mcp-victorialogs for MCP
MCP Victorialogs: An MCP Server for VictoriaLogs Integration
- Free
- 4.9
- V v1.9.0
MCP Victorialogs: An MCP Server for VictoriaLogs Integration
MCP Victorialogs, developed by VictoriaMetrics-Community, serves as a Model Context Protocol (MCP) server specifically designed for VictoriaLogs. Built with Go, this tool extends VictoriaLogs capabilities by allowing interaction through various AI clients. It supports engineers in SRE, DevOps, and SE roles by providing direct access to log data and documentation. The program is distributed as free software, offering multiple deployment options to suit different operational environments. It aims to enhance debugging and observability workflows.
What does MCP Victorialogs connect to?
MCP Victorialogs functions as an MCP server, establishing a direct connection to a VictoriaLogs instance. Its core purpose is to act as an intermediary, enabling external systems, particularly AI clients, to interact with VictoriaLogs data. This integration allows for querying logs and exploring log data, making VictoriaLogs accessible within a broader ecosystem. The tool is categorized as an MCP server, indicating its role in managing context and interactions with the underlying log management system.
Core features and tools
MCP Victorialogs exposes several callable tools for log management. Users can Query logs and explore log data using LogsQL, allowing detailed investigation into log entries. It also enables users to Show parameters and non-default flags of your VictoriaLogs instance, providing insight into the system's configuration. The tool can List available streams, fields, and field values, which helps in understanding log structure. Furthermore, it supports Query log statistics as metrics for given time ranges and allows users to Search embedded VictoriaLogs documentation without online access.
Who is it for?
MCP Victorialogs targets engineers involved in logs, observability, and debugging tasks. This includes Site Reliability Engineers (SRE), DevOps engineers, and Software Engineers (SE). It is designed for professionals who need to interact with VictoriaLogs instances programmatically or through AI assistants for operational analysis and troubleshooting. The tool supports workflows that require querying log data and accessing documentation directly. Skip this if you do not work with VictoriaLogs instances.
How to get started
The server authenticates using an API key passed as an environment variable. Setup requires defining the VL_INSTANCE_ENTRYPOINT environment variable with the VictoriaLogs instance URL and optionally providing an authentication token via the VL_INSTANCE_BEARER_TOKEN variable, supporting stdio, sse, and http transport protocols.
Use cases
- Debugging production issues by querying logs directly from an AI assistant, enabling rapid problem identification and resolution.
- Automating observability tasks across multiple VictoriaLogs instances, helping SRE and DevOps engineers manage distributed systems efficiently.
- Combining log queries with documentation searches for troubleshooting, reducing context switching and speeding up diagnostic processes.
MCP Victorialogs provides a vital link between AI clients and VictoriaLogs instances, expanding the utility of log data for engineers. Its support for various transport protocols and specific debugging tools makes it a valuable addition to observability stacks. The program is free and offers flexible deployment.
Pros
- Connects AI clients to VictoriaLogs.
- Offers multiple deployment methods.
- Provides direct access to log data.
- Includes embedded documentation search.
Cons
- Requires a separate VictoriaLogs instance.
- Authentication relies on manual token management.
- Specific AI clients are confirmed, others may vary.
- Requires environment variable setup for configuration.
mcp-victorialogs for MCP
- Free
- 4.9
- V v1.9.0
Top downloads

mcp-apache-spark-history-server
MCP Apache Spark History Server: AI Agent Tool for Spark Analysis

PerformanceStudio
Comprehensive SQL Server Plan Analysis Tool

OpenMetadata
Comprehensive AI Data Analysis Platform

masume
Efficient Database Client for Terminal Use
mcp-analytics
mcp-analytics: MCP server for AI-assisted business data analysis and reporting
Discover more programs

mcp-victoriametrics
- 4.9
- Free
Comprehensive AI Data Analysis with MCP Server
pgvoyager
- 4.2
- Free
Comprehensive PostgreSQL Database Management Tool

OpenMetadata
- 4.1
- Free
Comprehensive AI Data Analysis Platform

ai-dba-workbench
- 4.7
- Free
Comprehensive AI Tool for PostgreSQL Management

PerformanceMonitor
- 4.2
- Free
Performancemonitor: SQL Server Monitoring and AI Analysis for DBAs

mcp-trino
- 4.9
- Free
MCP Trino: Bridging AI Assistants with Distributed SQL Analytics

signoz-mcp-server
- 4.5
- Free
Signoz MCP Server: Bridging AI Assistants to Observability Data
mcp-data-platform
- 4.9
- Free
MCP Data Platform Unifies Data Access for AI Agents and Enterprise Users

mcp-ripestat
- 4.9
- Free
MCP Ripestat: Network Intelligence Bridge for AI Assistants

tiger-cli
- 4.6
- Free
Tiger CLI: An MCP Server for Database Management and AI Assistant Integration
anyquery
- 4.7
- Free
Comprehensive SQL Query Engine for Various Data Sources