# Moltlinestudio Data MCP server

Source: https://glimind.com/server/mcp-registry%2Fcom.moltlinestudio%2Fdata
Registry id: `mcp-registry/com.moltlinestudio/data`
Status: live (checked 2026-10-27T03:18:22.862Z)

## Verdict

Moltlinestudio Data MCP server answered 99.89% of Glimind's liveness checks over 30 days, better than 29% of MCP servers, with 324 ms median handshake and 7 outages in 90 days. Its agent-readiness grade is A (100/100) across 7 tools, costing an agent about 1,861 tokens to load. Checked every few minutes; no tool is ever called.

## Measurements (30 days)

| Metric | Value | Better than |
|---|---|---|
| Uptime, 30 days | 99.89% | 29% of MCP servers |
| Median handshake latency | 324 ms | 60% of MCP servers |
| p95 handshake latency | 2204 ms | — |
| Checks in 30 days | 4,934 | — |
| Outages, 90 days | 7 | — |
| Median recovery | 5 min | — |
| Agent-readiness score | 100/100 (A) | 94% of MCP servers |
| Tools | 7 | — |
| Tool-list size for an agent | ~1,861 tokens | 54% of MCP servers |
| Days observed | 29 | — |

## Install

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

Claude Code:

```sh
claude mcp add --transport http moltlinestudio-data-mcp-server https://mcp.moltlinestudio.com/data
```

## Tools (7)

- `ab_test`: Run a two-proportion A/B significance test with a plain-language verdict. FREE. Typical input {"conversions_a": 120, "visitors_a": 2400, "conversions_b": 156, "
- `cohort_retention`: Build a retention table and average curve from raw cohort counts. PREMIUM (license). Typical input {"cohorts": {"2026-01": [1000, 400, 300, 250]}} (index 0 is c
- `correlation`: Compute the Pearson correlation between two numeric series. FREE. Typical input {"x": [1, 2, 3, 4], "y": [2.1, 3.9, 6.2, 8.1]} returns {"pearson_r": 0.999, "r_s
- `csv_profile`: Profile pasted CSV data column by column with data-quality flags. FREE. Reports per-column type, null rate, unique count, numeric stats (min/mean/max), and top 
- `forecast_trend`: Forecast future periods with a linear trend and honest fit quality. PREMIUM (license). For quick planning, not statistical modeling. Typical input {"values": [1
- `funnel_report`: Analyze a conversion funnel and find the biggest drop-off. PREMIUM (license). Typical input {"stages": {"Visited": 1000, "Signed up": 200, "Paid": 50}} returns 
- `growth_rates`: Compute period-over-period growth and CAGR for a numeric series. FREE. Typical input {"values": [1000, 1100, 1320]} returns {"period_over_period_pct": [10.0, 20

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.