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io.github.Rajeev-Shyam/quellgeist-metrics

Read-only MCP server: query_metrics over local metric time-series (Quellgeist triage).

Host

GitHub
github.com

Protocols

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Tools

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Uptime

3% over 30 probes

About this host

Join the world's most widely adopted, AI-powered developer platform where millions of developers, businesses, and the largest open source community build software that advances humanity. the operator’s own description, from their site

Also on this host

17,257 other resources published on github.com, newest first.

• hf-cloud-aws-context-discoveryDiscover the user''s local AWS context (active profile, region, account ID, caller identity) at the start of any AWS task.
• hf-cloud-python-env-setupSet up an isolated Python environment for SageMaker / AWS work, with the right Python version and current boto3.
• hf-cloud-sagemaker-deployment-plannerPlan and coordinate the deployment of a model to Amazon SageMaker AI.
• hf-cloud-sagemaker-iam-preflightEnsure a usable SageMaker execution role exists before deploying or training.
• hf-cloud-sagemaker-production-defaultsCreate a SageMaker endpoint (real-time, real-time scale-to-zero, or async) with autoscaling, CloudWatch alarms, and tagging enabled by default.
• hf-cloud-serving-image-selectionPick the right serving container for a SageMaker model deployment and find its current image URI.
• huggingface-bestUse when the user asks about finding the best, top, or recommended model for a task, wants to know what AI model to use, or wants to compare models by
• huggingface-community-evalsRun evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware.

See all 17,258 on this host →

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