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228,397 tools. Last updated 2026-06-23 18:57

"namespace:io.github.Anteos-Health" matching MCP tools:

Matching MCP Servers

  • A
    license
    A
    quality
    B
    maintenance
    Provides read-only SQL Server health and diagnostic tools using DMVs, enabling users to query server health, active queries with blocking, and missing indexes through natural language.
    Last updated
    3
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Monitor MCP server health, uptime, response times, and Azure DevOps pipeline status
    Last updated
    14
    12
    1
    MIT

Matching MCP Connectors

  • Health data: NIH grants, WHO statistics, and genetic variants

  • Healthcare provider & compliance intel: NPPES lookup, OIG/SAM exclusion screening, FDA enforcement.

  • Determine current market mode (CHOP, TREND, RANGE) and health (HEALTHY, FRAGILE) to inform trading strategy and position sizing adjustments.
    MIT
  • Audit your wiki's health by checking for broken links, terminology issues, orphaned pages, and recent activity, with a health score and actionable recommendations.
    MIT
  • Check server health, ports, and statistics to debug connectivity or port issues.
    Apache 2.0
  • Check health of all Service Engines to identify issues at the SE level when virtual service health degrades.
    MIT
  • Retrieve service status including name, version, uptime, port, health, and dependencies. Use for monitoring and health checks.
    Apache 2.0
  • Identify database health problems by running checks on indexes, connections, vacuum, sequences, replication, buffer cache, and constraints.
    MIT
  • Retrieve complete configuration and health details of a specific Nutanix cluster, including nodes, storage, networking, and health metrics.
    MIT
  • Perform a health check on the server. Returns 'pong' to confirm it is alive.
    MIT
  • Extract specific health record types from Apple Health XML files for analysis. Specify the record type and limit to retrieve up to a defined number of XML elements. Use for efficient, targeted data extraction.
    MIT