Skip to main content
Glama
scoutapp

Scout Monitoring MCP

Official
by scoutapp
OverviewSchemaSourceRelated ServersDiscussions(1)Admin
Python
Local

Related Servers

Alternatives to Scout Monitoring MCP

No user-submitted related servers found.

    Related Servers

    • New Relic MCP Server

      piekstra
      A
      license
      B
      quality
      C
      maintenance
      Enables AI assistants to interact with New Relic monitoring and observability data through programmatic access to New Relic APIs. Supports APM management, NRQL queries, alert policies, synthetic monitoring, dashboards, infrastructure monitoring, and deployment tracking.
      26
      406 PyPI
      6
      MIT

    • AppSignal MCP

      pauldub
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to query and fetch error and performance monitoring data from AppSignal through the Model Context Protocol. Supports searching and retrieving detailed information about application errors and performance samples with flexible filtering options.
      5
      MIT

    • New Relic MCP Server

      xelber
      A
      license
      A
      quality
      D
      maintenance
      Enables AI agents to access New Relic logs and APM data through the NerdGraph API. It allows users to execute NRQL queries, retrieve application performance metrics, and analyze transaction traces using natural language.
      6
      1
      MIT

    • Production Monitoring MCP

      kowshik3383
      A
      license
      A
      quality
      B
      maintenance
      Connects AI agents to live observability stacks including Sentry, GitHub, Vercel, Better Stack, and Cloudflare, enabling end-to-end incident investigation, deployment correlation, root cause analysis, and regression triage.
      14
      MIT

    • OpenTelemetry MCP Server

      agarwalvivek29
      F
      license
      A
      quality
      D
      maintenance
      Enables AI agents to query Prometheus metrics and Loki logs for intelligent alert investigation and troubleshooting. Provides service discovery, metric querying, log searching, and correlation tools to help identify root causes of issues.
      9
      -
    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A3.7/5.0

    Scored across 15 tools

    Disambiguation4/5

    The tools mostly target distinct resources and actions, and descriptions clarify scope. There is some potential confusion among the metric/trace families (app, job, endpoint metrics; app trace vs job/endpoint traces), but the naming and parameter descriptions make them separable.

    Naming Consistency5/5

    All tools use snake_case with a predictable verb_noun pattern, mostly get_* or list_*, and the singular/plural distinction is meaningful. The set is consistently readable and follows a clear convention throughout.

    Tool Count5/5

    Fifteen tools is well-scoped for an APM monitoring server covering apps, metrics, traces, jobs, endpoints, errors, anomalies, insights, usage, and setup. Each tool appears to earn its place without excessive surface area.

    Completeness4/5

    The surface covers the major monitoring workflows: discovering apps, inspecting metrics and traces across apps/jobs/endpoints, error groups, anomalies, insights, usage, and setup instructions. Minor gaps remain around drilling into individual error group details or deeper error diagnostics, but most workflows are workable.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive

    Resources