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Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

70,721 tools. Last updated 2026-02-08 08:09
  • Retrieve detailed information about a specific Kubernetes node using cluster, node pool, or node labels instead of UUIDs for easier identification.
    MIT
  • Retrieve detailed information about a specific node in Figma using its node ID, enabling precise design data access for analysis or integration.
  • Retrieve detailed information about a specific Kubernetes node using cluster, node pool, and node identifiers with smart resolution for labels or UUIDs.
    MIT
  • Retrieve detailed data about a specific node in Figma designs, enabling programmatic extraction of design information for analysis or integration purposes.
    MIT
  • Retrieve detailed information about a specific Kubernetes node pool using cluster and node pool identifiers. Supports smart resolution with labels or UUIDs for easy resource lookup.
    MIT
  • Retrieve detailed information about a specific Kubernetes node pool using cluster and node pool identifiers, with support for both labels and UUIDs.
    MIT

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