From 49963e3bbf810ce802bebf8b982fa24339c2f4dc Mon Sep 17 00:00:00 2001 From: Frank Fiegel Date: Tue, 26 May 2026 20:55:01 -0400 Subject: [PATCH] Fix entry formatting --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index c10a4e1f5..28709effd 100644 --- a/README.md +++ b/README.md @@ -1893,7 +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) 🏎️ ☁️ 🏠 🐧 πŸͺŸ 🍎 - 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) 🏎️ ☁️ 🏠 🍎 πŸͺŸ 🐧 - 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. +- [Jwrede/llmprobe](https://github.com/Jwrede/llmprobe) [![Jwrede/llmprobe MCP server](https://glama.ai/mcp/servers/Jwrede/llmprobe/badges/score.svg)](https://glama.ai/mcp/servers/Jwrede/llmprobe) 🏎️ ☁️ 🏠 🍎 πŸͺŸ 🐧 - 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 contextβ€”logs, metrics, and tracesβ€”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) β˜• ☁️ - 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)