GetQueryly — AI Data Analyst
REMOTE · GETQUERYLY.COM
Upload spreadsheets, get plain-English analysis with real computed charts and quality scores.
Available components
Last scanned (3 hours ago)
Scores higher than 55% of remote servers
Reachable. Last reached 5 Nov 2026.
Category Data and Analytics
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 → Why this is hard to score →
Endpoint Security63
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- Authorisation not fully verified: no authorisation is required to call this server, and 22 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. See how to fix → View diagnostics → Unverified
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability55
- AI-judged instruction clarity (fair).Partial
- Tool/resource definitions use about 1331 tokens (~60/item across 22 items; 22 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management80
- Stability observed for 24 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage71
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 0% of tool parameters carry a description.Fail
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 22 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 22 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities60
- Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28. See how to fix → Fail
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.
- 4 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 73 to 77. That category is still filling its 30-day observation window: 22 days of observed history at the previous scan, 23 at this one. The score rises as the window fills, whether or not the server changes.
- 1 Nov 26 +44
- Injection markers: unverified → pass ▲ security
- Transport: fail → pass ▲ security
- Authorization: Authorisation not fully verified: no authorisation is required to call this server, and 22 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. security
- MCP protocol: unverified → fail ▼ functional
- Endpoint reachability: not serving MCP → reachable ▲ functional
- Tool coverage: unverified → 100 ▲ functional
- Stability: unverified → 0.67 ▲ functional
- 17 Oct 26 −36
- Endpoint reachability: reachable → not serving MCP ▼ security
- Stability: 0.13 → unverified ▼ security
- Tool safety: pass → unverified ▼ security
- Transport: pass → fail ▼ security
- Authorization: Authorisation not yet verified: we couldn't confirm whether this endpoint requires it. security
- Capabilities: fail → unverified ▼ functional
- Tool coverage: 100 → unverified ▼ functional
- First check of Schema quality: unverified functional
- 15 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.
- 13 Oct 26 +1
- Stability: unverified → 0.03 ▲ functional
- 12 Oct 26 59
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 5 Nov 2026 · Probed https://getqueryly.com/mcp/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=getqueryly.com | CN=WE1,O=Google Trust Services,C=US | 12 Oct 2026 | 10 Jan 2027 | ECDSA 256 | ECDSA-SHA256 | 96327c1a40da5bd50e3d2e290c9b501f |
| SANs: getqueryly.com | ||||||
| CN=WE1,O=Google Trust Services,C=US (CA) | CN=GTS Root R4,O=Google Trust Services LLC,C=US | 13 Dec 2023 | 20 Feb 2029 | ECDSA 256 | ECDSA-SHA384 | 7ff31977972c224a76155d13b6d685e3 |
| CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) | CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE | 15 Nov 2023 | 28 Jan 2028 | ECDSA 384 | SHA256-RSA | 7fe530bf331343bedd821610493d8a1b |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of getqueryly.com. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| com. | present | 19718 | 13 | Verified |
| getqueryly.com. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
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; includeSubDomains; preload |
| x-content-type-options | nosniff |
| x-frame-options | DENY |
| referrer-policy | strict-origin-when-cross-origin |
| permissions-policy | camera=(), microphone=(), geolocation=() |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://getqueryly.com/mcp/mcp | Verified | 200 | |
| http (plaintext) | http://getqueryly.com/mcp/mcp | HTTPS enforced | 301 | https://getqueryly.com/mcp/mcp |
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. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
ai_chat ~45
Chat with getqueryly AI. Ask questions, generate content, search the web. Costs 1 Make.
| Name | Type | Req | Description |
|---|---|---|---|
| api_key | string | – | – |
| message | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
analyze_file ~93
ONE-CALL deep analysis (v2): upload a file and get quality score, top insights, a summary and the headline chart — no session juggling. Without a question: full analysis (2 Makes). With a question: answers just that question (1 Make). Returns structured JSON.
| Name | Type | Req | Description |
|---|---|---|---|
| api_key | string | – | – |
| file_path | string | yes | – |
| question | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
chart ~64
Generate a chart from data. Ask for any chart type: bar, line, scatter, heatmap, box plot, treemap, etc. Costs 2 Makes.
| Name | Type | Req | Description |
|---|---|---|---|
| api_key | string | – | – |
| query | string | yes | – |
| session_id | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
create_comparison ~78
Create a side-by-side comparison infographic. Costs 1 Make.
| Name | Type | Req | Description |
|---|---|---|---|
| api_key | string | – | – |
| left_items_json | string | – | – |
| left_title | string | – | – |
| right_items_json | string | – | – |
| right_title | string | – | – |
| theme | string | – | – |
| title | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
create_infographic ~96
Create a professional infographic. stats_json/bars_json/progress_json: JSON arrays. Themes: corporate, vibrant, clean, nature, sunset. Costs 1 Make.
| Name | Type | Req | Description |
|---|---|---|---|
| api_key | string | – | – |
| bars_json | string | – | – |
| progress_json | string | – | – |
| stats_json | string | – | – |
| subtitle | string | – | – |
| theme | string | – | – |
| title | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
ds_dashboard ~63
Auto-generate a Power BI-grade executive dashboard (KPIs, charts, pricing elasticity, impact/effort matrix, takeaways) from the uploaded dataset. Costs 2 Makes.
