S2 StreamStore MCP Server
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
S2 StreamStore MCP Server
An MCP server for S2 StreamStore built with Concierge progressive tool disclosure.
Instead of exposing all S2 API tools at once, the server guides AI agents through a natural workflow:
account → basin → streamAt each stage, only the relevant tools are visible.
Stages
Stage | Tools | Description |
account |
| Manage basins and access tokens |
basin |
| Manage streams within a basin |
stream |
| Read/write records and manage stream config |
Related MCP server: Omega MCP Server
Setup
pip install -e .Configuration
Set your S2 access token as an environment variable:
export S2_ACCESS_TOKEN="your-token-here"Run
stdio (for Cursor, Claude Desktop, etc.):
python main.pyMCP Client Configuration
Add to your MCP client config (e.g. ~/.cursor/mcp.json):
{
"mcpServers": {
"s2": {
"command": "python",
"args": ["/path/to/mcp/main.py"],
"env": {
"S2_ACCESS_TOKEN": "your-token-here"
}
}
}
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