"World Health Organization" matching MCP servers:

Enables AI agents to hire real human operators for tasks requiring physical presence, human perception, or judgment, such as verification, testing, data collection, and physical-world tasks.

Enables AI agents to hire verified human operators for tasks requiring physical presence, human perception, or judgment, such as real-world verification, product testing, and data collection.

Connects AI coding assistants to Gaffer test history and coverage data to analyze project health, debug failures, and identify untested code areas. It enables tools to track test stability, cluster failures by root cause, and monitor code coverage trends across projects.

MCP server for technical SEO audits, powered by the detail.web engine. Run a site audit straight from your AI agent to get a health score, issues across 8 categories, and a GEO sub-score.

Provides coding agents with visibility into test health through tools for flaky test detection, test quality linting, and LLM evaluation harness, enabling them to triage failures, review test quality, and check prompt changes for regressions.

An MCP server that gives AI assistants the ability to check open-source packages for vulnerabilities, enrich findings with real-world exploit intelligence, and statically analyse whether vulnerable code is actually reachable in your project.

Scores npm packages, PyPI packages and GitHub repositories 0-100 with an A-F grade and plain-language risks. Scans package.json, requirements.txt and lock files; no API key needed.

An MCP server that gives AI coding agents the ability to analyze a Python repository's test health: coverage, flaky tests, and ML-based pull-request risk prediction.

Checks MCP servers by URL, npm package, or official MCP Registry search, reporting availability, response speed, exposed tools, resources, and prompts. It flags changes since prior runs as breaking, warning, or info using saved snapshots.

Enables MCP clients to crawl and audit websites for SEO and technical health, checking on-page elements, links, robots.txt, sitemaps, and duplicate metadata, then returning scores and prioritized fixes.

Enables users to check HTTP status codes, find broken same-origin links, review SEO basics, and inspect common security headers with polite, permission-based crawling from any MCP client.

Turns JUnit XML test reports from CI into queryable QA metrics, letting AI assistants answer plain-English questions about failures, flaky tests, regressions pinned to a commit, root-cause clusters, and performance drift. Also generates ready-to-share QA health reports and self-contained HTML dashboards without logging into separate tools.

Programmatic email deliverability testing for AI agents. Create inbox placement tests across Gmail, Outlook, Yahoo, Mail.ru, Yandex — get per-provider placement (Inbox/Spam/Promotions), SPF/DKIM/DMARC auth, Rspamd & SpamAssassin verdicts, DNS health (MX, PTR, DNSBL), and live SSE results.

A local MCP server that connects Claude Desktop, Claude Code, and Claude Chat to your Azure DevOps organization, enabling querying work items, reviewing pull requests, triggering pipelines, searching code, managing test plans, and updating wikis using plain language.

IFC/BIM toolkit with a free browser 3D viewer: validate IFC with a 0–100 Health Score, check buildingSMART IDS 1.0, read DXF drawings, and open models, floor plans, 3D sketches and live digital twins in 3D. Validation runs locally and files are not uploaded.

Analyzes websites for broken links, missing meta tags, and redirect chains, returning a health score and actionable suggestions.

A minimal MCP server built with the official Python SDK that runs over stdio and exposes a health capability, providing a practical integration-testing target for AI and agent codebases.

Enables an MCP client to generate synthetic Workday test data by searching for a template worker, cloning their job and organization context, and creating a fresh fake identity. It exposes separate tools for search, template lookup, identity generation, and a human-approved Workday Hire_Employee submission against a local mock tenant.

Enables validating IFC models against IDS requirements with coverage reporting, auditing LOD by project stage, and extracting quantity take-offs, including combined audit summaries and full BIM health checks. It exposes these capabilities as MCP tools for Claude Desktop, producing Excel, HTML, and BCF reports.

Enables AI agents to call real API endpoints and verify responses against OpenAPI specs, supporting contract testing, auth presets, spec diffing, and health checks.

A deterministic, network-free MCP server for validating repository release hygiene and version alignment in local projects. It enables automated repository health checks and generates standardized release checklists based on project state.

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.

MCP server for measuring, tracking, scoring, and improving AI agent reliability with tools for recording interactions, scoring reliability, analyzing failures, recommending improvements, generating audit reports, and checking MCP health.

This server performs a comprehensive analysis of a website by fetching its HTML and scoring it across five categories: performance, SEO, design, functionality, and technology. It enables users to identify technical strengths and weaknesses in a webpage's structure and health.

Enables AI agents to query Google Play crash and ANR health per app release and receive expand, hold, or halt recommendations for staged rollouts based on configurable thresholds.

Provides comprehensive website validation across performance, accessibility, SEO, and security dimensions using multiple testing services including WebPageTest, Google PageSpeed Insights, Axe DevTools, Mozilla Observatory, and SSL Labs. Enables automated website health assessments through browser automation and API integrations.

Enables AI agents to control Android devices and emulators through direct UI interaction, allowing app navigation, automated testing, and real-world task execution via ADB without computer vision or scripts.

Enables scanning text for policy and safety issues, generating test suite outlines, and checking the configuration/health of the evaluation setup.

Enables input/output policy validation via MCP, including scanning text for policy and safety issues, generating test suite outlines, and checking configuration health.

MCP server that enables an agent to autonomously build, compile-check, test, and debug DayZ mods, integrating with the running game via a server bridge and providing structured verdicts, world manipulation, client control, and API knowledge indexing.