Discover and explore Model Context Protocol servers. Find the right integrations for your AI apps and agents.
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A Model Context Protocol (MCP) server that provides access to OpenTelemetry traces and metrics stored in Logfire, enabling LLMs to analyze application telemetry data.
Add this to your MCP client configuration:
{
"mcpServers": {
"pydantic-logfire-mcp": {
"command": "uvx",
"args": [
"logfire-mcp"
],
"env": {
"LOGFIRE_READ_TOKEN": "<Your Logfire read token for API access.>"
}
}
}
}{
"id": "pydantic-logfire-mcp",
"name": "logfire-mcp",
"description": "A Model Context Protocol (MCP) server that provides access to OpenTelemetry traces and metrics stored in Logfire, enabling LLMs to analyze application telemetry data.",
"source_url": "https://github.com/pydantic/logfire-mcp",
"publisher_name": "pydantic",
"publisher_url": "https://github.com/pydantic",
"is_official": true,
"license": "",
"runtime": "python",
"downloads": 15459,
"requires_oauth": false,
"distribution": {
"type": "pip",
"package": "logfire-mcp"
},
"tools_count": 4
}