How do I install LLM Analysis Assistant MCP Server?

Follow the setup instructions on the LLM Analysis Assistant GitHub repository, then add the server configuration to your AI client.

What category is LLM Analysis Assistant MCP Server?

LLM Analysis Assistant is categorized under Monitoring & Observability. Browse more servers in these categories on MCPgee.

LLM Analysis Assistant

Name: llm-analysis-assistant
Author: Community

v1.0.0•Monitoring & Observability•stable

** <img height='12' width='12' src='https://raw.githubusercontent.com/xuzexin-hz/llm-analysis-assistant/refs/heads/main/src/llm_analysis_assistant/pages/html/imgs/favicon.ico' alt='Langfuse Logo' /> - A very streamlined mcp client that supports calli

llm-analysis-assistantmcpai-integration

Stars

Downloads

Weekly

0/5

View on GitHub

What is LLM Analysis Assistant?

LLM Analysis Assistant is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to ** <img height='12' width='12' src='https://raw.githubusercontent.com/xuzexin-hz/llm-analysis-assistant/refs/heads/main/src/llm_analysis_assistant/pages/html/imgs/favicon.ico' alt='langfuse logo' /> -...

This server falls under the Monitoring & Observability category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

** <img height='12' width='12' src='https://raw.githubuserco

Use Cases

Analyze LLM behavior and performance through a streamlined interface.

Community

Maintainer

LicenseMIT

Languagetypescript

Versionv1.0.0

UpdatedN/A

Statushealthy

Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

View Source Browse All Servers

Installation

Manual Installation

npx llm-analysis-assistant

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms

ThroughputMedium

Resource Usage

Memory UsageLow

CPU UsageLow

Frequently Asked Questions about LLM Analysis Assistant

What is LLM Analysis Assistant?

LLM Analysis Assistant is a Model Context Protocol (MCP) server that ** <img height='12' width='12' src='https://raw.githubusercontent.com/xuzexin-hz/llm-analysis-assistant/refs/heads/main/src/llm_analysis_assistant/pages/html/imgs/favicon.ico' alt='langfuse logo' /> - a very streamlined mcp client that supports calli It connects AI assistants to external tools and data sources through a standardized interface.

How do I install LLM Analysis Assistant?

Follow the installation instructions on the LLM Analysis Assistant GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with LLM Analysis Assistant?

LLM Analysis Assistant works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is LLM Analysis Assistant free to use?

Yes, LLM Analysis Assistant is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Learn More About MCP Servers

Getting Started with MCP

Set up your first MCP server in minutes

MCP Setup Guide

Configure MCP in Claude, Cursor & VS Code

All MCP Tutorials

18+ hands-on guides for developers

MCP FAQ

40+ answers about Model Context Protocol

LLM Analysis Assistant Alternatives — Similar Monitoring & Observability Servers

Looking for alternatives to LLM Analysis Assistant? Here are other popular monitoring & observability servers you can use with Claude, Cursor, and VS Code.

Netdata

★ 78.9k

Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.

Kubeshark

★ 11.9k

eBPF-powered network observability for Kubernetes. Indexes L4/L7 traffic with full K8s context, decrypts TLS without keys. Queryable by AI agents via MCP and humans via dashboard.

Mission Control

★ 4.9k

Self-hosted AI agent orchestration platform: dispatch tasks, run multi-agent workflows, monitor spend, and govern operations from one mission control dashboard.

Grafana

★ 3.0k

This MCP server enables natural-language querying of Grafana logs by automatically detecting log sources and service labels. It provides read-only access to log data with intelligent caching for efficient repeat queries.

Sentrux

★ 2.4k

Real-time architectural sensor that helps AI agents close the feedback loop, enabling recursive self-improvement of code quality. Pure Rust.

OpenInference

★ 986

OpenTelemetry Instrumentation for AI Observability

Browse More Monitoring & Observability MCP Servers

Explore all monitoring & observability servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Monitoring & Observability Browse All Servers

Set Up LLM Analysis Assistant in Your Editor

Choose your AI client for step-by-step setup instructions.

🖥️

Claude Desktop

macOS & Windows app

⌨️

Claude Code

CLI & terminal

📝

Cursor

AI-first code editor

💻

VS Code

GitHub Copilot MCP

🏄

Windsurf

Codeium AI editor

🔌

Cline

VS Code extension

Quick Config Preview

{
  "mcpServers": {
    "llm-analysis-assistant": {
      "command": "npx",
      "args": ["-y", "llm-analysis-assistant"]
    }
  }
}

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use LLM Analysis Assistant?

Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.

33,000+ ServersFree & Open SourceStep-by-Step Guides

Explore All Servers Read Our Guides