A
licenseA
qualityA
maintenanceEnables search, analytics, and visualization of Claude Code sessions with MCP tools for session management, recovery, and insights.
10
1
MIT
77,144 servers. Updated
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"How to save files recommended by Claude AI to my computer" matching MCP servers:
- AlicenseAqualityCmaintenanceRead-only AMD GPU monitoring for Claude on Linux — VRAM, temperature, clocks, power, and running ML processes via rocm-smi.5MIT
- AlicenseAqualityBmaintenanceAn instrumented MCP server for debugging lost tool calls in Claude Desktop, using ping, echo, sized_echo, and slow_echo tools to record and analyze the full protocol flow.4MIT
- FlicenseAqualityCmaintenanceProvides structured access to Claude Code agent log files, allowing agents to query assistant lines and tool calls without reading raw JSONL data.2
- AlicenseAqualityFmaintenanceMaintenance, recovery, and observability for Claude Code. CLI + MCP server + dashboard.4036107MIT
- AlicenseBqualityCmaintenanceConnects AI assistants to the Vectra AI security platform to enable intelligent analysis of threat detection data and automated incident response workflows. It allows users to investigate threats, take response actions, and generate security reports using natural language.235MIT
- FlicenseBqualityNot gradedmaintenanceProvides comprehensive telemetry and usage analytics for Claude Code sessions, including token usage tracking, cost monitoring, and tool usage patterns. Enables users to monitor their Claude usage with detailed metrics, warnings, and trend analysis.12
Confident AIofficial
AlicenseNot gradedqualityBmaintenanceConnects AI-powered tools to the Confident AI platform for evaluating, observing, and iterating on AI quality, enabling cloud evaluations, dataset management, prompt versioning, production tracing, and human annotations directly from editors like Cursor and Claude Code.2MIT- AlicenseNot gradedqualityCmaintenanceRead-only systemd inspection for Claude on Linux — list units, status, journal, failed units, unit files.MIT
- AlicenseNot gradedqualityAmaintenanceAI Ops - MCP server providing AI-powered tools and automation by MEOK AI Labs10MIT
- FlicenseNot gradedqualityCmaintenanceEcho tool MCP server that extracts and logs W3C Trace Context from requests to verify propagation from Claude Code.
- FlicenseNot gradedqualityCmaintenanceCompresses log files into templates and statistics using Drain3, and exposes them to AI assistants via an MCP server for efficient log monitoring and anomaly detection.
- FlicenseNot gradedqualityBmaintenanceEnables read-only Kubernetes incident investigation through MCP tools for listing pods, describing resources, fetching logs, and searching runbooks.1
- FlicenseNot gradedqualityCmaintenanceA persistent activity log server that allows MCP-compatible AI assistants to log events, decisions, and system logs over HTTP, with a built-in web dashboard for monitoring and searching logs.
@verlon-ai/mcpofficial
AlicenseAqualityBmaintenanceModel Context Protocol server for Verlon AI that exposes gates, logs, recommendations, and experiments as MCP tools, enabling coding agents to inspect and manage AI infrastructure natively.5163MIT- AlicenseAqualityCmaintenanceMCP server that provides read-only analysis of Claude Code session transcripts, enabling queries about project activity, session details, and tool usage.3MIT
- AlicenseAqualityCmaintenanceFetches Langfuse observability traces directly into a VS Code coding agent's context, enabling querying and viewing trace data through natural language.31MIT
- FlicenseAqualityCmaintenanceEnables AI agents to manage prompts and sessions via the ai-agent-logs API, with tools for health checks, login, listing/creating prompts, and retrieving sessions.6
- AlicenseAqualityBmaintenanceEnables observability and governance for local LLMs via Ollama, including auditing model usage, scanning prompts for secrets/PII, and enforcing allow/deny policies.21MIT
- AlicenseAqualityDmaintenanceEnables LLMs to query telemetry data via the Spyglass AI agent, providing intelligent insights about application performance, errors, and bottlenecks.1MIT
