Power your agent
The publisher's own command. Not a PlugMCP endpoint.
Host a copy with our keys and logs.
uvx churn-predictor-ai-mcp==1.0.10Claude Code has no install link for a local command. Copy the command below and run it in a terminal.
claude mcp add io.github.csoai-org-churn-predictor-ai-mcp -- uvx churn-predictor-ai-mcp==1.0.10Run in a terminal.
{ "mcpServers": { "io.github.csoai-org-churn-predictor-ai-mcp": { "command": "uvx", "args": [ "churn-predictor-ai-mcp==1.0.10" ] } }}claude_desktop_config.json
Remote URL or a command on your machine? How the two installs differ
Run on PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
LaunchComprehensive customer churn prediction and retention analytics
Comprehensive customer churn prediction and retention analytics.
# Install via pip
pip install churn_predictor_ai_mcp
# Or install via Smithery
npx -y @smithery/cli@latest install churn-predictor-ai-mcp --client claude
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Add to your claude_desktop_config.json (Claude Desktop) or your MCP client config:
{
"mcpServers": {
"churn-predictor-ai-mcp": {
"command": "uvx",
"args": ["churn-predictor-ai-mcp"]
}
}
}
Or: pip install churn-predictor-ai-mcp then run the churn-predictor-ai-mcp command (stdio transport).
Once configured, ask your assistant, for example:
predict_churn to โฆ"batch_predict_churn to โฆ"get_customer_risk to โฆ"ยฉ 2026 MCP Directory.
{ "mcpServers": { "io.github.csoai-org-churn-predictor-ai-mcp": { "command": "uvx", "args": [ "churn-predictor-ai-mcp==1.0.10" ] } }}Tools
No tool list yet. Remote servers get one after the first health check.
FAQ
Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.
No required environment variable is listed on this record.
Churn Predictor Ai runs locally over stdio.
Last checked 2026-10-26. Churn Predictor Ai MCP Server by MEOK AI Labs