼

Smoke testing validates end-to-end MCP server connectivity by executing a Python script against live data APIs. It dynamically discovers datasets, downloads resources, and asserts successful outcomes for search, get, download, and query operations.

What is the best way to prevent release blockers when integrating data portal APIs?▼

Executing live smoke tests prevents release blockers by verifying toolchain integrity and API connectivity against real data portals. It validates search, get, download, and query operations to ensure critical integrations function correctly.

How do I validate API integrations after refactoring my MCP server code?▼

Run smoke tests after code changes to validate API integrations and ensure no regressions were introduced. The generated Python script executes a chain of MCP tools against live data portals to confirm end-to-end functionality.

Does MCP smoke testing work with multiple data portals like Ontario, Toronto, and Ottawa?▼

Yes, MCP smoke testing executes a chain of tools against live data portals including Ontario, Toronto, and Ottawa. It dynamically discovers datasets and queries cached data to verify end-to-end connectivity across these portals.

What operations does an MCP server smoke test cover?▼

An MCP server smoke test covers search, get, download, and query operations. It dynamically discovers datasets, downloads resources, queries cached data, and asserts successful outcomes to verify tool functionality end-to-end.

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