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"A calculation evaluating the expression 9999519 plus 9999490" matching MCP servers:

  • A
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    quality
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    maintenance
    Enables comprehensive management of Proxmox virtualization environments, including VM and container lifecycle, snapshots, backups, monitoring, and OpenAPI integration.
    14
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enhanced Home Assistant MCP server with 22 context efficient tools for smart home control, automation trace debugging, entity registry management, CEL expression queries, and long-term statistics.
    22
    3
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Extends the official Google Ads MCP with a safe write layer for creating paused-by-default Search campaigns and an account auditor, all running locally with no hosted dependencies.
    13
    1
    Apache 2.0
  • A
    license
    A
    quality
    C
    maintenance
    Provides LLMs with network intelligence capabilities including PTR record lookups, ASN analysis, traceroute enrichment, and real-time network monitoring through The Aleph API.
    13
    14
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    An MCP server that provides cost and reliability observability for LLM and agent workflows. It records model calls and allows querying and aggregating telemetry data through MCP tools.
    6
    MIT
  • -
    license
    Not graded
    quality
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    maintenance
    A production-grade Model Context Protocol server that enables secure management of context data through a React dashboard, supporting ZIP processing, context approval workflows, and system monitoring.
    247
  • F
    license
    Not graded
    quality
    D
    maintenance
    Exposes 90 production-grade tools for interacting with the complete HPE Aruba Networking Central REST API surface, including network inventory, configuration, and security management. It features enterprise-ready OAuth2 handling and semantic tool filtering for optimized performance with both hosted and local LLMs.
  • F
    license
    A
    quality
    B
    maintenance
    A Model Context Protocol server that gives LLM clients full access to your AppDynamics monitoring data — plus the ability to create and manage dashboards and health rules.
    30
    5
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables token counting, usage tracking, and cost calculation for LLM APIs, with a proxy server mode to automatically intercept and monitor API requests from clients like Cursor and Windsurf.
    10
    1
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables users to measure, track, and compare response times of GitHub Copilot and other AI models. Provides statistical analysis and performance comparison tools for evaluating AI model efficiency.
  • A
    license
    A
    quality
    A
    maintenance
    A read-only kubectl MCP server for AI assistants. The kubectl verb is hardcoded in each tool (get/describe/logs/events) and user input only fills argument values — no mutation path even with malicious input, and Secret/ConfigMap values are never returned (metadata only). Returns structured JSON, plus one-shot k8s_triage (health scan) and k8s_inventory (cluster snapshot).
    6
    1
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    VMware vSphere compliance and hardening — read-only baseline scanning plus drift detection across CIS, DISA STIG, vSphere SCG, China DJCP 2.0, and PCI-DSS frameworks. Includes LLM-powered remediation suggestions; apply-side gated through the vmware-pilot approval workflow.
    8
    3
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Provides AI assistants with read access to Clamp analytics data including pageviews, visitors, referrers, and custom events. Enables traffic analysis, conversion funnel evaluation, and metric alerts through natural language queries.
    33
    88
    2
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Exposes live industrial IoT telemetry to any MCP client, streaming simulated sensor data from a fleet of machines and detecting anomalies, with the ability to inject faults on demand.
    4
    MIT