| Name | Type | Req | Description |
|---|---|---|---|
| api_key | string | – | – |
| session_id | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
ds_elasticity ~65
Pricing sensitivity: if the dataset has discount + margin columns, compute per-segment margin sensitivity to discount (slope, R-squared, confidence, recommendation). Costs 1 Make.
| Name | Type | Req | Description |
|---|---|---|---|
| api_key | string | – | – |
| session_id | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
ds_graph ~99
Build or query a knowledge graph for an uploaded dataset (GraphRAG). action='build' turns the data into a graph and returns a summary. action='query' answers a question over the graph (e.g. 'which products share the most suppliers?'). Costs 1 Make.
| Name | Type | Req | Description |
|---|---|---|---|
| action | string | – | – |
| api_key | string | – | – |
| query | string | – | – |
| session_id | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
ds_health_check ~49
Run a data health check. Detects missing values, outliers, type issues, duplicates. Costs 2 Makes.
| Name | Type | Req | Description |
|---|---|---|---|
| api_key | string | – | – |
| session_id | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
ds_insights ~44
Get automatic insights from data: patterns, anomalies, trends, correlations. Costs 3 Makes.
| Name | Type | Req | Description |
|---|---|---|---|
| api_key | string | – | – |
| session_id | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
ds_query ~55
Ask a question about uploaded data. AI writes and runs Python code. Returns analysis with charts. Costs 1 Make.
| Name | Type | Req | Description |
|---|---|---|---|
| api_key | string | – | – |
| query | string | yes | – |
| session_id | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
ds_report ~44
Generate a PDF report from data analysis. Includes charts, stats, insights. Costs 3 Makes.
| Name | Type | Req | Description |
|---|---|---|---|
| api_key | string | – | – |
| session_id | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
ds_swarm ~69
Run analyst swarm: multiple AI personas analyze your data independently, then synthesize consensus. Depth: quick (5 Makes) or full (8 Makes).
| Name | Type | Req | Description |
|---|---|---|---|
| api_key | string | – | – |
| depth | string | – | – |
| query | string | yes | – |
| session_id | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
ds_upload ~55
Upload a data file for AI analysis. Supports CSV, Excel, JSON, PDF, images, SPSS, Parquet. Returns session_id. Free.
| Name | Type | Req | Description |
|---|---|---|---|
| api_key | string | – | – |
| file_path | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
generate_diagram ~78
Generate a diagram from description. Types: flowchart, org_chart, process, mindmap, tree. Palettes: blue, green, purple, dark, warm. Costs 1 Make.
| Name | Type | Req | Description |
|---|---|---|---|
| api_key | string | – | – |
| description | string | yes | – |
| diagram_type | string | – | – |
| palette | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
generate_org_chart ~82
Generate an org chart. names_json: JSON array of [name, role, parent_name_or_null]. Example: [["CEO John", "CEO", null], ["VP Sarah", "VP Engineering", "CEO John"]]. Costs 2 Makes.
| Name | Type | Req | Description |
|---|---|---|---|
| api_key | string | – | – |
| names_json | string | yes | – |
| palette | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_costs ~20
Get the Makes cost table for all operations. Free.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_usage ~28
Check your getqueryly Makes balance and usage. Free.
| Name | Type | Req | Description |
|---|---|---|---|
| api_key | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
kaggle_analyze ~55
Search Kaggle, download dataset, and analyze it in one step. Costs 2 Makes for the query.
| Name | Type | Req | Description |
|---|---|---|---|
| api_key | string | – | – |
| dataset_ref | string | yes | – |
| query | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
kaggle_load ~44
Download a Kaggle dataset and create an analysis session. Returns session_id for queries. Free.
| Name | Type | Req | Description |
|---|---|---|---|
| api_key | string | – | – |
| dataset_ref | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
kaggle_search ~56
Search 200K+ Kaggle datasets by keyword. Returns dataset refs, titles, license info, download counts. Free.
| Name | Type | Req | Description |
|---|---|---|---|
| api_key | string | – | – |
| page | integer | – | – |
| query | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
smart_test ~49
AI picks the right statistical test for your data and runs it. Costs 1 Make.
| Name | Type | Req | Description |
|---|---|---|---|
| api_key | string | – | – |
| query | string | yes | – |
| session_id | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
How do I install the GetQueryly — AI Data Analyst MCP server?
GetQueryly — AI Data Analyst is a hosted endpoint at https://getqueryly.com/mcp/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · getqueryly.com
claude mcp add --transport http thesinbin12-jpg-getqueryly 'https://getqueryly.com/mcp/mcp'
What is the GetQueryly — AI Data Analyst MCP server?
GetQueryly — AI Data Analyst is an MCP server listed in the public MCP registry as io.github.thesinbin12-jpg/getqueryly. Upload spreadsheets, get plain-English analysis with real computed charts and quality scores. This page covers its hosted endpoint (https://getqueryly.com/mcp/mcp).
Is the GetQueryly — AI Data Analyst MCP server safe to use?
GetQueryly — AI Data Analyst scores 70 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the GetQueryly — AI Data Analyst MCP server expose?
GetQueryly — AI Data Analyst exposes 22 tools: ai_chat, ds_upload, ds_query, analyze_file, ds_health_check, and 17 more. Their descriptions and schemas cost roughly 1,331 tokens of context every time the server is loaded.
Does the GetQueryly — AI Data Analyst MCP server require authentication?
No. We connected to GetQueryly — AI Data Analyst without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the GetQueryly — AI Data Analyst MCP server still maintained?
GetQueryly — AI Data Analyst is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.