Claude CodeからAgentCoreゲートウェイ経由でMCPサーバーを構築する方法This article explains how to build an MCP server accessible from Claude Code by…

The Model Context Protocol (MCP) has quickly become a common way to connect AI assistants to external tools and data, and this article walks through a specific integration pattern: exposing an MCP server to Anthropic's Claude Code by routing requests through the Amazon Bedrock AgentCore gateway. The approach matters because it moves authentication, access control, and tool management out of individual clients and into a shared layer, which can simplify operations when multiple agents or developers need the same set of tools.

MCP, originally introduced by Anthropic, is an open standard that defines how AI applications discover and call external functions, retrieve resources, and use prompts. An MCP server publishes a set of tools, and an MCP client such as Claude Code connects to that server to invoke them. Claude Code is Anthropic's terminal-based agentic coding tool, and it supports adding MCP servers so the assistant can reach beyond its built-in capabilities to interact with APIs, databases, or internal services. Configuring these connections directly on each client works, but it tends to scatter credentials and configuration across many machines.

AgentCore is Amazon's suite for building and running AI agents, and the gateway component is designed to turn existing APIs, AWS Lambda functions, and other backends into MCP-compatible tools. In the pattern described here, the gateway sits between Claude Code and the underlying tool implementations. Rather than pointing Claude Code at a self-hosted MCP server, you register your target services with the AgentCore gateway, and the gateway presents them through an MCP endpoint. Claude Code then connects to that endpoint as it would to any other MCP server.

The main practical advantage highlighted in the summary is centralized authentication and management. Because the gateway mediates every request, credentials and authorization policies can be enforced in one place instead of being duplicated in each developer's local setup. AgentCore typically relies on OAuth-style token flows and an identity layer to validate callers, so access can be granted or revoked centrally. This also makes it easier to audit which tools are available, apply consistent naming, and update backend implementations without asking every user to reconfigure their client. The trade-off, which the article appears to treat as acceptable for many teams, is added dependency on AWS-hosted infrastructure and the configuration steps needed to wire the gateway up.

A typical setup along these lines involves several prerequisites. You need an AWS account with access to Bedrock AgentCore, the tools or APIs you want to expose, and an identity provider or token mechanism the gateway can trust. The workflow generally includes defining the target endpoints, creating a gateway that maps them to MCP tools, and obtaining the endpoint URL and any authentication details. On the Claude Code side, you register the gateway as an MCP server, supplying the endpoint and the credentials or headers required for the handshake. Once connected, the tools surfaced by the gateway become available to the assistant during a session.

It is worth situating this within the broader ecosystem. Since MCP's release, a growing number of clients and hosts have added support, including desktop assistants, IDEs, and other agent frameworks, and many organizations now publish MCP servers for services ranging from source control to observability platforms. Cloud providers have responded with managed offerings that reduce the operational burden of hosting these servers; AgentCore is Amazon's entry, while comparable capabilities exist in other agent-building stacks. Gateways and proxies for MCP are an emerging category precisely because production deployments raise questions about security, rate limiting, and centralized policy that a bare server does not address on its own.

Readers considering this pattern should verify current details against official documentation, since both MCP and AgentCore are evolving and specifics such as supported authentication methods, transport options, and available regions may change. The transport used between client and gateway, for example, has shifted across MCP revisions, and features labeled preview or generally available can differ over time. For teams already invested in AWS, routing Claude Code through an AgentCore gateway is likely to be an appealing way to consolidate tool access, provided the added latency and vendor coupling fit their requirements. For smaller or purely local use cases, a directly hosted MCP server may remain simpler.