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In this project, we’ll build a multi-agent system that collects news, weather, finance, and media data, then uses an LLM to generate a daily brief, delivered via a Streamlit app with real-world API integration.
Build-a-Multi-Agent-System-with-MCP-and-A2A is an MCP server entry in ChatHome Skills, sourced from GitHub MCP Search and scored 45/100. In this project, we’ll build a multi-agent system that collects news, weather, finance, and media data, then uses an LLM to generate a daily brief, delivered vi. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Build-a-Multi-Agent-System-with-MCP-and-A2A to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
git clone https://github.com/zubairtechai-droi/Build-a-Multi-Agent-System-with-MCP-and-A2A.gitReview the upstream source before running this command.
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{
"fullName": "zubairtechai-droi/Build-a-Multi-Agent-System-with-MCP-and-A2A"
}In this project, we’ll build a multi-agent system that collects news, weather, finance, and media data, then uses an LLM to generate a daily brief, delivered via a Streamlit app with real-world API integration.