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test-mcp-feature

Validate MCP server features through the MCP Inspector CLI.

Updated Jul 25, 2025
Search Tags:#automation#testing#validation#cli#mcp#test#inspector
One-click install
npx skills add https://github.com/narrative-io/data-collaboration-mcp --skill test-mcp-feature
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: test-mcp-feature
Source: https://github.com/narrative-io/data-collaboration-mcp/tree/main/.claude/skills/test-mcp-feature
Command: npx skills add https://github.com/narrative-io/data-collaboration-mcp --skill test-mcp-feature

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enables developers to validate MCP server features (tool, resource, or prompt) through a headless, CLI-driven testing workflow, ensuring correct response structures, data integrity, and robust error handling.

Core Features & Use Cases

  • Validates MCP server features by exercising their tools, resources, or prompts through the MCP Inspector CLI.
  • Verifies registration, input schemas, and end-to-end testing scenarios to catch integration issues early.

Quick Start

Use the MCP Inspector CLI to verify a feature by invoking its methods and inspecting the JSON output.

Frequently Asked Questions about test-mcp-feature

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

FAQPage Schema
How do I validate MCP server features from the command line?▼

MCP server feature validation uses the MCP Inspector CLI to exercise registered tools, resources, or prompts. It invokes methods headlessly to inspect JSON output and confirm correct response shapes, data integrity, and error handling.

What is headless MCP feature testing and when do I need it?▼

Headless MCP feature testing validates MCP server tools, resources, or prompts without a graphical interface. It is needed to verify registration, input schemas, and response correctness during automated integration workflows.

How do I verify MCP tool registration and input schemas?▼

Verifying MCP tool registration involves using Inspector CLI commands to list registered features and inspect their documented input schemas. This confirms the server exposes the expected tools and parameters for headless validation.

Can I test MCP server error handling with the Inspector CLI?▼

Testing MCP server error handling with the Inspector CLI involves calling tools, resources, or prompts with invalid inputs to inspect the returned errors. This headless validation checks robustness and confirms proper error responses.

What's the best way to automate MCP server validation in a CLI workflow?▼

Automating MCP server validation in a CLI workflow is best done by running MCP Inspector commands to list, call, and inspect features headlessly. This verifies response shapes and data correctness without manual GUI interaction.

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