lubelog_mcp
Verified Safeby hargata
Overview
Integrates LubeLogger with AI agents to manage vehicle maintenance records using a RESTful API.
Installation
docker-compose up -dEnvironment Variables
- LUBELOG_INSTANCE
- LUBELOG_USER
- LUBELOG_PASS
Security Notes
The server offers two authentication methods: Header Auth (more secure) and Local Auth (less secure, granting unfettered access to all vehicles). The choice of Local Auth, while documented, presents a significant security consideration if not used carefully. Environment variables (LUBELOG_INSTANCE, LUBELOG_USER, LUBELOG_PASS) are indicated for configuration, promoting secure secret management. No 'eval', obfuscation, or hardcoded secrets were found in the provided snippets. The use of 'AllowedHosts: "*"' in appsettings.json is common but could be tightened for production deployments if strict origin control is needed.
Similar Servers
klavis
Develop and deploy AI agents that interact with a wide array of web services (e.g., Gmail, YouTube, LinkedIn, Supabase, Salesforce, Kubernetes) through a standardized Model Context Protocol (MCP), often orchestrated by an intelligent routing layer like Strata.
mcp_massive
An AI agent orchestration server, likely interacting with LLMs and managing multi-agent workflows.
2ly
Skilder is an infrastructure layer for AI agent tooling, providing a private tool registry and embedded runtimes for integrating with various agent frameworks and custom tools.
Local_MCP_Client
The client acts as a cross-platform web and API interface for natural language interaction with configurable MCP servers, facilitating structured tool execution and dynamic agent behavior using local LLMs.