"A server to import Postman collections and get all features without Postman dependency" matching MCP servers:

An MCP server that enables running Postman collections using Newman, allowing LLMs to execute API tests and get detailed results through a standardized interface.

Run the requests in a Postman collection folder and get structured, assertion-level results back straight from your AI assistant.

mcp-PostmanV3

Enables querying projects, fetching findings, triggering analysis, uploading CycloneDX BOMs, and checking async token status for OWASP Dependency-Track.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables security scanning for npm dependencies by checking manifest and lockfiles against the OSV.dev and Socket.dev vulnerability databases. It provides tools to detect vulnerabilities in specific packages and retrieve detailed technical reports for identified security issues.

Provides a hand-written MCP server integrated with a LangGraph agent to benchmark multiple agent topologies and measure their failure rates.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

Automates the conversion of Figma designs into TypeScript React components and integrates with GitHub to create pull requests for the generated code. It includes visual regression testing with Playwright and accessibility validation to ensure implementations match the original designs.

MCP-first A/B testing server that enables agents to manage experiments (create, update traffic splits, read results, apply winning variants) from tools like Claude Code, with self-hosted Cloudflare backend.

Enables uploading and managing Postman collections, environments, and data files for API testing. Integrates with AI hosts via Model Context Protocol for test execution and result management.

Provides a testable gateway path for running a local MCP-style server in hosted-like conditions, with tenant-isolated reads, approval-denied writes, deterministic failures, and smoke-test verification.

Zero-dependency MCP server and CLI that proxies, inspects, and analyzes JSON-RPC message streams between MCP clients and servers.

Enables migration of test automation projects from WebDriverIO to Playwright using AST-based transformations. Provides tools for analyzing tests, converting syntax, refactoring to Page Object Model, and generating migration reports.

MCP security scanner for AI agents - detects prompt injection, secrets, PII, and vets MCP servers before installation

Analyzes API requirements and source code, evaluates existing Postman test coverage, and generates or updates test automation with an optional draft pull request on GitHub.

Model Context Protocol server that enables API test automation across various AI hosts (Claude, OpenAI, custom) using Postman Collections.

Automates downloading mobile game performance data from PerfDog and converts it to Tableau-ready CSV format with device statistics, FPS metrics, and time-series data.

Enables Cursor AI to query SonarQube for pull request metrics, issues, file issues, and duplication reports directly, without manual data export.