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Merge pull request #9090 from arnavranjan005/add-mcp-telemetry
Add mcp-telemetry to Monitoring
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@@ -2266,6 +2266,7 @@ Access and analyze application monitoring data. Enables AI models to review erro
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- [alilxxey/openobserve-community-mcp](https://github.com/alilxxey/openobserve-community-mcp) [](https://glama.ai/mcp/servers/alilxxey/openobserve-community-mcp) 🐍 🏠 🍎 🪟 🐧 - Read-only MCP server for OpenObserve Community Edition via REST API. Search logs, traces, stream schemas, and dashboards without requiring the Enterprise license.
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- [Alog/alog-mcp](https://github.com/saikiyusuke/alog-mcp) 📇 ☁️ - AI agent activity logger & monitor MCP server with 20 tools. Post logs, create articles, manage social interactions, and monitor AI agent activities on the Alog platform.
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- [antonio-mello-ai/mcp-redis-monitor](https://github.com/antonio-mello-ai/mcp-redis-monitor) [](https://glama.ai/mcp/servers/antonio-mello-ai/mcp-redis-monitor) 🐍 🏠 - Read-only Redis monitoring — queue depths by type, Celery queue status, connected clients, server/memory stats, and key counts per database. 5 tools, built with FastMCP. Install: `uvx mcp-redis-monitor`.
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- [arnavranjan005/mcp-telemetry](https://github.com/arnavranjan005/mcp-telemetry) [](https://glama.ai/mcp/servers/arnavranjan005/mcp-telemetry) 📇 🏠 🍎 🪟 🐧 - Socket.IO-style telemetry for MCP servers. Instrument a tool call with a few lines of `mcp-telemetry-sdk`, and `telemetry_subscribe` streams its live progress (steps, logs, cost, done) to any connected MCP client via `notifications/progress` — no polling, and a job started in one session can be watched from a completely different one.
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- [avivsinai/langfuse-mcp](https://github.com/avivsinai/langfuse-mcp) 🐍 ☁️ - Query Langfuse traces, debug exceptions, analyze sessions, and manage prompts. Full observability toolkit for LLM applications.
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- [alimuratkuslu/byok-observability-mcp](https://github.com/alimuratkuslu/byok-observability-mcp) [](https://github.com/alimuratkuslu/byok-observability-mcp) 📇 🏠 ☁️ 🍎 🪟 🐧 - Comprehensive MCP server for Grafana, Prometheus, Kafka UI, and Datadog with a secure "Bring Your Own Key" or BYOK model.
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- [bmdhodl/agent47](https://github.com/bmdhodl/agent47) [](https://glama.ai/mcp/servers/bmdhodl/agent47) 📇 ☁️ - Runtime guardrails and incident read access for coding agents. Query AgentGuard traces, alerts, usage, costs, and budget health.
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