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Propeller is an opinionated platform that enables realtime and bidirectional communication between frontend and backend clients.
While polling and REST-style request-response have been the dominant paradigms for client-server communication, they inherently come with limitations that can impact performance, scalability, and user experience. 1. Increased Latency: Polling intervals often dictate the minimum latency for receiving updates, limiting real-time responsiveness. 2. Resource Consumption: Each polling request requires server resources to process, even if there's no new data. 3. Retry Storms: In case of widespread failures or degradations, a large number of clients may initiate retries simultaneously, overwhelming the server. 4. Scalability Constraints: As the number of clients and polling frequency increase, server load can become a significant bottleneck.
Propeller is built on top of the following battle-tested technologies to power realtime experiences: 1. bi-directional gRPC: Propeller uses bi-directional streaming gRPC to establish a stream between the client and the server. 2. Redis and NATS: Propeller supports Redis and NATS as brokers for the communication. 3. Golang: Propeller uses the power of Golang to achieve high number of concurrent clients being connected.
Please refer https://cred-club.github.io/propeller/ for further documentation on getting started, testing, design etc.
$ claude mcp add propeller \
-- python -m otcore.mcp_server <graph>