ashitaprasad

ashitaprasad / sample-mcp-apps-chatflow

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Source for article "How I built MCP Apps based Sales Analytics Agentic UI & deployed it on Amazon Bedrock AgentCore" - https://dev.to/aws/how-i-built-mcp-apps-based-sales-analytics-agentic-ui-deployed-it-on-amazon-bedrock-agentcore-4e9i

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11
3
100% credibility
Found Apr 03, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Sample chatflow server that displays interactive sales analytics panels for selecting regions and metrics, viewing charts, and downloading PDF reports within compatible AI chat interfaces.

How It Works

1
🔍 Discover the sales chat tool

You come across this free sample online that brings interactive sales charts right into your AI chat conversations.

2
💻 Get it running on your computer

Download and start the helper program with a few simple clicks following the guide.

3
🔗 Connect to your AI chat

Point your chat app to the running helper so they can work together seamlessly.

4
💬 Chat about your sales data

Tell your AI you want insights on sales by region, and handy selection panels appear inside the chat.

5
🗺️ Pick regions, metrics, and time

Choose Indian states, sales stats like revenue or orders, plus monthly or quarterly views.

6
📈 See live charts and summaries

Beautiful interactive graphs pop up showing trends, top performers, and breakdowns that update as you explore.

7
📄 Make a PDF report

Hit generate to create a polished document with all your charts and tables included.

✅ Download your report

Grab the ready-to-share PDF for your team meetings or records, all done without leaving the chat.

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AI-Generated Review

What is sample-mcp-apps-chatflow?

This TypeScript MCP server embeds interactive sales analytics UIs directly into AI agent chatflows, letting users select Indian states, metrics like revenue or conversion rate, view charts, and download PDF reports—all without leaving the chat. It solves the problem of clunky agent-tool handoffs by rendering full dashboards via MCP Apps protocol. Source code accompanies a dev.to article series on deploying to Amazon Bedrock AgentCore, complete with local npm run dev setup and VS Code integration.

Why is it gaining traction?

It delivers a complete agentic workflow—data selection, visualization, PDF export—in a chat-native UI, outshining basic text-only agent tools. The GIF demo and hot-reload server hook devs fast, while Bedrock deployment instructions make production viable. Ties into agentcore trends for interactive AI, like github article generator flows but for sales data.

Who should use this?

AI workflow builders prototyping analytics agents in chat apps, especially sales teams needing quick regional breakdowns. Bedrock users wanting MCP Apps examples beyond simple queries. Devs following dev.to guides on agentcore UIs for custom dashboards.

Verdict

Grab this as a practical MCP Apps template if you're into agentcore or Bedrock—strong README, demo, and articles lower the entry barrier. With 11 stars and 1.0% credibility, it's immature but constructive for early experiments; fork and extend rather than productionize yet.

(198 words)

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