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logchef

by mr-karan889GoUpdated 2026-09-11

Lightweight, single-binary log analytics interface for ClickHouse, focused on high-performance querying and visualization

Claude Desktop

LogChef MCP server provides AI assistants with programmatic access to log analytics and observability data stored in ClickHouse and VictoriaLogs. It enables agents to query logs using LogchefQL or native SQL/LogsQL, retrieve dashboard data, investigate incidents through live tail streams, and access saved queries without reshaping existing log storage. The server acts as a bridge between AI models and production log backends, allowing assistants to help with troubleshooting, incident investigation, and operational queries.

Key Features

Query ClickHouse and VictoriaLogs backends using LogchefQL, SQL, or LogsQL through the MCP protocol
Access real-time log streams via live tail for incident investigation
Retrieve dashboard panels including time series, stats, breakdowns, and tables
Execute saved queries and search templates from the log workspace
Support for multi-datasource environments with both ClickHouse and VictoriaLogs
Natural language query translation via AI Query Assistant integration
Histogram and field exploration capabilities for log analysis
Authentication and RBAC-aware access to respect datasource permissions

Use Cases

  • 01AI assistants helping developers troubleshoot production issues by querying application logs
  • 02Automated incident investigation through natural language queries converted to LogchefQL
  • 03Conversational access to operational dashboards and metrics from ClickHouse or VictoriaLogs
  • 04Interactive log exploration where AI agents retrieve field distributions and patterns
  • 05Agent-driven monitoring of error rates and anomalies across multiple log sources
  • 06Terminal-based workflows where assistants generate and explain SQL or LogsQL queries

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logchef — FAQ

What is the LogChef MCP server?+

The LogChef MCP server is a Model Context Protocol integration that exposes LogChef's log analytics capabilities to AI assistants. It allows agents to query ClickHouse and VictoriaLogs backends, access dashboards, and investigate logs through natural language or structured queries.

How do I install the LogChef MCP server?+

The MCP server is distributed as part of the logchef-mcp repository (https://github.com/mr-karan/logchef-mcp). You configure it in your MCP client by pointing to the LogChef server URL and providing authentication credentials.

Which AI clients work with LogChef MCP?+

LogChef MCP works with any client that supports the Model Context Protocol, including Claude Desktop, Continue, and other MCP-compatible development environments.

Do I need API keys or a LogChef instance?+

Yes, you need a running LogChef server instance (self-hosted or cloud) and valid authentication credentials. LogChef itself requires either ClickHouse or VictoriaLogs as a log backend datasource.

Is LogChef free and open source?+

Yes, LogChef is distributed under the AGPLv3 license and is free to use. The core platform and MCP integration are both open source.

Can I query both ClickHouse and VictoriaLogs through the MCP server?+

Yes, LogChef 2.0 supports both ClickHouse and VictoriaLogs as first-class datasources. The MCP server can interact with either backend using the appropriate query language (SQL for ClickHouse, LogsQL for VictoriaLogs).

How do I install logchef?+

Open the source repository on GitHub and follow its README. logchef is a mcp server — MCP Agents Market links you directly to the official repo.

Is logchef free?+

logchef is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.

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