105 Interest Score
9 Discussions
0.09 Engagement
Jun 2025 Launched

The Model Context Protocol connects AI models with first class APIs such as GitHub, Shopify and MongoDB (and thousands more…) systemprompt.io is the world's first Mobile application to put this power in your pocket, controlled by natural voice commands.

What the Community Said

I couldn't be more excited to announce the launch of systemprompt.io MCP client. The worlds first voice controlled app for managing Model Context Protocol (MCP) servers from your mobile. We put the power of AI Agents directly in your pocket, transforming how developers and DevOps professionals interact with their infrastructure. Imagine effortlessly controlling your AI agents, checking GitHub pull requests, triaging Sentry errors, or even monitoring Reddit discussions, all with simple voice comm

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Do this app has a mobile version?

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I love how systemprompt.io brings together advanced AI voice recognition with mobile accessibility, making it easier for developers and DevOps professionals to stay on top of their work anytime, anywhere. How well does the app handle custom integrations with third-party APIs, and can it be extended to monitor more platforms beyond GitHub and Sentry?"

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πŸŽ™οΈπŸ“± Just saw #systempromptMCP launch β€” voice-controlled MCP client for iOS & Android? That’s next-level multitasking! πŸ”§πŸ§  Curious how smooth the command handling is in real use. πŸ€–πŸ’¬

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@ejb503 I think the voice-first mobile control for MCP servers is great, it's very practical! I would like to know how you are managing possible security threats such as privilege escalation, prompt injection attacks, and unauthorized network exposure. These have been identified as critical MCP vulnerabilities by prompt security research.

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Frequently Asked Questions

The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.

Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

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