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Amazon Bedrock integration

Amazon Bedrock runtime and control plane: invoke any foundation model hosted on Bedrock, hold multi-turn conversations through the unified Converse API, generate embeddings, run guardrail checks, query a knowledge base with retrieval-augmented generation, and list the models and inference profiles available in the region. Authentication is AWS SigV4 with the region and the signing service name carried by the credential; the service name is always bedrock, including on the bedrock-runtime and bedrock-agent-runtime hosts.

8 toolsCustom authAPI docs
Connect Amazon BedrockHow integrations work

Common Amazon Bedrock use cases

  • discovering the exact model ids a region serves
  • using a vendor feature Converse does not expose
  • resolving the id a recent model must be called with
  • feeding retrieved context into a model of your choice
  • a support assistant grounded in internal documentation
  • screening user input before it reaches an expensive model
  • checking whether a model supports streaming before wiring it
  • running an LLM inside an AWS account for data-residency reasons
  • spreading load across regions
  • showing sources alongside an answer

What you can do with Amazon Bedrock

Each of these is one operation on one endpoint, available both as a workflow step and as a tool an AI agent can call on its own. Nothing bundles several operations into one action, so what a run did stays readable afterwards.

Most endpoints run on the free plan. A few, mainly the ones that publish on your behalf, need a paid plan.

Model, 3 operations

  • GETget_foundation_model

    Retrieves the details of one Bedrock foundation model.

  • POSTinvoke_model

    Invokes a Bedrock model with its native vendor-specific request body.

  • GETlist_foundation_models

    Lists the Bedrock foundation models available in the region.

Knowledge base, 2 operations

  • POSTretrieve_and_generate

    Answers a question from a Bedrock knowledge base with citations.

  • POSTretrieve_from_knowledge_base

    Retrieves matching passages from a Bedrock knowledge base without generating an answer.

Conversation, 1 operation

  • POSTconverse

    Runs a conversation against any Bedrock model through the unified Converse API.

Guardrail, 1 operation

  • POSTapply_guardrail

    Screens text against a Bedrock guardrail without invoking a model.

Inference profile, 1 operation

  • GETlist_inference_profiles

    Lists Bedrock inference profiles, including cross-region routing profiles.

Use Amazon Bedrock from Claude Code, Cursor or Codex

Connect Amazon Bedrock in LiveContext, create an API key in Settings, then add the LiveContext MCP server to your client. Its Amazon Bedrock operations become tools the client can call, next to every other integration you connected.

Claude Code
claude mcp add --transport http livecontext https://livecontext.ai/mcp --header "X-API-Key: YOUR_API_KEY"
Codex (~/.codex/config.toml)
[mcp_servers.livecontext]
url = "https://livecontext.ai/mcp"

[mcp_servers.livecontext.http_headers]
"X-API-Key" = "YOUR_API_KEY"
Cursor, Claude Desktop and other JSON configs
{
  "mcpServers": {
    "livecontext": {
      "type": "http",
      "url": "https://livecontext.ai/mcp",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Set up the MCP server step by step

How to connect Amazon Bedrock

  1. Create your workspace

    Sign up free. Nothing to install.

  2. Connect Amazon Bedrock once

    Add your Amazon Bedrock connection in Settings. Every tool from this integration reuses it, and secrets are encrypted at rest and visible only to you.

  3. Describe the job in chat

    The workflow builds itself in front of you and picks the endpoints it needs. Drag the steps yourself on the canvas whenever you would rather be explicit.

Amazon Bedrock integration FAQ

What can you do with the Amazon Bedrock integration?
LiveContext exposes 8 operations on Amazon Bedrock, covering model, knowledge base, conversation and guardrail. Common uses include discovering the exact model ids a region serves, using a vendor feature Converse does not expose and resolving the id a recent model must be called with.

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