What is ContextStream?
ContextStream is a persistent memory solution for AI coding assistants that works across various platforms like Cursor, Claude, Windsurf, and VS Code. It allows AI to remember decisions, search semantically, and analyze code dependencies, effectively acting as a permanent brain for your AI tools.
How to use ContextStream?
To use ContextStream, you need to set up the MCP server by obtaining an API key from the ContextStream website, configuring your MCP client with the provided API key, and then running the server command.
Key features of ContextStream?
- Persistent memory for AI coding assistants across multiple tools.
- Semantic search capabilities to find code by meaning.
- Impact analysis to understand code dependencies and side effects.
- Decision history tracking to recall past decisions.
- Integration with over 60 MCP tools for enhanced functionality.
Use cases of ContextStream?
- Keeping track of project preferences and configurations across different AI sessions.
- Analyzing the impact of code changes before refactoring.
- Onboarding new team members by providing them with historical context and decisions.
- Enhancing AI interactions by reducing the need to repeat information.
FAQ from ContextStream?
-
Can ContextStream be used with any AI tool?
Yes, it is compatible with various MCP-compatible clients like Cursor, Claude, and VS Code. -
Is there a setup guide available?
Yes, detailed documentation is available on the ContextStream website. -
How secure is my data with ContextStream?
All data is encrypted at rest, and you control access through API keys.
Server Config
{
"mcpServers": {
"contextstream": {
"command": "npx",
"args": [
"-y",
"@contextstream/mcp-server"
],
"env": {
"CONTEXTSTREAM_API_URL": "https://api.contextstream.io",
"CONTEXTSTREAM_API_KEY": "your_api_key"
}
}
}
}