{"library":"awslabs-eks-mcp-server","type":"library","category":null,"description":"The `awslabs-eks-mcp-server` package provides a Python-based server implementation for the Model Context Protocol (MCP), designed specifically for AWS EKS environments. It enables machine learning models to be served and managed efficiently within Kubernetes. As an AWS Labs 'sample' project, it demonstrates best practices and patterns but may not carry the same long-term support or stability guarantees as official AWS SDKs. The current version is `0.1.27`, with a release cadence that reflects ongoing development in a pre-1.0 state.","language":"python","status":"active","version":"0.1.27","tags":["aws","eks","kubernetes","mcp","server","fastapi","machine-learning","sample"],"install":[{"cmd":"pip install awslabs-eks-mcp-server","imports":["from awslabs.eks_mcp_server.server import ModelContextProtocolServer"]},{"cmd":"pip install uvicorn[standard]","imports":[]}],"homepage":"https://awslabs.github.io/mcp/","github":"https://github.com/awslabs/mcp","docs":"https://awslabs.github.io/mcp/servers/eks-mcp-server/","changelog":"https://github.com/awslabs/mcp/blob/main/src/eks-mcp-server/CHANGELOG.md","pypi":"https://pypi.org/project/awslabs-eks-mcp-server/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":90,"avg_install_s":8.3,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/awslabs-eks-mcp-server/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}