AI Agent Context Graph by Akto
Context Graphs for your AI Agents, MCPs and LLMs.
What it does
As Agentic AI adoption rises in organizations, most security teams lack visibility into data flows and context of the AI agents built or used by teams. Akto changes that. The Agent Context Graph auto-discovers and maps your entire agentic system - agents, MCP servers, LLMs, databases, and external APIs, in one live view so you can understand data flow and assess security impact at a glance. Get complete context of your AI agents in Akto!
Does the same job
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Hey HN! A few months ago we shared mcp-agent (https://github.com/lastmile-ai/mcp-agent) [1][2], a lightweight framework that implements every agent pattern from Anthropic’s Building Effective Agents blog [3] and handles MCP server/client management seamlessly. Our core bet is that connecting LLMs to tools, resources, and external systems will soon be MCP-native by default. Today we're launching a significant update: Agents as MCP servers. Currently "agentic" behavior exists only on the MCP client side – clients like Claude or Cursor use MCP servers to solve tasks.…
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