"LibreOffice office suite software" matching MCP servers:

Provides 28 MCP tools across 16 analysis engines for comprehensive Python code quality assessment, including complexity scoring, security scanning, dead code detection, dependency auditing, and test quality analysis.

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 coding agents to load NASA-derived software-engineering rules before implementation, dynamically expand them as scope changes, and enforce an evidence-based final review gate.

Modular testing and automation MCP servers for Android devices, desktop browsers, canvas games, and visual regression.

Enables reproducible evaluation of AI coding agents by exposing repository inspection, code editing, test running, and deterministic verification through MCP tools.

Enables AI assistants to interact with iOS Simulators and Android Emulators, allowing autonomous app development, UI interaction, profiling, and debugging through natural language.

Read, write, analyze and test the VBA inside Excel, Word, PowerPoint and Access files, and edit the document around it. The file layer needs no Office installation and runs anywhere; running macros and tests needs Windows with Office.

Enables ethical security testing and attack surface management through SSL certificate validation, CVE queries, subdomain enumeration, security header analysis, and comprehensive reconnaissance capabilities. Designed for authorized penetration testing workflows with responsible disclosure practices.

Gives your AI the super power of traveling back in time to find what went wrong and fix the bug timeline.

Enables AI assistants to analyze Java and Web projects, automatically generate unit tests (JUnit) and end-to-end tests (Selenium), and execute them directly through Maven or NPM commands.

Enables AI coding assistants to scan an iOS, Android, Flutter, React Native or Expo project for App Store and Google Play rejection risks, returning deterministic findings that cite the guideline section, link to the official Apple or Google page and explain how to fix each problem. Nothing leaves the machine and no AI is used in the checks.

Lets any MCP client, such as Claude, browse attack suites and probes, run a full assurance assessment with all reports written out, send custom prompts or multi-turn histories and get leak, PII and refusal checks back for adaptive attacks, and read findings from an earlier assessment. This enables agent-driven red-teaming of a chatbot, RAG app or AI agent without leaving the chat client.

Audits a module against its test suite and reports the cases the tests are structurally unable to see, then proves each gap with a real failing test rather than a warning. Covers Python, TypeScript, JavaScript, Java, Rust and Go.

Provides an isolated workspace for testing candidate code, runs tests, and returns deterministic pass/fail verdicts. Enables automated grading of software engineering solutions by ensuring reproducible test runs.

Enables AI agents to perform software engineering tasks inside an isolated, deterministic sandbox—exploring repositories, reproducing failures, applying patches, running tests, and verifying solutions against hidden suites through MCP tools.

An intelligent MCP toolset for software testers that monitors code changes, analyzes test impact, recommends tests, and assesses risk, supporting multiple AI coding frameworks via dual transport modes.

This MCP server gives AI coding agents structured, scoped access to GitHub issues, a codebase, its docs, and its test suite, enabling issue triage, code search, test execution, and failure analysis in one workflow. It provides deterministic tools for fetching and analyzing issues, searching code, reading documentation, running tests, and summarizing failures.

Wraps testgen's test-suite generation as an MCP tool, enabling AI assistants to generate test suites from requirements via a local HTTP endpoint.

Enables AI agents to enforce a software delivery standard by validating artifacts against declarative rules, providing templates, glossary terms, and pass/fail verdicts with actionable blockers.

Performs vulnerability scans using Trivy to generate Software Bill of Materials (SBOM) in CycloneDX format. It enables automated security auditing and dependency tracking through the Model Context Protocol.