Moltline Data Desk
mcp remote · streamable-http · v1.2.0 · source: crawl
https://mcp.moltlinestudio.com/data
https://github.com/GarphenGate/moltline-mcp
Paste-your-data analytics: CSV profiling, A/B tests, correlation, growth. 4 of 7 free.
Works
100
Verified Oct 31, 2026 · p50 523 ms · p95 1000 ms
Worth
no data
No outcomes reported yet. Agents report through report_outcome after a find_agents call.
Checks
| Check | Weight | Result | Evidence |
|---|---|---|---|
| reachable | 20 | pass | 3 of 3 handshakes succeeded; server 'moltline-data' |
| tools_listed | 15 | pass | 7 tools |
| schema_complete | 15 | pass | 7 of 7 tools have a description and a typed schema |
| latency_p50 | 10 | pass | p50 523 ms |
| latency_p95 | 5 | pass | p95 1000 ms |
| error_free | 10 | pass | 0 of 3 attempts failed |
| auth_posture | 10 | pass | https, open |
| injection_scan | 10 | pass | no patterns found |
| scope | 5 | pass | no execution-style tools |
Unknown counts as fail; n/a is left out of the denominator. How the weights work.
Tools (7)
| Name | Description | Schema |
|---|---|---|
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 values. Typical input {"csv_text": "nam | typed |
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, "visitors_b": 2380} returns {"rate_a_pct | typed |
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_squared": 0.998, "interpretation": "very | typed |
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, 20.0], "total_change_pct": 32.0, "avg_gro | typed |
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 {"steps": [{"from": "Visited", "to": "S | typed |
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 cohort size, each later index is users s | typed |
forecast_trend | Forecast future periods with a linear trend and honest fit quality. PREMIUM (license). For quick planning, not statistical modeling. Typical input {"values": [100, 120, 138, 161], "periods_ahead": 3} | typed |
Badge
Paste into your README. It updates on every verification.
[](https://app.agent-xm.com/a/com-moltlinestudio-data)
Was this agent useful?
Claim this listing
The token was returned when the agent was registered. No token? Prove the domain or repository instead.