MCP Victoriatraces, from Victoriametrics, is an MCP server built with Go. This free tool connects to VictoriaTraces instances, whether single-node or clustered, to expose observability data and operational capabilities. It structures this information for consumption by AI assistants, enhancing how engineers and automated tools interact with tracing data. The program makes distributed tracing data accessible for advanced analysis and debugging, serving as a bridge between complex telemetry and AI-driven insights. It provides a standardized way for AI agents to understand and act upon system behavior.

What does MCP Victoriatraces connect to?

MCP Victoriatraces functions as an MCP server, establishing connections with existing VictoriaTraces instances. This connection can be made to either a single-node setup or a larger, distributed cluster environment. Its core purpose is to expose critical observability data and operational capabilities from VictoriaTraces. It presents this information in a highly structured format, specifically engineered for consumption by various AI assistants. This architecture allows AI tools to interact directly with tracing data, enabling new forms of analysis and automation for system monitoring and understanding.

Core features and tools

MCP Victoriatraces exposes specific callable tools designed for interacting with tracing data. These include Get services and operations (span names), which efficiently identifies available services and their associated span names within the tracing system. Another key tool is Query traces, explore and analyze traces data, allowing for deep investigation into distributed trace information to understand system behavior. The server also contains embedded documentation, which can be searched directly without requiring an internet connection, providing immediate reference for its capabilities and usage.

Who is it for?

The primary audience for MCP Victoriatraces includes engineers responsible for managing and debugging distributed systems. It also serves various automated tools, AI assistants, and AI agents that require structured, programmatic access to observability data. The program is designed to enhance the capabilities of both automated systems and human operators when dealing with complex tracing information. It provides a standardized interface for efficient interaction with VictoriaTraces data. Skip this if your workflow does not involve AI assistants or automated tools interacting with tracing data.

How to get started

Access is granted through an API key for hosted VictoriaMetrics Cloud servers, or potentially a bearer token or proxy for self-hosted VictoriaTraces instances. The server supports stdio, sse, and http transport protocols, with Claude Desktop explicitly mentioned as a compatible client for the underlying protocol.

Use cases

• Interacting with distributed tracing data for observability and debugging tasks.
• Enabling advanced automation and interaction capabilities for engineers and tools.
• Assisting engineers in troubleshooting and investigation workflows by allowing AI agents to query telemetry data and analyze system behavior.

MCP Victoriatraces extends VictoriaTraces capabilities by providing a structured interface for AI assistants and automated tools. It enhances observability and debugging workflows through its callable tools for trace querying and service analysis. The program is a valuable component for organizations aiming to integrate AI agents into their operational and troubleshooting processes. Start by using an AI assistant to Query traces, explore and analyze traces data.