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.
Magg is a Python MCP aggregator: it connects to a set of backend MCP servers and republishes their combined tools, resources and prompts through a single MCP endpoint, so a client configures one server instead of a dozen. Naming collisions between backends are handled by prefixing, so two servers each offering a search tool remain distinguishable. Server management is dynamic rather than static configuration only — servers can be added, removed and reloaded while Magg is running, which is what makes it usable as a long-lived shared endpoint rather than something restarted for every change. It is built on FastMCP with Pydantic v2 models for its configuration and message validation, and speaks MCP over JSON-RPC to both sides. Distribution covers PyPI as magg, tagged GitHub releases, and Docker with a compose file for running it as a service alongside the backends it aggregates. Because every call passes through Magg, it is also the natural place to see what a client actually invoked across all backend servers. The audience is people who run many MCP servers and want one endpoint per client — particularly useful where the client is awkward to reconfigure, or where several clients and users should share one curated server set.
https://github.com/sitbon/magg
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.
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