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shannonlal

Postman MCP Server

by shannonlal

Postman MCP Server

An MCP (Model Context Protocol) server that enables running Postman collections using Newman. This server allows LLMs to execute API tests and get detailed results through a standardized interface.

MCP Postman Server Demo

Features

  • Run Postman collections using Newman

  • Support for environment files

  • Support for global variables

  • Detailed test results including:

    • Overall success/failure status

    • Test summary (total, passed, failed)

    • Detailed failure information

    • Execution timings

Related MCP server: Postman MCP Server

Installation

Installing via Smithery

To install Postman Runner for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install mcp-postman --client claude

Manual Installation

# Clone the repository
git clone <repository-url>
cd mcp-postman

# Install dependencies
pnpm install

# Build the project
pnpm build

Usage

Configuration

Add the server to your Claude desktop configuration file at ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "postman-runner": {
      "command": "node",
      "args": ["/absolute/path/to/mcp-postman/build/index.js"]
    }
  }
}

Available Tools

run-collection

Runs a Postman collection and returns the test results.

Parameters:

  • collection (required): Path or URL to the Postman collection

  • environment (optional): Path or URL to environment file

  • globals (optional): Path or URL to globals file

  • iterationCount (optional): Number of iterations to run

Example Response:

{
  "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
  }
}

Example Usage in Claude

You can use the server in Claude by asking it to run a Postman collection:

"Run the Postman collection at /path/to/collection.json and tell me if all tests passed"

Claude will:

  1. Use the run-collection tool

  2. Analyze the test results

  3. Provide a human-friendly summary of the execution

Development

Project Structure

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

Running Tests

# Run tests
pnpm test

# Run tests with coverage
pnpm test:coverage

Building

# Build the project
pnpm build

# Clean build artifacts
pnpm clean

Contributing

  1. Fork the repository

  2. Create your feature branch (git checkout -b feature/amazing-feature)

  3. Commit your changes (git commit -m 'Add some amazing feature')

  4. Push to the branch (git push origin feature/amazing-feature)

  5. Open a Pull Request

License

ISC

Available Tools

1 tool
run-collectionC

Run a Postman Collection using Newman

ParametersJSON Schema
NameRequiredDescriptionDefault
collectionYesPath or URL to the Postman collection
environmentNoOptional path or URL to environment file
globalsNoOptional path or URL to globals file
iterationCountNoOptional number of iterations to run

TDQS

C2.9/5.0
Behavior2/5

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.

Conciseness5/5

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.

Completeness2/5

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.

Parameters3/5

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.

Purpose4/5

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.

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 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.

TDQS

B3.1/5.0
Disambiguation5/5

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.

Naming Consistency5/5

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.

Tool Count2/5

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.

Completeness2/5

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.

Maintenance

ActivityInactive
ResponsivenessUnresponsive

Resources

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