This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Kavach MCP Security is a security middleware for MCP servers and AI agents. It inspects tool calls before execution to detect prompt injections, secret exposure, sensitive data leaks, and unsafe actions. Developers can enforce security policies, rate limits, tool access controls, and audit logging with minimal code changes. Built for the growing ecosystem of AI agents, MCP servers, APIs, and autonomous workflows.
Hi Product Hunt 👋
I built Kavach MCP Security after noticing a growing gap in AI agent security.
AI agents can now access databases, file systems, APIs, MCP servers, and external tools. While there are many frameworks for building agents, there are very few solutions focused on securing tool calls before execution.
Kavach acts as a middleware layer between agents and tools. It helps detect prompt injections, exposed secrets, sensitive data leaks, and unauthorized tool access. It also supports policy enforcement, rate limiting, audit logging, and security notifications.
The goal is simple: make AI agents safer without forcing developers to redesign their existing systems.
Would love feedback from developers building AI agents, MCP servers, and autonomous workflows. 🚀
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About Kavach MCP Security on Product Hunt
“Security middleware for AI agents and MCP servers”
Kavach MCP Security was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #101 on the daily leaderboard. Kavach MCP Security is a security middleware for MCP servers and AI agents. It inspects tool calls before execution to detect prompt injections, secret exposure, sensitive data leaks, and unsafe actions. Developers can enforce security policies, rate limits, tool access controls, and audit logging with minimal code changes. Built for the growing ecosystem of AI agents, MCP servers, APIs, and autonomous workflows.
Kavach MCP Security was featured in Open Source (68.5k followers), Developer Tools (514k followers), Artificial Intelligence (471k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 207.4k products, making this a competitive space to launch in.
Who hunted Kavach MCP Security?
Kavach MCP Security was hunted by Shivam Namdeo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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