Provides a framework for running multiple MCP servers using FastAPI, stdio, and streamable-http transports, with an echo tool for testing and integration with MCP Inspector.
Maps Electron app IPC handlers to MCP tools and provides 33 built-in CDP tools for DOM automation, screenshots, interaction, and debugging, enabling Claude Code to directly control your Electron app.
Accessibility-first LaTeX publishing engine with an embedded MCP server.
Tools to list registered documents, render template-driven documents,
and audit built PDFs for PDF/UA-2 / WTPDF / PDF/A-4f conformance with
veraPDF. MIT-licensed.
Behavioral verification intelligence for AI coding agents. Reads a TypeScript or JavaScript repo, clusters functions into 25 semantic workflows (Authentication, Payments, Webhooks, Caching, Queue, and more), and emits concrete adversarial probes per workflow. 17 MCP tools, local SQLite state, zero cloud.
Enables LLM agents to programmatically inspect, debug, and test other MCP servers by wrapping the MCP Inspector CLI. Supports listing and calling tools, reading resources, and testing prompts on both local and remote MCP servers.
An MCP server that enables AI assistants to discover and execute Nox sessions for project automation tasks like testing, linting, and building. It provides tools to list available sessions and run them using specific Python versions, tags, or keyword expressions.
Fact-checks and fixes AI outputs by catching hallucinations, repairing broken JSON, and correcting errors before they reach users, with tools for verification, validation, and correction.
Website testing MCP server built for AI agents: 63 Playwright tools with hard assertions, auto form-fill, persistent authenticated sessions, network mocking, and accessibility/SEO/GEO + Lighthouse audits.
An MCP server that automatically discovers API endpoints from any codebase, generates and runs tests, and produces per-role QA audit reports in PDF and XLSX.
Enables remote control of LeCroy oscilloscopes via SCPI commands over LAN to perform waveform capture, screenshots, measurements, channel configuration, and triggering through natural language. Supports multiple LeCroy models including WaveSurfer, HDO, WaveRunner, and WavePro series with automatic model detection.
Semantix-Verify is an MCP server for semantic validation of AI/LLM outputs. It exposes a single tool, verify_text_intent(text, intent_description, threshold), which uses
a local quantized NLI cross-encoder (INT8 ONNX) to return a 0.0–1.0 probability that the text satisfies the given intent — and, when it doesn't, a structured correction
prompt for agent retry loops. Useful for building com
Multi-engine container and system vulnerability scanning for AI agents. Wraps Trivy and Grype with cross-engine validation, SBOM generation, and IaC misconfiguration scanning.
QA Sphere MCP server that enables Large Language Models to interact directly with test management system test cases, supporting AI-powered development workflows and test case discovery.
Enables AI assistants to interact with Coval's evaluation platform for launching and monitoring evaluation runs, managing agents and test sets, and retrieving evaluation metrics.
AI-powered characterization test generator that reads Python functions or class methods, synthesizes inputs, captures behavior in a sandbox, and emits pytest files to lock legacy code behavior for safe refactoring.
A local MCP server that packages LLM evaluation gates as reusable CI/CD primitives, enabling AI agents to run datasets against models, score responses, and enforce quality thresholds.
Generates intelligent Playwright locators with reliability rankings, creates Page Object Models, and runs test automation scripts directly from your IDE or AI assistant.
Enables blind AI coding models to debug visual bugs by capturing screenshots, analyzing them with a vision-capable model, and returning a written report.