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traceloop/opentelemetry-mcp-server

The opentelemetry-mcp-server bridges the gap between LLMs and your observability stack by providing a standardized interface to OpenTelemetry-compliant backends. Instead of manually querying dashboards in Datadog, Grafana, or Dynatrace, developers can now use MCP-enabled clients to fetch traces and metrics directly within their AI workflow. This tool essentially turns your telemetry data into a context window, allowing an AI to analyze system performance, debug latency spikes, or correlate errors across distributed services in real-time. It eliminates the context-switching overhead by treating your observability backend as a queryable data source, making it ideal for automated root-cause analysis and performance auditing.

Open ecosystemDatabase
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01 / SERVER DETAIL

Server detail

The opentelemetry-mcp-server bridges the gap between LLMs and your observability stack by providing a standardized interface to OpenTelemetry-compliant backends. Instead of manually querying dashboards in Datadog, Grafana, or Dynatrace, developers can now use MCP-enabled clients to fetch traces and metrics directly within their AI workflow. This tool essentially turns your telemetry data into a context window, allowing an AI to analyze system performance, debug latency spikes, or correlate errors across distributed services in real-time. It eliminates the context-switching overhead by treating your observability backend as a queryable data source, making it ideal for automated root-cause analysis and performance auditing.

An MCP server that exposes traceloop/opentelemetry-mcp-server capabilities to MCP-compatible AI clients.

CapabilitiesDatabaseMCPOpen source
ProtocolModel Context Protocol
Developer ecosystemOpen ecosystem
LicenseMIT / check source
SourceGitHub
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02 / TOOL TESTING

Tool testing

AVAILABLE TOOL

traceloop-opentelemetry-mcp-server

Callable

Call the MCP capabilities provided by traceloop/opentelemetry-mcp-server and return a structured result.

PARAMETERS
inputPass arguments according to the server tool schema.
Tip: the tool may truncate responses. Use pagination parameters such as start_index to read long content in chunks.
03 / SERVICE CONFIGURATION

Connection modes

Remote
{
  "mcpServers": {
    "traceloop/opentelemetry-mcp-server": {
      "url": "Generated by the provider after deployment"
    }
  }
}

The Remote endpoint is generated by the provider after deployment; this page does not fabricate an unusable endpoint.

03 / WORKFLOW

How to use

  1. 01
    Step 1

    Review server capabilities and permission scope.

  2. 02
    Step 2

    Copy the install command or JSON configuration.

  3. 03
    Step 3

    Run a small connection test in your client.

  4. 04
    Step 4

    Adopt it long term only after reviewing access and maintenance.

04 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

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