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Connect AI agents to real-time data streams with persistent reactive pipelines.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "fluxpy" yet — see the docs or source repo.
Use fluxpy to connect to a live market data source, keep a persistent connection, and stream the latest price updates to the AI agent in push mode.
A live stream connection is established and the latest market updates are continuously pushed to the agent.
Use fluxpy to create a reactive operator pipeline for a live event stream, continuously process incoming data, and expose it for AI agent consumption.
A reactive data pipeline is created to continuously process live events.
Use fluxpy to connect to a live data source and switch to pull mode so the AI agent can fetch the latest data when needed.
A live data connection is configured so the agent can fetch updates on demand.
Developers can use it to connect AI agents to live data sources and maintain persistent connections when real-time awareness is required. This lets agents receive ongoing updates instead of one-time inputs.
When teams need to process data before it reaches an agent, they can use its reactive operator pipelines to continuously transform or organize live streams. This is useful for making streaming inputs easier to consume.
If different agents need different access patterns, they can consume data via push, pull, or block modes. This makes it easier to fit push-based, on-demand, or blocking workflows.
It is an MCP server that gives AI agents access to real-time data streaming. Its core features include persistent connections to live feeds, reactive operator pipelines, and consumption through push, pull, or block modes.
The description explicitly states that it supports push, pull, and block modes. You can choose based on whether the agent should receive continuous updates, fetch on demand, or wait in a blocking manner.
The provided material does not include installation steps, runtime requirements, or API key details. Please check the source repository for setup details.
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