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Merge pull request #3235 from Oluwatunmise-olat/add-mcp-server-logs-sieve
Add mcp-server-logs-sieve to Monitoring section
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@@ -1376,6 +1376,7 @@ Access and analyze application monitoring data. Enables AI models to review erro
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- [MindscapeHQ/server-raygun](https://github.com/MindscapeHQ/mcp-server-raygun) 📇 ☁️ - Raygun API V3 integration for crash reporting and real user monitoring
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- [mpeirone/zabbix-mcp-server](https://github.com/mpeirone/zabbix-mcp-server) 🐍 ☁️ 🐧 🪟 🍎 - Zabbix integration for hosts, items, triggers, templates, problems, data and more.
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- [netdata/netdata#Netdata](https://github.com/netdata/netdata/blob/master/src/web/mcp/README.md) 🎖️ 🏠 ☁️ 📟 🍎 🪟 🐧 - Discovery, exploration, reporting and root cause analysis using all observability data, including metrics, logs, systems, containers, processes, and network connections
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- [Oluwatunmise-olat/mcp-server-logs-sieve](https://github.com/Oluwatunmise-olat/mcp-server-logs-sieve) [](https://glama.ai/mcp/servers/Oluwatunmise-olat/mcp-server-logs-sieve) 📇 ☁️ 🏠 🍎 🪟 🐧 - Query, summarize, and trace logs in plain English across GCP Cloud Logging, AWS CloudWatch, Azure Log Analytics, Grafana Loki, and Elasticsearch
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- [pydantic/logfire-mcp](https://github.com/pydantic/logfire-mcp) 🎖️ 🐍 ☁️ - Provides access to OpenTelemetry traces and metrics through Logfire
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- [seekrays/mcp-monitor](https://github.com/seekrays/mcp-monitor) 🏎️ 🏠 - A system monitoring tool that exposes system metrics via the Model Context Protocol (MCP). This tool allows LLMs to retrieve real-time system information through an MCP-compatible interface.(support CPU、Memory、Disk、Network、Host、Process)
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- [speedofme-dev/speedofme-mcp](https://www.npmjs.com/package/@speedofme/mcp) 📇 ☁️ 🍎 🪟 🐧 - Official SpeedOf.Me server for accurate internet speed tests via 129 global Fastly edge servers with analytics dashboard and local history
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