What is ai-testcase-generator-mcp copilot-instructions.md?

Instructions for an MCP server that creates API test plans in Excel files. An API is an interface that lets software communicate with another system, and MCP is a standard way for an AI agent to use tools.

Use it to generate positive, negative, and edge-case tests from an API endpoint, HTTP method, optional request data, and extra context.

It explains how to install, build, run, inspect, and use the server, so developers know which inputs it accepts and where the generated file goes.

How Mallikarjun-Roddannavar/ai-testcase-generator-mcp configures GitHu

Reuse

Borrowing it

Nothing to install: this file belongs to Mallikarjun-Roddannavar/ai-testcase-generator-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/Mallikarjun-Roddannavar/ai-testcase-generator-mcp/main/.github/copilot-instructions.md

Clone the repo

git clone --depth 1 https://github.com/Mallikarjun-Roddannavar/ai-testcase-generator-mcp

Made for: GitHub Copilot.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/mallikarjun-roddannavar/ai-testcase-generator-mcp/copilot-instructions/github.svg)](https://agentmods.dev/instructions/mallikarjun-roddannavar/ai-testcase-generator-mcp/copilot-instructions)

Your own site

<a href="https://agentmods.dev/instructions/mallikarjun-roddannavar/ai-testcase-generator-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/mallikarjun-roddannavar/ai-testcase-generator-mcp/copilot-instructions/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/mallikarjun-roddannavar/ai-testcase-generator-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/mallikarjun-roddannavar/ai-testcase-generator-mcp/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 629 This file is loaded in full into every session.

When invoked 629 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00629	$0.00629
Opus 5	$0.00315	$0.00315
Sonnet 5	$0.00126	$0.00126
Haiku 4.5	$0.00063	$0.00063

Measured 10d ago against content hash 03658c89d9de, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

ai-testcase-generator-mcp copilot-instructions.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

testcase-generator-mcp-starter-qc copilot-instructions.md — 100% identical, 0 lines differ

.github/copilot-instructions.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Copilot Instructions for Comprehensive TestCase MCP

Project Overview

This codebase implements a Model Context Protocol (MCP) server for generating comprehensive API test plans (positive, negative, and edge cases) from endpoint metadata. The server is written in TypeScript and exposes a single tool: generate_tests_excel.

Architecture & Key Components

src/index.ts: Main MCP server entry point. Handles tool registration, LLM prompt construction, and Excel file generation. generation and Excel export.
build/: Compiled JavaScript output. Do not edit directly.

Developer Workflows

Install dependencies:
```
npm install
```
Build the server:
```
npm run build
```
Run the MCP server:
```
node build/index.js
```
Development with auto-rebuild:
```
npm run watch
```
Debugging: Use npm run inspector to launch the MCP Inspector for stdio debugging.

Tooling & Usage

The only exposed tool is generate_tests_excel (see src/index.ts).
- Required params: endpoint (string), method (string)
- Optional: payload (object), extraContext (string)
Tool output is an Excel file in /generated.
The LLM prompt is carefully engineered for test case structure and boundary coverage (see src/index.ts and src/generate_tests/generateTest_llm.ts).

Project Conventions & Patterns

Environment variables (see .env):
- MODEL_API_KEY (required)
- MODEL_API_URL, MODEL_NAME, MODEL_TEMPERATURE, MODEL_MAX_TOKENS, OUTPUT_DIR (optional)
TypeScript strict mode is enforced (see tsconfig.json).
No direct editing of build/: Always edit TypeScript sources in src/.
Excel output: All test plans are written as .xlsx files using the xlsx library.
MCP config: For Claude Desktop or other clients, see cline_mcp_settings.json for server registration.

Integration Points

LLM API: Uses Groq's OpenAI-compatible API (see MODEL_API_URL).
MCP protocol: Communicates over stdio (see src/index.ts).
Inspector: For debugging MCP protocol, use the Inspector script.

Read the full file on GitHub · 67 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

10d ago First seen · 67 lines · 629 tokens per session scan A 03658c89d9de

Subscribe to this mod's changes

ai-testcase-generator-mcp copilot-instructions.md is an instructions file published in the GitHub repository Mallikarjun-Roddannavar/ai-testcase-generator-mcp (16 stars, last pushed 14d ago), licensed MIT. It adds 629 tokens to every session, about $0.0031 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

LLM Testing ai api-testing mcp mcp-server nodejs

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ai-testcase-generator-mcp: Instructions file for GitHub Copilot