What are stateful MCP client capabilities on Amazon Bedrock?

They let MCP servers on AgentCore Runtime request user input (elicitation), LLM generations (sampling), and send progress updates during multi-turn workflows—fixing stateless limits.

How do you enable stateful MCP on Bedrock AgentCore?

Set stateless_http=False in mcp.run(), deploy to runtime. Clients get session IDs for persistence up to 8 hours.

Does stateful MCP replace stateless agent tools?

No—use stateless for simple calls, stateful for interactive ones. Both shine in their lanes.

🛠️ AI Tools

Amazon Bedrock's Stateful MCP: From Silent Tools to Chatty Agents

Picture your AI agent grinding through a task, then halting to ping you for clarification. Amazon Bedrock's stateful MCP client capabilities on AgentCore Runtime make that real, bridging the gap from one-shot tools to ongoing dialogues.

theAIcatchup Apr 09, 2026 3 min read

Illustration of bidirectional MCP session flow on Amazon Bedrock AgentCore Runtime with microVM isolation

⚡ Key Takeaways

Stateful MCP on Bedrock enables true bidirectional agent chats with elicitation, sampling, and progress streams. 𝕏
One-flag flip provisions isolated microVMs per session, mirroring web's persistent connection shift. 𝕏
This positions Bedrock as production agent kingpin, with open MCP spec easing multi-cloud plays. 𝕏

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#AI agents #AgentCore Runtime #Amazon Bedrock #MCP protocol #Stateful MCP #stateful AI agents

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Originally reported by AWS Machine Learning Blog

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