last9-mcp-server — MCP Server by last9

by last9 · MCP Server · ★ 58

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About last9-mcp-server

Last9 MCP Server Your AI agent doesn't know what's broken in production. This fixes that. Last9 MCP Server connects Claude, Cursor, Windsurf, and any other MCP-capable AI assistant directly to your production observability data — logs, metrics, traces, exceptions, database queries, alerts, and deployments. The agent stops guessing and starts reading the actual signal. Watch the demo Announcement post Start in 30 seconds (Hosted) No binary to install. No tokens to manage. One URL, OAuth in your browser, done. Find your org slug in your Last9 URL: Claude Code Type , select last9, authenticate. That's it. Cursor Settings MCP Add New MCP Server: Click Connect, complete OAuth. VS Code Requires v1.99+. Open Command Palette → MCP: Add Server, paste the URL, authenticate. Or directly in : ##

aiai-agentsclaudecursormcpmonitoringobservabilityvibe-coding

Quick Facts

Stars58
Forks12
LanguageGo
CategoryMCP Server
LicenseApache-2.0
Quality Score68.7652119766509/100
Open Issues1
Last Updated2026-07-02
Created2025-03-28
Platformsclaude-code, go, mcp
Est. Tokens~21k

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Frequently Asked Questions

What is last9-mcp-server?

last9-mcp-server is Last9 MCP Server. It is categorized as a MCP Server with 58 GitHub stars.

What programming language is last9-mcp-server written in?

last9-mcp-server is primarily written in Go. It covers topics such as ai, ai-agents, claude.

How do I install or use last9-mcp-server?

You can find installation instructions and usage details in the last9-mcp-server GitHub repository at github.com/last9/last9-mcp-server. The project has 58 stars and 12 forks, indicating an active community.

What license does last9-mcp-server use?

last9-mcp-server is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to last9-mcp-server?

The top alternatives to last9-mcp-server on Agent Skills Hub include argus, flutter-skill, runtm. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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