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Merge pull request #6464 from Jwrede/add-llmprobe

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Add llmprobe MCP server
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Frank Fiegel
2026-05-26 20:54:58 -04:00
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@@ -1893,6 +1893,7 @@ Access and analyze application monitoring data. Enables AI models to review erro
- [ingero-io/ingero](https://github.com/ingero-io/ingero) [![ingero-io/ingero MCP server](https://glama.ai/mcp/servers/ingero-io/ingero/badges/score.svg)](https://glama.ai/mcp/servers/ingero-io/ingero) 🏎️ 🏠 🐧 - eBPF-based GPU causal observability agent with MCP server. Traces CUDA Runtime/Driver APIs and host kernel events to build causal chains explaining GPU latency.
- [inspektor-gadget/ig-mcp-server](https://github.com/inspektor-gadget/ig-mcp-server) 🏎️ ☁️ 🏠 🐧 🪟 🍎 - Debug your Container and Kubernetes workloads with an AI interface powered by eBPF.
- [inventer-dev/mcp-internet-speed-test](https://github.com/inventer-dev/mcp-internet-speed-test) 🐍 ☁️ - Internet speed testing with network performance metrics including download/upload speed, latency, jitter analysis, and CDN server detection with geographic mapping
- [Jwrede/llmprobe](https://github.com/Jwrede/llmprobe) 🏎️ ☁️ 🏠 🍎 🪟 🐧 - Synthetic monitoring for LLM inference endpoints. Measure TTFT, latency, throughput, and errors across OpenAI, Anthropic, Google, Azure, Bedrock, and local servers (vLLM, SGLang, Ollama). CLI + MCP server with Prometheus and OpenTelemetry export.
- [last9/last9-mcp-server](https://github.com/last9/last9-mcp-server) - Seamlessly bring real-time production context—logs, metrics, and traces—into your local environment to auto-fix code faster
- [lodordev/mcp-tautulli](https://github.com/lodordev/mcp-tautulli) [![mcp-tautulli MCP server](https://glama.ai/mcp/servers/lodordev/mcp-tautulli/badges/score.svg)](https://glama.ai/mcp/servers/lodordev/mcp-tautulli) 🐍 🏠 - Tautulli (Plex media server monitoring) with 11 read-only tools for activity, history, library stats, user stats, transcode analysis, and resolution breakdowns.
- [log-logn/langfuse-mcp-java](https://github.com/Log-LogN/langfuse-mcp-java) [![langfuse-mcp-java MCP server](https://glama.ai/mcp/servers/Log-LogN/langfuse-mcp-java/badges/score.svg)](https://glama.ai/mcp/servers/Log-LogN/langfuse-mcp-java) ☕ ☁️ - Query Langfuse traces, debug exceptions, analyze sessions, scores, datasets, schema, observations and manage prompts. Full observability toolkit for LLM applications. (https://github.com/langfuse/langfuse)