The Loki MCP Server provides a protocol-compliant interface for querying Grafana Loki logs, supporting MCP via stdin/stdout and HTTP SSE endpoints, with Docker, Go, and CLI options available.
Added on:
Created by:
Apr 21 2025
The Loki MCP Server provides a protocol-compliant interface for querying Grafana Loki logs, supporting MCP via stdin/stdout and HTTP SSE endpoints, with Docker, Go, and CLI options available.
Added on:
Created by:
Apr 21 2025
Scott Lepper
Featured
What is Loki MCP Server?
The Loki MCP Server is a specialized implementation of the Model Context Protocol designed to facilitate direct log querying in Grafana Loki environments. It enables MCP-compatible clients to communicate through stdin/stdout or HTTP SSE, supporting real-time log streaming and query execution. Built with Go, it offers simplified deployment via Docker or native binary, and integrates seamlessly with tools like Claude Desktop and Cursor for enhanced workflows. Its modular architecture includes handlers for different tools, making it flexible and easy to extend for various logging and monitoring applications within enterprise environments.
Who will use Loki MCP Server?
- Developers integrating Grafana Loki with MCP-compatible clients
- DevOps engineers managing logging infrastructure
- Data analysts performing log analysis
- SRE teams monitoring system health
- Software teams building custom log querying tools
How to use the Loki MCP Server?
- Step1: Build the server using Go or Dockerize it
- Step2: Configure environment variables such as LOKI_URL
- Step3: Run the server natively with 'go run' or using Docker/Docker Compose
- Step4: Connect MCP-compatible clients via stdin/stdout or HTTP SSE endpoint
- Step5: Send log queries in LogQL format to retrieve and stream logs
Loki MCP Server's Core Features & Benefits
The Core Features
- Loki log query via LogQL
- Real-time log streaming with SSE
- MCP protocol communication over stdin/stdout
- HTTP API support for integrations
- Docker and Docker Compose deployment
The Benefits
- Enables seamless integration with Loki and MCP clients
- Supports real-time monitoring and log analysis
- Flexible deployment options (binary, Docker, script)
- Modular architecture for easy extension
- Simplifies log querying for automation and workflows
Loki MCP Server's Main Use Cases & Applications
- Integrating Loki log queries into enterprise monitoring systems
- Building custom dashboards with real-time log streaming
- Automating log analysis workflows via MCP clients
- Enabling Loki log access in CI/CD pipelines
- Supporting Grafana Loki with MCP in cloud-native environments
FAQs of Loki MCP Server
Developer
- scottlepp
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Research And Data
A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.
Monitoring
PHP client library enabling interaction with MCP servers via SSE, StdIO, or external processes.
A cross-platform desktop app providing offline access, performance, and detailed metrics for MCP system interaction.
Enables advanced browser automation for viewport management, screenshot capture, and content extraction using TypeScript.
A GUI tool for managing MCP servers across clients with seamless toggling and real-time monitoring features.
A client and server setup facilitating GitLab SSE communication via a supergateway for real-time updates.
A server for sending notifications to self-hosted ntfy servers with secure token authentication support.
A Python SDK-based MCP supporting Elasticsearch 7 and 8 for search, mapping, health, and stats monitoring.
A comprehensive suite of containers for efficient microservices deployment and management.
A WebSocket-based real-time chat application with user authentication, message history, and health monitoring features.
A desktop app to manage omni-ai MCP servers, providing development tools and deployment functionalities.