Postman MCP Server
Postman MCP サーバー
Newmanを使用してPostmanコレクションを実行できるMCP(Model Context Protocol)サーバー。このサーバーにより、LLMはAPIテストを実行し、標準化されたインターフェースを通じて詳細な結果を取得できます。

特徴
Newmanを使用してPostmanコレクションを実行する
環境ファイルのサポート
グローバル変数のサポート
詳細なテスト結果には以下が含まれます:
全体的な成功/失敗のステータス
テストの概要(合計、合格、不合格)
詳細な障害情報
実行タイミング
Related MCP server: Postman MCP Server
インストール
Smithery経由でインストール
Smithery経由で Claude Desktop 用の Postman Runner を自動的にインストールするには:
npx -y @smithery/cli install mcp-postman --client claude手動インストール
# Clone the repository
git clone <repository-url>
cd mcp-postman
# Install dependencies
pnpm install
# Build the project
pnpm build使用法
構成
~/Library/Application Support/Claude/claude_desktop_config.jsonにある Claude デスクトップ構成ファイルにサーバーを追加します。
{
"mcpServers": {
"postman-runner": {
"command": "node",
"args": ["/absolute/path/to/mcp-postman/build/index.js"]
}
}
}利用可能なツール
ランコレクション
Postman コレクションを実行し、テスト結果を返します。
パラメータ:
collection(必須): PostmanコレクションへのパスまたはURLenvironment(オプション): 環境ファイルへのパスまたはURLglobals(オプション): グローバルファイルへのパスまたはURLiterationCount(オプション): 実行する反復回数
応答例:
{
"success": true,
"summary": {
"total": 5,
"failed": 0,
"passed": 5
},
"failures": [],
"timings": {
"started": "2024-03-14T10:00:00.000Z",
"completed": "2024-03-14T10:00:01.000Z",
"duration": 1000
}
}クロードでの使用例
Claude でサーバーを使用するには、Postman コレクションを実行するように要求します。
「/path/to/collection.json で Postman コレクションを実行し、すべてのテストに合格したかどうかを教えてください」
クロードは次のことを行います:
実行収集ツールを使用する
テスト結果を分析する
人間に分かりやすい実行概要を提供する
発達
プロジェクト構造
src/
├── index.ts # Entry point
├── server/
│ ├── server.ts # MCP Server implementation
│ └── types.ts # Type definitions
└── newman/
└── runner.ts # Newman runner implementation
test/
├── server.test.ts # Server tests
├── newman-runner.test.ts # Runner tests
└── fixtures/ # Test fixtures
└── sample-collection.jsonテストの実行
# Run tests
pnpm test
# Run tests with coverage
pnpm test:coverage建物
# Build the project
pnpm build
# Clean build artifacts
pnpm clean貢献
リポジトリをフォークする
機能ブランチを作成します(
git checkout -b feature/amazing-feature)変更をコミットします (
git commit -m 'Add some amazing feature')ブランチにプッシュする (
git push origin feature/amazing-feature)プルリクエストを開く
ライセンス
ISC
Available Tools
1 toolrun-collectionC
Run a Postman Collection using Newman
| Name | Required | Description | Default |
|---|---|---|---|
| collection | Yes | Path or URL to the Postman collection | |
| environment | No | Optional path or URL to environment file | |
| globals | No | Optional path or URL to globals file | |
| iterationCount | No | Optional number of iterations to run |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure but only states the basic action. It fails to mention critical behavioral traits such as whether this is a read-only or destructive operation, authentication requirements, rate limits, execution time, or what happens during the run (e.g., output format, error handling).
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with zero wasted words. It is appropriately sized and front-loaded, directly stating the tool's purpose without unnecessary elaboration.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of running a Postman collection (which involves execution, potential side effects, and output), the lack of annotations and output schema means the description is incomplete. It does not address what the tool returns, error conditions, or behavioral implications, leaving significant gaps for an AI agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage, clearly documenting all four parameters. The description adds no additional semantic information about parameters beyond what the schema provides, so it meets the baseline of 3 for adequate but not additive value.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Run') and the resource ('a Postman Collection using Newman'), providing a specific verb+resource combination. However, since there are no sibling tools mentioned, it cannot demonstrate differentiation from alternatives, which prevents a perfect score of 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 contextual constraints. It simply states what the tool does without offering any usage instructions or exclusions.
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 tool update
v1.0.0- First observed
run-collection
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined as running a Postman Collection using Newman, leaving no room for misselection.
The single tool name 'run-collection' follows a clear verb-noun pattern, using a hyphen for separation. Since there is only one tool, consistency is inherently perfect with no deviations or mixed conventions.
A single tool is too few for a server named 'Postman MCP Server', which suggests a broader scope related to Postman API testing. This minimal toolset feels thin and underdeveloped, limiting functionality to just running collections without supporting other common Postman operations.
The tool surface is severely incomplete for a Postman-related domain. It only covers running collections, missing obvious gaps such as creating, managing, or listing collections, environments, or variables, which are core to Postman workflows and would cause significant agent failures.
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