com.moltlinestudio/data
REMOTE · MCP.MOLTLINESTUDIO.COM · SCANNED AUG 17
Hosted MCP server for data analysis: CSV profiling, A/B tests, cohorts, funnels, trend forecasts.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score →
Endpoint Security83
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
- DNSSEC is configured correctly; the domain's records validate against the full chain to the root. View diagnostics → Pass
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability60
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 1709 tokens (~244/item across 7 items; 7 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Unverified: 1 category
A category scored 0 because we could not verify it: authentication we do not have, an unreachable endpoint, or not enough scan history. We only credit what we can confirm.
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
remote · mcp.moltlinestudio.com
claude mcp add --transport http com-moltlinestudio-data https://mcp.moltlinestudio.com/data
[mcp_servers.com-moltlinestudio-data] url = "https://mcp.moltlinestudio.com/data"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"com-moltlinestudio-data": {
"type": "remote",
"url": "https://mcp.moltlinestudio.com/data",
"enabled": true
}
}
} openclaw mcp add com-moltlinestudio-data --url https://mcp.moltlinestudio.com/data --transport streamable-http
mcp_servers:
com-moltlinestudio-data:
url: "https://mcp.moltlinestudio.com/data" {
"mcpServers": {
"com-moltlinestudio-data": {
"type": "http",
"url": "https://mcp.moltlinestudio.com/data"
}
}
} The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 17 Aug 26 70
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 17 Aug 2026 · Probed https://mcp.moltlinestudio.com/data
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=mcp.moltlinestudio.com | CN=YE1,O=Let's Encrypt,C=US | 16 Aug 2026 | 14 Nov 2026 | ECDSA 256 | ECDSA-SHA384 | 6c3ed2184cc1622eb0659f596575816a5c8 |
| SANs: mcp.moltlinestudio.com | ||||||
| CN=YE1,O=Let's Encrypt,C=US (CA) | CN=Root YE,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | ECDSA 384 | ECDSA-SHA384 | 5ddd70dd31f801c85c186a7a04b80afe |
| CN=Root YE,O=ISRG,C=US (CA) | CN=ISRG Root X2,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | ECDSA-SHA384 | 872165fc34b6e5fba8add5b3705fb53a |
| CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) | CN=ISRG Root X1,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | SHA256-RSA | 6c8f1dc727c7117f7baf853ac980f9cd |
DNSSEC secure
Validation of mcp.moltlinestudio.com. — Secure
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| com. | present | 19718 | 13 | Verified |
| moltlinestudio.com. | present | 2371 | 13 | Verified |
| mcp.moltlinestudio.com. | Verified address RRset verified with the apex keys |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
| Header | Value |
|---|---|
| strict-transport-security | max-age=31536000 |
| x-content-type-options | nosniff |
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://mcp.moltlinestudio.com/data | Verified | 200 | |
| http (plaintext) | http://mcp.moltlinestudio.com/data | HTTPS enforced | 308 | https://mcp.moltlinestudio.com/data |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.
ab_test Ab Test ~292
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": 5.0, "rate_b_pct": 6.55, "relative_lift_pct": 31.1, "z_score": ..., "p_value": ..., "significant_at_95": true, "verdict": "B beats A — statistically significant"}. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "need visitors > 0 and 0 <= conversions <= visitors"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
| Name | Type | Req | Description |
|---|---|---|---|
| conversions_a | integer | yes | Conversions in variant A; 0 or more, at most visitors_a. |
| conversions_b | integer | yes | Conversions in variant B; 0 or more, at most visitors_b. |
| visitors_a | integer | yes | Visitors in variant A; must be at least 1. |
| visitors_b | integer | yes | Visitors in variant B; must be at least 1. |
Structured output declared, but exposes no named fields.
No examples provided.
cohort_retention Cohort Retention ~264
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 still active in that period — returns {"retention_table_pct": {"2026-01": [100.0, 40.0, 30.0, 25.0]}, "avg_curve_pct": [...], "reading": "..."}. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "cohort '<value>' must map to a list of numbers,"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
| Name | Type | Req | Description |
|---|---|---|---|
| cohorts | object | yes | Mapping of cohort label to a list of counts, where counts[0] is the cohort size and counts[n] is users active in period n, e.g. {"2026-01": [1000, 400, 300]}. The first 24 cohorts are used. |
Structured output declared, but exposes no named fields.
No examples provided.
correlation Correlation ~214
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 strong positive correlation", "caution": "..."}. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "need two equal-length series of 3+ values"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
| Name | Type | Req | Description |
|---|---|---|---|
| x | array | yes | First numeric series; at least 3 values, same length as y. |
| y | array | yes | Second numeric series; at least 3 values, same length as x. |
Structured output declared, but exposes no named fields.
No examples provided.
csv_profile Csv Profile ~260
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": "name,age\nAda,36\nLin,29"} returns {"rows": 2, "columns": {"age": {"type": "numeric", "null_pct": 0.0, "unique": 2, "min": 29, ...}}, "quality_flags": ["..."], "note": "first 2000 rows profiled"}. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "delimiter must be a single character, e.g. ',' or ';'"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
| Name | Type | Req | Description |
|---|---|---|---|
| csv_text | string | yes | Raw CSV content including a header row, pasted as a single string; the first 2000 data rows are profiled. |
| delimiter | string | – | Field separator, exactly one character, e.g. "," or ";". Default ",". |
Structured output declared, but exposes no named fields.
No examples provided.
forecast_trend Forecast Trend ~224
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} returns {"trend_per_period": 20.2, "r_squared": 0.998, "forecast": [180.9, 201.1, 221.3], "caveat": "..."}. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "need at least 4 historical values"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
| Name | Type | Req | Description |
|---|---|---|---|
| periods_ahead | integer | – | How many future periods to forecast; values outside 1-12 are clamped. Default 3. |
| values | array | yes | Ordered historical series, oldest first; at least 4 values. |
Structured output declared, but exposes no named fields.
No examples provided.
funnel_report Funnel Report ~225
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": "Signed up", "conversion_pct": 20.0, "lost": 800}, ...], "overall_conversion_pct": 5.0, "biggest_dropoff": {...}, "recommendation": "..."}. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "need at least 2 stages"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
| Name | Type | Req | Description |
|---|---|---|---|
| stages | object | yes | Ordered mapping of stage name to count, top of funnel first; at least 2 stages with non-negative numeric values, e.g. {"Visited": 1000, "Signed up": 200}. |
Structured output declared, but exposes no named fields.
No examples provided.
growth_rates Growth Rates ~188
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_growth_per_period_pct_cagr": 14.89}. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "need at least 2 values"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
| Name | Type | Req | Description |
|---|---|---|---|
| values | array | yes | Ordered numeric series, oldest first, at least 2 values, e.g. monthly revenue [1000, 1100, 1320]. |
Structured output declared, but exposes no named fields.
No examples provided.