MCP/Postman Full
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Postman Full

Verified Golden (1000+ GitHub stars)

Connects AI assistants to Postman to manage API collections, workspaces, and environments through natural language commands.

developer-tools•Testing & Automation
GitHub2.9k
License:Apache-2.0
OFFICIAL

About this Server

Connects AI assistants to Postman to manage API collections, workspaces, and environments through natural language commands. Automates API development workflows, generates client SDK code from API specifications, updates documentation, evaluates live endpoints, and synchronizes environment variables seamlessly across development teams.

Real-time Interaction

Direct low-latency RPC protocol communication with structured JSON schemas.

Scoped Sandboxing

Restricted capability bounds to prevent accidental modifications or leakage.

Security & Best Practices

Postman API Key Guard: Store POSTMAN_API_KEY securely and avoid committing authentication headers or access tokens to source control.
Environment Secret Masking: Sensitive values stored in Postman secret-type environment variables are masked and never logged in prompt traces.
Scoped Workspace Access: Limit AI agent permissions to designated staging or sandbox Postman workspaces rather than production critical environments.
Transport Encryption: All collection synchronization and API testing traffic is encrypted in transit using standard HTTPS and TLS 1.3.

When to Use (and When Not To)

Best For
  • •API developers automating Postman workflows and endpoint definitions
  • •Teams collaborating on API documentation, mock servers, and shared environments
  • •Developers generating client SDK code from OpenAPI or Postman collections
  • •DevOps and QA engineers automating API testing pipelines and regression suites
Not For / Limitations
  • •Direct database table queries or schema migrations (use Supabase, Neon, or PostgreSQL MCP instead)
  • •Browser DOM and visual UI end-to-end testing (use Playwright or Browser MCP instead)
  • •Offline local development without internet connectivity to the hosted Postman endpoint

Install & Setup

terminal command
$claude mcp add postman_mcp_server --transport http https://mcp.postman.com/mcp

Exposed Tools & Endpoints

8 tools

Functions your AI agent can invoke via this Model Context Protocol server

manage_collections

Create, update, fork, and manage Postman API collections, folders, and request definitions.

manage_workspaces

Browse, inspect, and switch active Postman team, partner, and personal workspaces.

manage_environments

Inspect, update, and persist environment variables and global values across development, staging, and production.

run_collection_tests

Trigger automated API testing runs for Postman collections and validate HTTP status codes, schemas, and response assertions.

generate_client_code

Generate idiomatic API client code and SDK snippets in TypeScript, Python, Go, Java, and cURL from collection endpoints.

sync_api_specifications

Import, export, and synchronize OpenAPI 3.0, Swagger, and Postman API specifications.

update_api_documentation

Generate, format, and publish automated interactive documentation for API endpoints and schemas.

evaluate_endpoint

Send live test requests to endpoints with parameterized headers, query parameters, auth tokens, and payload inspection.