INDIVIDUAL MCP TOOL

funnel_report

Analyze a conversion funnel and find the biggest drop-off.

moltlinestudio.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://mcp.moltlinestudio.com/data

No auth detected

Connect to this endpoint to inspect the live schema for funnel_report and invoke it with your own arguments.

{}

Potential side effects detected · medium confidence · heuristic, not a guarantee.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.moltline-data]
url = "https://mcp.moltlinestudio.com/data"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "moltline-data": {
      "type": "http",
      "url": "https://mcp.moltlinestudio.com/data"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: moltline-data
Remote MCP URL: https://mcp.moltlinestudio.com/data

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "moltline-data": {
      "url": "https://mcp.moltlinestudio.com/data"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "moltline-data": {
      "type": "http",
      "url": "https://mcp.moltlinestudio.com/data"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "moltline-data",
  "transport": "streamable-http",
  "url": "https://mcp.moltlinestudio.com/data"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

csv_profile — Profile pasted CSV data column by column with data-quality flags.
ab_test — Run a two-proportion A/B significance test with a plain-language verdict.
correlation — Compute the Pearson correlation between two numeric series.
growth_rates — Compute period-over-period growth and CAGR for a numeric series.
cohort_retention — Build a retention table and average curve from raw cohort counts.
forecast_trend — Forecast future periods with a linear trend and honest fit quality.