"World Health Organization" matching MCP servers:

MCP server for the Mamba Labs GitHub Organization Signal Scanner actor on Apify. Resolve a company domain to its GitHub organization with repo, language and activity signals.

A minimal MCP server that provides a single 'hello' tool returning 'Hello, world!'.

Enables AI agents and developers to score npm packages, PyPI packages, and GitHub repositories for maintenance health, producing A–F grades, per-signal details, and plain-language risk lists before adoption. It supports checking individual packages, scanning manifests or lock files for transitive dependencies, and comparing alternatives.

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.

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.

A simple Model Context Protocol server that provides a hello world greeting tool, serving as a boilerplate template for quickly creating new MCP servers.

MCP for deploying BrandKit guardrails to LLMs across your organization.

Provides comprehensive code quality analysis with quantitative metrics, historical trends, and refactoring risk prediction for C#, Python, and TypeScript codebases.

An MCP server that performs comprehensive health checks on project dependencies for JavaScript and Python projects, detecting outdated packages and fetching changelogs.

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.

Scores local git repositories for README substance, license, package description, TypeScript config, tests, and GitHub Actions, providing a numbered hygiene report.

A minimal reference implementation of an MCP server that responds with "Hello, World" via Streamable HTTP. Serves as a baseline for integration testing and MCP client development with production-ready features including health checks, metrics, and containerized deployment.

Enables agents to work on a builder-ide world solely through the core's typed doors, exposing context, vocabulary, recipe versions and diffs, renders, ledger, and dirty-state as MCP resources, plus tools to propose recipe edits, plan intentions, and work orders with every action recorded against its author.

A simple MCP server that provides greeting tools such as hello and greet_multiple to return friendly messages.

Temporal knowledge graph for codebases that captures decision traces, links test failures to code changes, learns co-edit patterns, predicts regression risk, and enforces learned constraints at the edit boundary via a PreToolUse hook.

Monitors and analyzes GitHub repository health by detecting stale branches, old pull requests, unresponsive issues, and security alerts. Integrates with MCP-compatible AI assistants and automation tools.

A minimal Model Context Protocol server in TypeScript that demonstrates MCP-compliant resources and tools for LLMs, featuring simple resources and a basic tool that echoes messages or returns greetings.

Enables local authoring and testing of Minecraft Java adventure maps through validated MCP tools, including structure building, snapshot/restore, and automated QA.

An MCP server that provides AI agents with real-time package health data, vulnerability reports, and dependency graphs from PyPI and OSV.dev.

A minimal MCP server mock for testing, providing echo, debug, and greeting resources to simulate MCP interactions.

Enables scanning projects for dependency vulnerabilities, secrets, license conflicts, code quality, and git health, returning a 0-100 health score with actionable suggestions.

A minimal, dependency-free MCP server demonstrating the 2026-07-28 protocol with a toy example of sending a person to check something in the physical world and returning structured evidence, ideal for learning the protocol layer.

Enables agents to call deterministic microservice operations through a native FastMCP JSON-RPC interface, including URL prefix routing, HMAC-SHA256 JWT claims authentication, and P99 latency SLA auditing.

Provides read-only repository health scanning tools for drift detection, module reachability, prompt bloat, evidence calibration, and registration completeness, enabling agents to diagnose repositories via MCP.

Provides audit_plugin_health and prepare_semantic_review tools for deterministic inspection of Codex plugins and Agent Skills, generating evidence-backed reports without executing or transmitting target code.

A simple Model Context Protocol server demonstration that provides SSE streaming communication and basic message handling with a Hello World example.

A simple hello world MCP server with a greeting tool, deployable on Railway.

Enables AI coding agents to review code-health deltas, preview proposed changes, score files or whole projects, and get explanations of code smells through MCP tools.

Monitors and analyzes dependency health in Node.js projects, providing tools to check outdated packages, vulnerabilities, licenses, and suggest safe upgrades.

Integrates live Screeps game data into AI development workflows, providing comprehensive tools for room operations, market analysis, and user management. It enables AI agents to monitor game status and interact with the game world through the Model Context Protocol.