What platforms does it support?
It works on macOS, Windows, and Linux with platform-specific log paths.
@klara-research
基本情報
An MCP server to read MCP logs to debug directly inside the client
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"MCP-Analyzer": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@klara-research/MCP-Analyzer",
"--client",
"claude"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
MCP Server: Analyze & Debug MCP Logs is a specialized MCP server that helps you analyze and debug Model Context Protocol logs. It provides Claude with direct access to log files, making it easy to troubleshoot MCP integrations and understand how Claude interacts with your tools.
Install via Smithery (npx -y @smithery/cli install @klara-research/MCP-Analyzer --client claude) or manually from GitHub, then add the server to your Claude Desktop configuration with the log-reader entry. Once connected, ask Claude to use the log reader tool with optional parameters such as lines, filter, customPath, fileLimit, and page.
It works on macOS, Windows, and Linux with platform-specific log paths.
Install automatically via Smithery or manually by cloning the GitHub repository, running `npm i` and `npx tsc`, then adding the server configuration to Claude Desktop.
Available parameters: `lines` (default 100), `filter` (case-insensitive text), `customPath`, `fileLimit` (default 5), and `page` (default 1).
It uses intelligent truncation to prevent overwhelming responses while preserving the most relevant content.
No authentication is needed; the server reads local log files from standard OS locations.
Console, Backend and CLI to manage Capgo Instant update and Native build for Capacitor apps Build and upload to app store your mobile app

One case file per task — shared by every session, agent and person that touches it. Self-hosted MCP server and live board. MIT.

Open-source Mac network diagnostics for AI agents and humans. Check connectivity, Wi-Fi, hotspots and traffic from the terminal or MCP.
Set up and manage the Eddyter AI rich text editor by talking to your AI agent — for Claude, Cursor, Codex and other MCP tools. A Model Context Protocol server that lets AI tools add Eddyter to a React, Next.js, Vite or R

Local-first credential broker for MCP. AI coding agents (Claude Code, Cursor, Codex…) call APIs, SSH and databases through scoped presets; secrets stay in your OS keychain and never enter the agent's context.
コメント