$ loading_
Monitor structured data changes and let agents pull real incremental updates.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "waste-for-agents" yet — see the docs or source repo.
Use waste-for-agents to monitor a city government's open dataset for business registration records, and pull additions, deletions, and field changes since the last cursor, sorted by time.
A list of real mutations since the last check, including change type, record ID, modified fields, and chronological order.
Use waste-for-agents to create a polling flow for my AI agent: fetch only inventory data changes after the last cursor each time, and output standardized update events for downstream processing.
Cursor-based incremental change results that can be consumed directly by automation workflows or downstream systems.
Using waste-for-agents, inspect all changes in this structured data source since the last sync, identify any unusually large deletions or concentrated edits to key fields, and summarize them.
Detailed mutations plus a summary of unusual changes, helping quickly assess whether important shifts occurred in the data source.
Chat with an AI agent, get weather data, and monitor agent status via MCP.
Find and compare MCP servers for AI finance agent workflows.
Enable AI agents to query, explore, and manage Metabase data and content.
Register, discover, rate, and manage AI agents and services locally.
Create, manage, and compose AI agents for MCP-compatible clients and tools.
Add agentic tools with iterative reasoning and tool use to apps