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457,697 tools. Updated 2026-08-14 14:03

"OpenTelemetry" matching MCP tools:

Matching MCP Servers

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    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
  • A
    license
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    quality
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    maintenance
    Enables access to OpenTelemetry documentation by fetching and converting pages to markdown format and searching content using Google Custom Search. Provides comprehensive documentation lookup and search capabilities for OpenTelemetry concepts, instrumentation, and configuration.
    2
    3
    Apache 2.0

Matching MCP Connectors

  • Proxy Gemini (Vertex AI) completions wrapped in OpenTelemetry trace spans; returns the answer plus t

  • MCP-native AI SRE. Exposes your production OpenTelemetry problems, traces, and logs over the Model Context Protocol, plus an AI remediation loop that opens a reviewed GitHub fix PR and verifies in production (reopening on regression). Tools include list_problems, get_problem, query_traces, detect_anomalies, and request_problem_remediation. Human-in-the-loop by default — the merge button stays yours.

  • Search @imqueue guides and API references by question or exact symbol name; each result returns the page URL and its package.
    GPL 3.0
  • List all documented @imqueue packages with one-line summaries and install commands. Call before adding a dependency to avoid incompatible package pairs.
    GPL 3.0
  • Get expert guidance for using and integrating Arize Phoenix and OpenInference. Solve problems with tracing, datasets, experiments, evals, and prompts.
    Apache 2.0
  • Analyze log files by extracting and grouping trace/correlation IDs to visualize request flows across your system, supporting OpenTelemetry, X-Request-ID, AWS X-Ray, and UUID formats.
    MIT
  • Retrieve a comprehensive cost summary for your AI agent fleet, including total spend, call counts, error rates, agent breakdown, and optimization opportunities. Start here to understand agent economics.
    MIT
  • Register an OTLP destination in the OpenTelemetry MCP server to send traces, metrics, and logs to a collector with configurable protocol, headers, and timeout settings.
    MIT
  • List recent AI application traces ingested via OpenTelemetry to monitor LLM calls, cache lookups, memory recalls, and retrieval spans.
    MIT
  • Retrieve recent OpenTelemetry traces to monitor request performance, detect errors, and identify slow operations. Returns a table with duration, span count, and error count.
    MIT
  • Get LLM spend rollups by cost center or allocation tag for chargeback/showback, with budget posture and forecast. Uses token counts from OpenTelemetry spans without reading prompts.
    Apache 2.0
  • Track LLM spending by agent, model, and provider, and check budget posture. Uses token counts from OpenTelemetry spans, not reading prompts or responses.
    Apache 2.0
  • Simulate sustained traffic by repeatedly running mimic profiles to generate realistic OpenTelemetry data for testing and demonstration purposes.
    MIT