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mcp-function-app-tester

by dkmaker

MCP 関数アプリテスター

ライセンス: MIT

Cline を介して Azure Function App のテストを可能にする TypeScript ベースの MCP サーバーです。このツールを使用すると、開発環境から直接 Function App エンドポイントをテストし、操作することができます。

インストール

npm install dkmaker-mcp-function-app-tester

Related MCP server: MySQL Server MCP Server

特徴

  • さまざまな HTTP メソッドを使用して Function App エンドポイントをテストする

  • GET、POST、PUT、DELETEリクエストのサポート

  • 詳細な回答情報

  • カスタムヘッダーのサポート

  • POST/PUTメソッドのリクエストボディの処理

  • 認証サポート:

    • 基本認証(ユーザー名/パスワード)

    • ベアラートークン認証

    • APIキー認証(カスタムヘッダー)

認証

サーバーは、環境変数を介して構成できる 2 つの認証方法をサポートしています。

基本認証

両方の環境変数を設定して、基本認証を有効にします。

AUTH_BASIC_USERNAME=your-username
AUTH_BASIC_PASSWORD=your-password

無記名トークン

ベアラートークン認証を有効にするには、この環境変数を設定します。

AUTH_BEARER=your-token

APIキー

API キー認証を有効にするには、両方の環境変数を設定します。

AUTH_APIKEY_HEADER_NAME=X-API-Key  # The header name to use (e.g., X-API-Key, api-key, etc.)
AUTH_APIKEY_VALUE=your-api-key     # The actual API key value

注: 認証の優先順位:

  1. 基本認証(ユーザー名とパスワードが設定されている場合)

  2. ベアラートークン(トークンが設定されていて、Basic 認証が設定されていない場合)

  3. API キー (ヘッダー名と値が設定されていて、他の認証が設定されていない場合)

使用法

インストールが完了すると、Cline 経由で Function App Tester を使用できるようになります。サーバーは、ベース URL ( http://localhost:7071/apiでエンドポイントをテストするためのツールを提供します。

使用例:

// Test a GET endpoint
{
  "method": "GET",
  "endpoint": "/users"
}

// Test a POST endpoint with body
{
  "method": "POST",
  "endpoint": "/users",
  "body": {
    "name": "John Doe",
    "email": "john@example.com"
  }
}

// Test with custom headers
{
  "method": "GET",
  "endpoint": "/secure/data",
  "headers": {
    "Authorization": "Bearer token123"
  }
}

発達

  1. リポジトリをクローンします。

git clone https://github.com/dkmaker/mcp-function-app-tester.git
cd mcp-function-app-tester
  1. 依存関係をインストールします:

npm install
  1. プロジェクトをビルドします。

npm run build

自動リビルドを使用した開発の場合:

npm run watch

ライセンス

このプロジェクトは MIT ライセンスに基づいてライセンスされています - 詳細についてはLICENSEファイルを参照してください。

Available Tools

1 tool
test_endpointC

Test a Function App endpoint and get detailed response information. The endpoint will be prepended to the base url which is: http://localhost:7071/api

ParametersJSON Schema
NameRequiredDescriptionDefault
bodyNoOptional request body for POST/PUT requests
endpointYesEndpoint path (e.g. "/users"). Will be appended to base URL.
headersNoOptional request headers
methodYesHTTP method to use

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It mentions testing an endpoint and getting 'detailed response information,' but lacks critical behavioral details such as error handling, timeout behavior, authentication requirements, rate limits, or what 'detailed' entails. This is insufficient for a tool that performs HTTP operations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and front-loaded, consisting of two sentences that directly state the tool's purpose and base URL. There is no wasted text, though it could be slightly more informative without sacrificing brevity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of HTTP testing (4 parameters, no output schema, no annotations), the description is incomplete. It lacks details on response format, error cases, or behavioral traits, leaving significant gaps for an agent to understand how to use the tool effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema fully documents all parameters. The description adds minimal value by noting the base URL context ('http://localhost:7071/api'), but does not provide additional semantics beyond what the schema already covers. This meets the baseline for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Test a Function App endpoint and get detailed response information.' It specifies the verb ('test') and resource ('Function App endpoint'), and mentions the base URL context. However, with no sibling tools, it cannot differentiate from alternatives, so it doesn't reach the highest score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives, prerequisites, or constraints. It only states what the tool does without context for its application, leaving the agent without usage direction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool updatev1.0.0
    • First observedtest_endpoint

TDQS

B3/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool has a clear, distinct purpose that cannot be confused with any other tool in this set.

Naming Consistency5/5

The naming follows a consistent verb_noun pattern (test_endpoint). With only one tool, there is no inconsistency to evaluate, and the naming is clear and appropriate for its function.

Tool Count2/5

A single tool is too few for a server named 'mcp-function-app-tester', which suggests broader testing capabilities. This minimal set feels thin and incomplete for the implied scope of testing Function App endpoints comprehensively.

Completeness1/5

The tool surface is severely incomplete for testing Function App endpoints. It only provides a basic test endpoint function, lacking essential operations like listing endpoints, managing test configurations, validating responses, or handling different HTTP methods and authentication scenarios.

Maintenance

ActivityInactive
ResponsivenessNo issues

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