"Prop Amp (Proportional Amplifier) Information" matching MCP servers:

Enables AI assistants to access RenderDoc capture data and assist with graphics debugging by retrieving draw calls, shader information, buffers, textures, and pipeline state.

MCP server that generates ISO/IEC/IEEE 29119-3 compliant test plan drafts from project information, providing a structured resource for the standard's test plan outline and a tool for draft creation.

Allows LLM agents to query Playwright JSON test results for run summaries and failure information.

A real security scanning MCP server for medical information systems, supporting port scanning, vulnerability detection, medical system identification, and compliance report generation.

Enables defect management on the SEPP platform, allowing users to query defects, retrieve user project information, and set up automated monitoring with alerts for new or unresolved defects via webhook or email.

Enables AI assistants to analyze and inspect RenderDoc capture files, providing tools to examine draw calls, textures, buffers, and shader information. It allows developers to perform graphics debugging and resource analysis through natural language interactions.

An MCP server that provides elicitation tools to interactively request user input, such as selecting options, providing information, or performing manual tests.

An MCP server for checking OWASP Top 10 vulnerabilities during API development testing. It analyzes API information and returns security assessment results to help developers identify potential security issues.

A testing server that demonstrates Model Context Protocol features, providing access to user data, todos, and system information through resources, tools for user management and calculations, and prompt templates for various analyses.

A frontend security dependency auditing tool that identifies vulnerabilities in local and remote repositories using the Model Context Protocol. It provides detailed audit information like CVSS scores and dependency chains, generating standardized markdown reports.

An MCP server that enables AI assistants to parse Xcode and Swift build outputs into structured, token-efficient formats like JSON or TOON. It provides tools for executing build commands and extracting detailed diagnostic information such as errors, warnings, and test failures.

MCP server for code comprehension indices and test maps. It answers what must be known to change a function and which tests pin its behavior, using compiler type information.

Enables testing of Financial Information eXchange (FIX) protocol sessions directly from Claude, Cursor, VS Code, or ChatGPT conversations, providing free anonymous four-hour sandbox sessions plus authenticated access to live customer instances. Users can provision sessions, inspect raw and parsed message logs, view working orders, act as the exchange with fills, partials, rejects and cancels, and send or cancel orders in either direction.

An MCP server that enables AI assistants to access and manage Cucumber Studio testing platform data, including test scenarios, action words, test runs, and project information.

Enables querying course information, structured skills, and MCP knowledge with Redis caching, plus includes performance load testing capabilities.

Enables Claude to interact with physical iOS devices running Expo development builds via USB or network tunnels. It supports capturing screenshots, streaming system logs, managing applications, and retrieving device information through natural language.

Analyzes Testing Farm jobs, checks job status, and investigates failures with detailed error information.

Integrates with the Zephyr Scale test management tool for Jira to fetch and update test case information, including steps, labels, and priorities. It enables users to manage test cases through natural language interactions within Claude Desktop and other MCP clients.

Enables interaction with MantisBT bug tracking systems through the REST API. Supports issue management, project access, user information, and note creation with type-safe operations.

Enables interaction with the Veracode platform to perform security tasks like running SAST scans, checking SCA vulnerabilities, and retrieving CVE information. It allows AI assistants to manage scan workflows, from zipping source code to analyzing scan results through natural language.