Kong/kong
Kong Gateway is a cloud-native, scalable API gateway that manages API, AI LLM, and Model Context Protocol (MCP) traffic with advanced security, observability, and extensibility features.
aws/mcp-proxy-for-aws
mcp-proxy-for-aws is an AWS-published package that connects AI applications to MCP servers hosted on AWS, for example servers exposed through Amazon Bedrock AgentCore, which authenticate with AWS IAM rather than OAuth. The MCP specification covers OAuth-based authentication, and ordinary MCP clients have no way to sign requests with AWS credentials, so the package fills that gap. It can be used in two ways. As a proxy it runs as a lightweight local bridge: an MCP client such as Claude Desktop or Kiro CLI launches it as a stdio server, and the proxy forwards calls to a remote SigV4 endpoint, signing each request with credentials taken from the AWS CLI configuration, environment variables or an IAM role, and discovering the upstream tools dynamically. As a library it can be imported into Python applications so that agent frameworks including LangChain, LlamaIndex and Strands Agents can talk to IAM-secured MCP servers with direct control over the MCP session lifecycle. The proxy is normally started with uvx, passing the SigV4 MCP endpoint URL as its only required argument, and the README recommends pinning an explicit version rather than using latest. It can also be run from a local clone with uv, or from Docker images published to a public Amazon ECR registry. Configuration flags include --service to set the AWS service name for signing when it cannot be inferred from the URL, --profile which accepts several AWS profiles and enables per-call switching through an aws_profile tool parameter, --region, --metadata for injecting key-value pairs into MCP requests, --read-only to hide tools that are not annotated with readOnlyHint, --retries and --log-level. Python 3.10 or newer and the uv package manager are prerequisites.
https://github.com/aws/mcp-proxy-for-aws
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