What data source does the server use?
It uses the public API at `https://api.aws-news.com/articles`, which aggregates AWS blog and news articles across all categories.
@mirecekd
Basic information
This MCP server provides tools for retrieving and filtering AWS blog articles and news from all AWS categories. The server is built using the FastMCP framework and supports SSE transport on port 8807.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"awsblogs-mcp": {
"command": "docker",
"args": [
"run",
"-p",
"8807:8807",
"ghcr.io/mirecekd/awsblogs-mcp"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
AWS Blogs MCP Server is an MCP server that provides tools for retrieving and filtering AWS blog articles and news from all AWS categories via the api.aws-news.com API. Built with the FastMCP framework, it supports SSE transport on port 8807 and is intended for developers and AI agents needing structured access to official AWS content.
Docker is the recommended method: run docker run -p 8807:8807 ghcr.io/mirecekd/awsblogs-mcp or build locally. For local development, install dependencies with pip install -e . and start the server with python main_sse.py --host 0.0.0.0 --port 8807. Configure your MCP client (e.g., Cline) with type: "sse" and URL http://localhost:8807/sse/.
It uses the public API at `https://api.aws-news.com/articles`, which aggregates AWS blog and news articles across all categories.
No. The server communicates with a public API and does not require any credentials or API keys.
The server uses SSE (Server‑Sent Events) on port 8807. Clients must connect via SSE (e.g., `http://localhost:8807/sse/`).
Responses are cached for 5 minutes to reduce load on the upstream API.
The server supports over 40 categories, including Architecture, Machine Learning, Security, Containers, Database, and many more as listed in the README.
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