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"Guide to Developing and Deploying a Web SaaS Application" matching MCP servers:

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    Enables LLM agents to query Dynatrace SaaS for observability data (logs, metrics, traces, entities, problems, vulnerabilities) and manage configurations (dashboards, notebooks, SLOs, synthetic monitors, settings).
    100
    MIT
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    license
    C
    quality
    D
    maintenance
    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
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables AI assistants to monitor and troubleshoot AWS Application Signals services by tracking service health, analyzing SLO compliance, querying CloudWatch metrics, and investigating issues using distributed tracing with AWS X-Ray.
    MIT
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    A
    quality
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    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
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    Not graded
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    maintenance
    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
  • A
    license
    A
    quality
    A
    maintenance
    An MCP server that connects AI agents to Scouter APM, enabling natural-language queries against real-time application performance data.
    25
    19
    3
    Apache 2.0
  • A
    license
    A
    quality
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    maintenance
    Enables LLMs to query telemetry data via the Spyglass AI agent, providing intelligent insights about application performance, errors, and bottlenecks.
    1
    MIT
  • A
    license
    A
    quality
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    maintenance
    A read-only MCP server for querying Sumo Logic logs, enabling AI assistants to search and investigate application logs with opinionated tools and secure credential handling.
    5
    30
    1
    MIT
  • A
    license
    A
    quality
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    maintenance
    Aggregates status of multiple SaaS providers into a single MCP server, enabling AI agents to check service health and incidents via tools like list_services, get_status, and check_all.
    4
    38
    Apache 2.0
  • F
    license
    B
    quality
    F
    maintenance
    A Model Context Protocol server that lets AI assistants interact with the Sentry API to retrieve and analyze error data, manage projects, and monitor application performance.
    11
    11
  • A
    license
    B
    quality
    D
    maintenance
    An MCP server for managing and monitoring Docker, Docker Compose, and Kubernetes environments alongside Azure Application Insights. It enables advanced log filtering, container lifecycle management, and querying of cloud application traces and metrics.
    7
    MIT
  • A
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    quality
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    maintenance
    A Claude Code MCP server that connects to Laravel Clockwork to provide insights into application performance, database queries, errors, and request flow.
    38
    28
    4
    MIT
  • A
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    Not graded
    quality
    D
    maintenance
    Connects AI assistants to cloud and SaaS logs via Tailpipe, enabling natural language querying and analysis of log data.
    23
    7
    Apache 2.0
  • A
    license
    Not graded
    quality
    D
    maintenance
    Connects AI coding assistants to Shipbook for investigating issues using real application logs with error classification, log search, and session tracing.
    2
    MIT