AWS Bedrock
About
Integrates AWS Bedrock, enabling natural language processing and task automation.
Details
- Author
- davidshtian
- Repository
- davidshtian/MCP-on-AWS-Bedrock
- GitHub stars
- 40
- License
- MIT License
- Categories
- Productivity, Design, Developer Tools, AI, Frontend, Project Management
- Tags
- #integration
Jump to
- Seamless integration with AWS Bedrock runtime using Converse API
- Tool format conversion for Bedrock compatibility
- Asynchronous communication handling
- Structured logging for debugging
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
AWS BedrockCommand (node, npx, python, etc.)npxArguments-
Argument 1
-y -
Argument 2
@highlight/mcp-server
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Run the server with default stdio settings (no transport parameter):
```bash
uv run fetch_url_mcp_server.py
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"aws bedrock": {
"env": {},
"args": [
"-y",
"@highlight/mcp-server"
],
"command": "npx"
}
}
}Linux
{
"env": [],
"args": [
"-y",
"@highlight/mcp-server"
],
"command": "npx"
}Macos
{
"env": [],
"args": [
"-y",
"@highlight/mcp-server"
],
"command": "npx"
}Windows
{
"env": [],
"args": [
"/c",
"npx",
"-y",
"@highlight/mcp-server"
],
"command": "cmd"
}MCP on AWS Bedrock
A simple and clear example for implementation and understanding Anthropic MCP (on AWS Bedrock).<a href="https://glama.ai/mcp/servers/cuhom1oc17">
</a>
> For multiple MCP servers management, this tiny project Q-2001 could be referred~
Overview
This project demonstrates how to implement and use Anthropic's Model Context Protocol (MCP) with AWS Bedrock. It provides a client implementation that can interact with MCP-enabled tools through AWS Bedrock's runtime service.Updates 2025-05-10: Streamable HTTP
- Add support for Streamable HTTP
- Rewrite the URL fetching MCP server fetch_url_mcp_server.py that demonstrates different transport types
Usage Instructions
Run the server with default stdio settings (no transport parameter):
```bash
uv run fetch_url_mcp_server.py
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