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Fix entry formatting
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@@ -1491,7 +1491,7 @@ Access and analyze application monitoring data. Enables AI models to review erro
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- [hyperb1iss/lucidity-mcp](https://github.com/hyperb1iss/lucidity-mcp) 🐍 🏠 - Enhance AI-generated code quality through intelligent, prompt-based analysis across 10 critical dimensions from complexity to security vulnerabilities
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- [hyperb1iss/lucidity-mcp](https://github.com/hyperb1iss/lucidity-mcp) 🐍 🏠 - Enhance AI-generated code quality through intelligent, prompt-based analysis across 10 critical dimensions from complexity to security vulnerabilities
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- [iris-eval/mcp-server](https://github.com/iris-eval/mcp-server) [](https://glama.ai/mcp/servers/iris-eval/mcp-server) 📇 ☁️ 🏠 🍎 🪟 🐧 - MCP-native agent evaluation and observability server with trace logging, output quality evaluation, cost tracking, 12 built-in eval rules, real-time dashboard, and PII detection.
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- [iris-eval/mcp-server](https://github.com/iris-eval/mcp-server) [](https://glama.ai/mcp/servers/iris-eval/mcp-server) 📇 ☁️ 🏠 🍎 🪟 🐧 - MCP-native agent evaluation and observability server with trace logging, output quality evaluation, cost tracking, 12 built-in eval rules, real-time dashboard, and PII detection.
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- [imprvhub/mcp-status-observer](https://github.com/imprvhub/mcp-status-observer) 📇 ☁️ - Model Context Protocol server for monitoring Operational Status of major digital platforms in Claude Desktop.
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- [imprvhub/mcp-status-observer](https://github.com/imprvhub/mcp-status-observer) 📇 ☁️ - Model Context Protocol server for monitoring Operational Status of major digital platforms in Claude Desktop.
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- [ingero-io/ingero](https://github.com/ingero-io/ingero) [glama](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.
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- [ingero-io/ingero](https://github.com/ingero-io/ingero) [](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.
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- [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.
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- [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.
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- [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
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- [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
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- [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
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- [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
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