This simple implementation demonstrates Anthropic's Model Context Protocol (MCP) integration with AWS Bedrock, allowing you to interact with MCP-enabled tools through AWS Bedrock's runtime service.
uv pip install boto3
uv run client_stdio.py
uv pip install boto3 uvicorn
uv run mcp-simple-tool --transport sse --port 8000
uv run client_sse.py
When you run the client, it performs the following actions:
The STDIO mode provides a simple way to interact with MCP tools through standard input/output.
uv run client_stdio.py
The Server-Sent Events (SSE) mode enables asynchronous communication:
Start the server:
uv run mcp-simple-tool --transport sse --port 8000
Run the client:
uv run client_sse.py
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"cursor-rules-mcp": {
"command": "npx",
"args": [
"-y",
"cursor-rules-mcp"
]
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.