opentelemetry
pipStandardUnified MCP server for querying OpenTelemetry traces across multiple backends (Jaeger, Tempo, Traceloop, etc.), enabling AI agents to analyze distributed traces for automated debugging and observability.
169120Updated 2 days ago
Overview
Unified MCP server for querying OpenTelemetry traces across multiple backends (Jaeger, Tempo, Traceloop, etc.), enabling AI agents to analyze distributed traces for automated debugging and observability.
Installation
1Install the package
pip
pip install opentelemetry-mcp-server2Add to Claude
Add this configuration to your claude_desktop_config.json:
claude_desktop_config.json
{
"mcpServers": {
"traceloop-opentelemetry-mcp-server-github": {
"command": "uvx",
"args": [
"pip install opentelemetry-mcp-server"
]
}
}
}3Verify installation
Restart Claude Desktop, then ask:
"What tools do you have available from opentelemetry?"
Prerequisites
- Python 3.10 or higher
- pip or uv package manager
- Claude Desktop or Claude API access
Configuration
No configuration required. This server works out of the box.
Usage Examples
List Resources
"What resources are available in opentelemetry?"
Claude will query available resources and return a list of what you can access.
Get Details
"Show me details about [specific item] in opentelemetry"
Claude will fetch and display detailed information about the requested item.
Create New
"Create a new [item] in opentelemetry with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
Works with opentelemetry
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