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last9/last9-mcp-server

by Various

Last9 MCP Server

L

MCP

last9/last9-mcp-server

Added 1 June 2026

#ai #ai-agents #claude #cursor #mcp #monitoring #observability #vibe-coding

Overview

A Model Context Protocol server written in Go that connects AI agents to Last9's observability platform. It enables agents to query metrics, traces, and logs through a standardized interface.

Best for

Best for
Developers building AI-powered observability workflows on Last9's platform

Use cases

  • Querying infrastructure metrics and traces from AI assistants
  • Automating incident response with natural language commands
  • Integrating AI-driven monitoring into existing observability pipelines

How to use

Install

npx -y @last9/mcp-server@latest

Tools exposed

  • LAST9_REFRESH_TOKEN
  • LAST9_DATASOURCE
  • LAST9_API_HOST
  • LAST9_MAX_GET_LOGS_ENTRIES
  • LAST9_DEBUG_CHUNKING
  • LAST9_DISABLE_TELEMETRY
  • OTEL_SDK_DISABLED
  • OTEL_EXPORTER_OTLP_ENDPOINT
  • OTEL_EXPORTER_OTLP_HEADERS

Tested with

Claude Code, Cursor, Windsurf, VS Code

Notes

A Model Context Protocol server written in Go that connects AI agents to Last9’s observability platform. It enables agents to query metrics, traces, and logs through a standardized interface.

57 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

Use cases

  • Querying infrastructure metrics and traces from AI assistants
  • Automating incident response with natural language commands
  • Integrating AI-driven monitoring into existing observability pipelines

Pros

  • Lightweight Go implementation with minimal dependencies
  • Open source and easy to self-host or extend
  • Standard MCP interface works with many AI frameworks

Cons

  • Small community (57 stars) with limited support and documentation
  • Requires a Last9 account and platform access to function
  • Narrow focus on Last9’s ecosystem rather than generic observability

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Lightweight Go implementation with minimal dependencies
  • Open source and easy to self-host or extend
  • Standard MCP interface works with many AI frameworks

Cons

  • Small community (57 stars) with limited support and documentation
  • Requires a Last9 account and platform access to function
  • Narrow focus on Last9's ecosystem rather than generic observability

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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