AgentCore MCP Server

AgentCore MCP Server

A stateless MCP server sample for the 2026-07-28 protocol, deployable to Amazon Bedrock AgentCore Runtime and probed via SigV4-signed requests.

Category
访问服务器

README

AgentCore MCP 2026-07-28 sample

A minimal, reproducible sample for exercising the MCP 2026-07-28 (stateless) protocol on Amazon Bedrock AgentCore — both a Runtime-hosted MCP server and a SigV4 probe you can point at a Gateway or a Runtime.

MCP 2026-07-28 makes the protocol stateless: no initialize handshake, no protocol-level Mcp-Session-Id, every request self-contained. The two artifacts here let you see that end to end.

Contents

File What it is
server.py A stateless MCP server built on the mcp Python SDK v2 (MCPServer), ready to deploy to AgentCore Runtime.
requirements.txt Runtime dependencies (mcp>=2.0.0).
mcp_probe.py A tiny SigV4-signed MCP client for probing an AgentCore Gateway /mcp endpoint or a Runtime /invocations endpoint with IAM auth.

Tested with mcp==2.0.0 (LATEST_PROTOCOL_VERSION == "2026-07-28"), bedrock-agentcore==1.19.0, bedrock-agentcore-starter-toolkit==0.3.11, Python 3.13, in us-east-1. Pin your mcp version — a different major version changes the server API (see note below).

The server

server.py uses the v2 high-level API. Note that mcp v2 removed FastMCP — the class is now MCPServer (mcp.server.mcpserver). It serves a stateless streamable-HTTP app at 0.0.0.0:8000/mcp, which is what AgentCore Runtime expects.

Key choices:

  • stateless_http=True — the 2026-07-28 model and the recommended AgentCore default.
  • enable_dns_rebinding_protection=False — the AgentCore front door forwards a non-localhost Host header, so the v2 default host validation must be relaxed for the container.

Run locally

python -m venv .venv && . .venv/bin/activate
pip install -r requirements.txt
python server.py            # serves http://0.0.0.0:8000/mcp

Compare the two protocol shapes locally:

# old protocol -> SSE, no envelope
curl -s http://localhost:8000/mcp \
  -H 'Content-Type: application/json' -H 'Accept: application/json,text/event-stream' \
  -H 'MCP-Protocol-Version: 2025-03-26' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}'

# 2026-07-28 stateless -> plain JSON with resultType/cacheScope envelope
curl -s http://localhost:8000/mcp \
  -H 'Content-Type: application/json' -H 'Accept: application/json,text/event-stream' \
  -H 'MCP-Protocol-Version: 2026-07-28' -H 'Mcp-Method: tools/list' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{"_meta":{
        "io.modelcontextprotocol/protocolVersion":"2026-07-28",
        "io.modelcontextprotocol/clientInfo":{"name":"local","version":"1.0"},
        "io.modelcontextprotocol/clientCapabilities":{}}}}'

Deploy to AgentCore Runtime

Using the starter toolkit's direct_code_deploy (no local container build; IAM inbound auth is the default when you omit a JWT authorizer):

pip install bedrock-agentcore-starter-toolkit
agentcore configure -e server.py -n <agent-name> --protocol MCP \
  -r us-east-1 -rf requirements.txt --non-interactive
agentcore deploy

There is no MCP-version flag on a Runtime — the runtime declares only serverProtocol: MCP. Which MCP versions the server speaks is decided entirely by the mcp SDK version in your requirements.txt.

The probe

mcp_probe.py SigV4-signs a POST (default service bedrock-agentcore) so you can hit IAM-auth AgentCore endpoints with your own credentials — no Cognito/OAuth setup.

pip install boto3

# Point at a Gateway MCP endpoint or a Runtime /invocations URL:
URL="https://<gateway-id>.gateway.bedrock-agentcore.us-east-1.amazonaws.com/mcp"

# 2026-07-28 stateless tools/list
python mcp_probe.py --url "$URL" --proto 2026-07-28 --mcp-method tools/list --method tools/list \
  --meta '{"io.modelcontextprotocol/protocolVersion":"2026-07-28","io.modelcontextprotocol/clientInfo":{"name":"probe","version":"1.0"},"io.modelcontextprotocol/clientCapabilities":{}}'

# tools/call
python mcp_probe.py --url "$URL" --proto 2026-07-28 --mcp-method tools/call --mcp-name add_numbers \
  --method tools/call --name add_numbers --arguments '{"a":2,"b":40}' \
  --meta '{"io.modelcontextprotocol/protocolVersion":"2026-07-28","io.modelcontextprotocol/clientInfo":{"name":"probe","version":"1.0"},"io.modelcontextprotocol/clientCapabilities":{}}'

For a Runtime, use the data-plane URL with the URL-escaped runtime ARN:

https://bedrock-agentcore.us-east-1.amazonaws.com/runtimes/<URL-ESCAPED-ARN>/invocations?qualifier=DEFAULT

Gotchas this sample demonstrates

  • A stateless 2026-07-28 request must carry protocolVersion, clientInfo, and clientCapabilities inside _meta on every call — omit any and you get -32602. A real client SDK does this for you; hand-rolling from an abbreviated example fails.
  • mcp v2 dropped FastMCP → use MCPServer. (Pin mcp>=1.28,<2 if you must keep FastMCP.)
  • v2 DNS-rebinding protection blocks the non-localhost Host behind AgentCore → disable it for the container.
  • On the wire: old protocol responds via SSE with no envelope; 2026-07-28 responds with plain JSON carrying resultType / cacheScope (and structuredContent / ttlMs where applicable).

Prerequisites

  • Python 3.10+ (3.13 tested)
  • AWS credentials in your environment with permission to deploy/invoke AgentCore
  • For probing: an AgentCore Gateway or Runtime configured with IAM (SigV4) inbound auth

References

License

MIT-0. See LICENSE.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选