Context Keeper
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Context Keeperwhat was I just working on?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Context Keeper
An MCP server that gives Alexa+ persistent context memory across interactions.
Problem
Alexa+ is stateless by default. Ask a question, get an answer, and five minutes later that context is gone. You have to repeat yourself. This is a real friction point when using voice while cooking, working, or driving.
Related MCP server: Personal Context Technology MCP Server
Solution
Context Keeper is a self-hosted MCP server built with FastMCP (Python) that maintains a lightweight per-user context thread across separate Alexa+ interactions. It uses the Streamable HTTP transport, spec 2025-11-25+.
Tools Exposed
start_context(user_id, topic)— begins a new context threadquery_context(user_id)— retrieves the current context threadlist_contexts()— lists all active context threads
How It Works
The server registers three MCP tools via the @mcp.tool() decorator.
When an Alexa+ agent calls query_context, it receives the user's
current topic and history, then answers with continuity folded in.
Run It
uv add fastmcp
uv run server.pyThis server cannot be deployed
Maintenance
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