"World Health Organization" matching MCP servers:

One-call Australian health and welfare data plumbing via AIHW — cited responses for practical analysis, not a data broker.

Query your Apple Health data including sleep, heart rate, steps, workouts, and more by ingesting an exported XML archive into a local SQLite database.

Enables client success teams to get instant, natural-language health reads on client accounts with tools for overall health, low-performing courses, and launcher-only clients.

MCP server for Kenya health facility and epidemiological data via KHIS/DHIS2.

Enables querying of current A\&E waiting times, specialist outpatient waiting times, and general outpatient clinic quotas in Hong Kong using natural language through MCP.

Enables querying the Health Canada Drug Product Database for information on approximately 47,000 approved drugs, including human pharmaceuticals, biologics, veterinary drugs, radiopharmaceuticals, and disinfectants.

MCP server for monitoring health of MCP servers, GitHub Actions, GitLab pipelines, and HTTP endpoints with health history, TLS expiry, assertions, diagnostics, and alerts.

Fetches body composition data (weight, body fat percentage) from the Tanita Health Planet API and exposes it as MCP tools for AI agents like Claude Desktop.

Monitor MCP server health, uptime, response times, and Azure DevOps pipeline status

MCP server for On-Call Health burnout analysis. Connects AI assistants to your on-call data for workload insights.

A task management MCP server for AI-driven development, enabling creation, tracking, and organization of tasks with subtasks, priorities, and dependencies via natural language commands.

Enables querying organism taxonomy, OBO reference terms, food and nutrition composition, organism and weather observations, and Wikidata alignments through nine MCP tools, with keyed source credentials resolved server-side.

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

An MCP server that reads a file's embedded C2PA Content Credential to report whether it declares AI generation or a real-world capture, and checks whether that declaration's signature still verifies against the file's current bytes.

On-premises knowledge retrieval over the Markdown, text, PDF, Word and Excel files an organization keeps, with the rules you set enforced before anything is retrieved. Agents connect over MCP, get cited passages, and read from it and never write to it.

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.

Read-only ops/health MCP server for a local vLLM instance: health tiers, GPU/VRAM, service status.

Local MCP server to access your personal health data from E-Nabız (Turkish Ministry of Health) via an LLM. Read-only, secure, and respects privacy.

Privacy-first MCP server for querying personal health and finance data with AI. Built with Python, FastMCP, and SQLite. Local-first and open source.

Enables an MCP client to read and write a personal Garmin Connect account: activities with per-set strength detail, daily health metrics (sleep, HRV, stress, steps, readiness), planned and completed workouts, and weigh-ins with body composition. It also logs finished strength sessions and body-composition readings as FIT files so they appear in Garmin Connect like natively recorded ones.

Radar is an open-source Kubernetes observability and diagnostics MCP server. It exposes cluster health, workload diagnosis, logs, events, topology, audit findings, and remediation actions to AI agents through the Model Context Protocol.

Word tools for AI agents: read/write, decompile to F#/C#/XML/JSON, or build from XML/JSON.

Enables a local Python tool to be called from Symbiote chat, returning a personalized greeting for a given name.

A read-only MCP server that gives Claude Desktop access to your Garmin Connect data — daily health metrics, sleep, activities, training status, and body composition.

Probe LLM API endpoints and report health metrics including time to first token, latency, and throughput.

MCP server for parsing .eml email files, extracting metadata, content, and attachments with smart organization into folders. Enables AI to read and handle email files offline without triggering trackers.

Enables AI assistants to interact with Oxidized network device backups through MCP, including listing and filtering devices, checking backup health, reading and regex-searching configs, browsing git version history and diffs, and triggering backups with read-only and credential-redaction options.

The interface protocol for AI agents. 8 kernel primitives + 16 stdlib operations to operate any interface. Forge once, run forever — zero AI at runtime. 81 skills across 41 sites.

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.

Provides DNS lookup and email authentication diagnostic tools (SPF, DKIM, DMARC, MX, etc.) for use with MCP-compatible clients. Enables natural language queries to check DNS records and email health.