ContextStream
About
Persistent memory and cross-session learning for AI coding assistants. Cloud-based context management via MCP.
Details
- Transport
- SSE
- License
- MIT
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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
ContextStreamCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"contextstream": {
"contextstream": {
"type": "http",
"url": "https://mcp.contextstream.io/mcp?default_context_mode=fast"
}
}
}
}McpServers
{
"contextstream": {
"type": "http",
"url": "https://mcp.contextstream.io/mcp?default_context_mode=fast"
}
}Persistent project memory and semantic code search for AI coding agents. Connect to ContextStream’s hosted production MCP so decisions, lessons, repo guardrails, and code understanding carry across sessions.
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