{"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"],"last_verified":"Tue May 26","install":[{"cmd":"pip install awslabs-eks-mcp-server","imports":["from mcp_server.server import ModelContextProtocolServer","from mcp_server.provider import ModelProvider"]},{"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"}}