"Finding Ohad Zafrir's LinkedIn Profile" matching MCP servers:

Exposes Semgrep as deterministic, rule-matching analysis tools over MCP so a code-review agent can scan only the lines changed in a diff, scan whole files on demand, and check analyzer availability, version, ruleset, and limits. Results are returned as compact per-finding lines with source snippets suitable as comment anchors, along with counts of suppressed out-of-diff matches.

Enables AI assistants to interact with TrafficMorph for load-testing and CI-failure triage, including run management, profile lifecycle, and domain verification through natural language.

Enables editorial content QA over the Model Context Protocol with four local tools that analyze readability, AI-sounding language, SEO on-page factors, and produce full reports where every finding includes an actionable fix.

An MCP server that provides a readiness gateway for ISO 20022 payments, offering readiness checks, automated remediation, clearing-profile linting, and bank-response simulation through a single orchestration interface.

Enables comprehensive WCAG 2.0/2.1 accessibility testing of web applications using Playwright and axe-core. Supports natural language element finding, auto-discovery of interactive components, and generates detailed compliance reports with screenshots.

Enables AI assistants to inspect, debug, and test web pages using Playwright. Provides comprehensive DOM inspection, visibility debugging, layout validation, and element finding capabilities in real browser environments.

Enables AI assistants to query the Google Play Developer Reporting API for Android production stability data, including crash and ANR issue clusters, de-obfuscated stack traces, release track discovery, startup and crash metric trends, version-to-version comparisons, and anomaly alerts. It also provides guided prompts for incident triage, baseline profile verification, and weekly stability reporting with built-in token compression and caching.

Enables read-only exploration of SonarQube projects, explaining why a quality gate is red and searching unresolved issues, reading metrics and source snippets around a finding. All six tools are idempotent and leave the SonarQube instance untouched.

Enables AI coding assistants to run pre-publish security and code-quality scans across 17 categories, generate a 0–100 security score and Markdown report, quickly check critical vulnerabilities, and receive fix/refactor suggestions by finding ID.

Enables AI agents to debug STM32 firmware on real hardware by driving GDB with OpenOCD/ST-Link/J-Link to flash, set breakpoints, inspect memory, registers and RTOS state, triage HardFaults, and profile. Returns decoded, structured evidence and suggested next actions instead of raw GDB text, with composite tools that collapse multi-step debug loops into single calls.

Enables Claude to create and upload test cases directly into TestRail by finding the right section, checking required fields, and creating cases with steps, expected results, references, custom fields, and optional images from chat or a case-pack JSON file.

Enables live Lua evaluation and introspection in Dragon's Dogma 2 through REFramework, along with mod deployment, save/scenario management, and Vortex profile switching for testing.

It enables AI agents and CI to run profile-driven SOAP/REST service tests with automatic login/session handling, test-customer locking, masked transaction-log/HAR catalog import, and cross-environment scenario execution.

AI-powered bug bounty hunting platform that integrates security tools (OWASP ZAP, Caido, Burp Suite) for automated reconnaissance, vulnerability testing, JavaScript analysis, and finding management with PostgreSQL storage.

Enables AI agents and CI systems to run deterministic website QA audits over MCP, with every finding backed by evidence and every result hashed and signed. It checks HTTP, TLS, security headers, SEO, links, accessibility, and robots.txt, with configurable pass/fail verdicts.

Enables AI to perform real-browser QA testing on websites via Playwright, finding bugs, accessibility, SEO, and performance issues through natural language conversations.

Provides unified development tools including code analysis, debugging, refactoring, documentation, testing, and project automation through multiple LLM providers (KIMI, GLM, OpenRouter). Features agentic audit capabilities with multi-model consensus for finding issues and generating direct fixes.

Gives AI agents a private, locally-run Chrome-for-Testing browser they drive directly, letting them fetch WAF-protected pages, capture network and screenshot evidence, harvest e-commerce catalogs, and run performance, accessibility, SEO, and cross-engine QA inspections through standard MCP tools. It also provides click-flow smoke tests, visual baselines, page comparison, and diagnostics, all without a cloud relay or the user's personal Chrome profile.

Enables coding agents to audit public or localhost pages, gather structured SEO evidence, and retrieve compact reports, finding details, and next actions for triage.

Enables AI agents to audit a web page in one call — title, meta description, canonical, robots, Open Graph, headings, JSON-LD, security headers and page delivery — returning each finding with its evidence and a ready patch to apply. It also compares a deploy preview against production to surface only regressions, keeps audited pages in tabs with history and daily watches, and runs Lighthouse lab tests via PageSpeed Insights.