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"Definition and applications of 'sequential'" matching MCP servers:

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    Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.
    40
    1
    Apache 2.0
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    A production-oriented reliability, benchmarking, and evaluation system that layers multi-version protocol negotiation, adaptive streaming, connection pooling, and resilience onto an MCP agent runtime.
    1
    Apache 2.0
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    A Model Context Protocol server that provides seamless integration with Coroot observability platform, enabling monitoring of applications, analysis of performance metrics, examination of logs and traces, and management of infrastructure through Coroot's comprehensive API.
    61
    16
    MIT
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    Exposes Spark History Server data as tools for AI agents, enabling natural language querying of Spark applications, jobs, stages, and performance metrics.
    189
    Apache 2.0
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    A task-scoped MCP stdio proxy that learns candidate least-privilege policies from labeled successful runs, requires human review, enforces exact decisions, detects tool-definition drift, and emits privacy-minimized JSONL events for Wazuh.
    1
    Apache 2.0
  • A
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    A read-only Windows MCP server that gives AI assistants awareness of the current PC state, including open applications, focus, idle status, and system metrics.
    MIT
  • F
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    Exposes Spark History Server metrics and metadata as tools for LLM-based analysis of Spark applications. It enables deep optimization of Spark jobs by providing access to job summaries, stage details, SQL execution plans, and executor performance.
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    Enables natural language queries of the Chrome UX Report API to fetch Core Web Vitals (LCP, INP, CLS, FCP, TTFB), compare form factors, benchmark pages against site averages, and analyze up to 40 weeks of performance trends.
    6
    134
    MIT
  • F
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    Enables monitoring and analysis of agent goal achievement and failures across sessions, repos, and tools, with detailed views and tracing.
    3
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    Enables AI agents to check the health of internet infrastructure and specific services, helping diagnose whether issues are local or external.
    3
    24
    ISC
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    Enables read-only querying of Grafana Loki logs through tools like label discovery, LogQL queries, and recent log retrieval, without requiring knowledge of the Loki API.
    4
    MIT
  • A
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    Enables search, analytics, and visualization of Claude Code sessions with MCP tools for session management, recovery, and insights.
    10
    1
    MIT
  • A
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    A
    quality
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    maintenance
    Enables LLMs to analyze and manage DBOS workflows, including introspection, workflow management, and authentication, to help debug applications in development or production.
    25
    11
    MIT
  • A
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    maintenance
    A read-only MCP server for AppDynamics that exposes 12 task-oriented tools to query applications, topology, metrics, snapshots, health rules, anomalies, events, alerting config, analytics events, and dependency maps via OAuth API-client credentials.
    12
    1
    MIT
  • A
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    quality
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    Enables MCP-compatible coding agents to debug applications using runtime log data, by providing tools to start a local log-ingestion server, track debugging sessions and hypotheses, and correlate logs to specific executions.
    19
    29
    MIT
  • F
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    Read-only MCP server that exposes Kubernetes platform state (tenants, pods, SLOs, ArgoCD applications, chaos schedules, and catalog services) to AI agents, enabling natural language queries about cluster health and configuration.
    6
  • A
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    Enables AI assistants to access Scout Monitoring performance and error data through Scout's API. Provides traces, errors, metrics, and insights for Rails, Django, FastAPI, Laravel and other applications to help identify and fix performance issues like N+1 queries, slow endpoints, and memory bloat.
    13
    29
    MIT