Logicmonitor MCP

Created By
monitoringartist7 months ago
MCP Server for LogicMonitor
Overview

What is LogicMonitor MCP?

LogicMonitor MCP (Model Context Protocol) is a server designed to enable AI assistants to interact with LogicMonitor, providing a unified interface for monitoring and managing resources.

How to use LogicMonitor MCP?

To use LogicMonitor MCP, you can run it locally or remotely using Docker or Node.js. You need to set up your LogicMonitor company name and API bearer token for authentication.

Key features of LogicMonitor MCP?

  • 125 MCP Tools for comprehensive LogicMonitor operations (73 read-only, 52 write).
  • Unified Server supporting multiple transport modes (STDIO, SSE, HTTP).
  • Flexible Authentication options including bearer token and OAuth.
  • CSRF Protection for session-based authentication.
  • Debug Logging for detailed request/response tracking.
  • Batch Operations for efficient processing of multiple resources.

Use cases of LogicMonitor MCP?

  1. Integrating LogicMonitor with AI assistants for automated monitoring.
  2. Managing resources and alerts through a unified interface.
  3. Facilitating remote access to monitoring tools for multiple users.

FAQ from LogicMonitor MCP?

  • Can LogicMonitor MCP be used for all LogicMonitor operations?

Yes, it provides a wide range of tools for both read and write operations.

  • Is LogicMonitor MCP free to use?

The server itself is open-source, but you need a LogicMonitor account with API access.

  • How secure is LogicMonitor MCP?

It supports various authentication methods and can be configured to use HTTPS for secure connections.

Server Config

{
  "mcpServers": {
    "github": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "LM_COMPANY",
        "-e",
        "LM_BEARER_TOKEN",
        "monitoringartist/logicmonitor-mcp-server"
      ],
      "env": {
        "LM_COMPANY": "<YOUR_LOGICMONITOR_COMPANY>",
        "LM_BEARER_TOKEN": "<YOUR_LOGICMONITOR_TOKEN>"
      }
    }
  }
}
Project Info
Created At
7 months ago
Updated At
7 months ago
Author Name
monitoringartist
Star
-
Language
-
License
-
Category
monitoring

Recommend Servers

View All
//beforeyouship — LLM Cost Modeling From Your Editor
@Indiegoing

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

10 hours ago
Puter Mcp

2 days ago
Linkpulse

13 hours ago