Chat Analysis

v1.0.0Analyticsstable

MCP server for chat analysis

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What is Chat Analysis?

Chat Analysis is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for chat analysis

MCP server for chat analysis

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

Features

  • MCP server for chat analysis

Use Cases

Conversation analysis
Message metrics
Community

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

NPM

npx -y chat-analysis

Manual Installation

npx -y chat-analysis

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 Chat Analysis

What is Chat Analysis?

Chat Analysis is a Model Context Protocol (MCP) server that mcp server for chat analysis It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Chat Analysis?

Install via npm with the command: npx -y chat-analysis. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).

Which AI clients work with Chat Analysis?

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

Is Chat Analysis free to use?

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

Browse More Analytics MCP Servers

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

Quick Config Preview

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

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

Read the full setup guide →

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