# GetQueryly — AI Data Analyst (remote · getqueryly.com)

Upload spreadsheets, get plain-English analysis with real computed charts and quality scores.

- Trust score: 70/100 (medium)
- Change this week: +45
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- remote · `getqueryly.com`: 70/100 (this document), [markdown](https://verifymcp.io/servers/thesinbin12-jpg-getqueryly/getqueryly.md), [page](https://verifymcp.io/servers/thesinbin12-jpg-getqueryly/getqueryly)

## Channel facts

- Endpoint: `https://getqueryly.com/mcp/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.0`

## Trust breakdown

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. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-11-05.

- **Endpoint Security**: 63/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - 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.
  - HTTPS is enforced; there's no plaintext access path.
  - The HSTS (Strict-Transport-Security) header is present.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 55/100
  - AI-judged instruction clarity (fair).
  - Tool/resource definitions use about 1331 tokens (~60/item across 22 items; 22 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 80/100
  - Stability observed for 24 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 71/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 22 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 22 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 60/100
  - Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28.

## Install

### 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.

### Claude

```bash
claude mcp add --transport http thesinbin12-jpg-getqueryly 'https://getqueryly.com/mcp/mcp'
```

### Cursor

```json
{
  "mcpServers": {
    "thesinbin12-jpg-getqueryly": {
      "url": "https://getqueryly.com/mcp/mcp"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "thesinbin12-jpg-getqueryly": {
      "type": "http",
      "url": "https://getqueryly.com/mcp/mcp"
    }
  }
}
```

### Codex

```toml
[mcp_servers.thesinbin12-jpg-getqueryly]
url = "https://getqueryly.com/mcp/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "thesinbin12-jpg-getqueryly": {
      "type": "remote",
      "url": "https://getqueryly.com/mcp/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add thesinbin12-jpg-getqueryly --url 'https://getqueryly.com/mcp/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  thesinbin12-jpg-getqueryly:
    url: "https://getqueryly.com/mcp/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "thesinbin12-jpg-getqueryly": {
      "Transport": "http",
      "Url": "https://getqueryly.com/mcp/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add thesinbin12-jpg-getqueryly -t streamable-http -u 'https://getqueryly.com/mcp/mcp'
```

### Other

```json
{
  "mcpServers": {
    "thesinbin12-jpg-getqueryly": {
      "type": "http",
      "url": "https://getqueryly.com/mcp/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-11-04 (score 70, +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.

### 2026-11-01 (score 69, +44)

- [security improvement] Injection markers: unverified → pass
- [security improvement] 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.
- [functional regression] MCP protocol: unverified → fail
- [functional improvement] Endpoint reachability: not serving MCP → reachable
- [functional improvement] Tool coverage: unverified → 100
- [functional improvement] Stability: unverified → 0.67

### 2026-10-17 (score 25, −36)

- [security regression] Endpoint reachability: reachable → not serving MCP
- [security regression] Stability: 0.13 → unverified
- [security regression] Tool safety: pass → unverified
- [security regression] Transport: pass → fail
- [security] Authorization: Authorisation not yet verified: we couldn't confirm whether this endpoint requires it.
- [functional regression] Capabilities: fail → unverified
- [functional regression] Tool coverage: 100 → unverified
- [functional] First check of Schema quality: unverified

### 2026-10-15 (score 61, +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.

### 2026-10-13 (score 60, +1)

- [functional improvement] Stability: unverified → 0.03

### 2026-10-12 (score 59)

First indexed and scored.

## MCP tools (22)

### `ai_chat` (~45 tokens)

Chat with getqueryly AI. Ask questions, generate content, search the web. Costs 1 Make.

Input parameters:

- `api_key` (string)
- `message` (string, required)

Output parameters:

- `result` (string)

### `ds_upload` (~55 tokens)

Upload a data file for AI analysis. Supports CSV, Excel, JSON, PDF, images, SPSS, Parquet. Returns session_id. Free.

Input parameters:

- `api_key` (string)
- `file_path` (string, required)

Output parameters:

- `result` (string)

### `ds_query` (~55 tokens)

Ask a question about uploaded data. AI writes and runs Python code. Returns analysis with charts. Costs 1 Make.

Input parameters:

- `api_key` (string)
- `query` (string, required)
- `session_id` (string, required)

Output parameters:

- `result` (string)

### `analyze_file` (~93 tokens)

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.

Input parameters:

- `api_key` (string)
- `file_path` (string, required)
- `question` (string)

Output parameters:

- `result` (string)

### `ds_health_check` (~49 tokens)

Run a data health check. Detects missing values, outliers, type issues, duplicates. Costs 2 Makes.

Input parameters:

- `api_key` (string)
- `session_id` (string, required)

Output parameters:

- `result` (string)

### `ds_insights` (~44 tokens)

Get automatic insights from data: patterns, anomalies, trends, correlations. Costs 3 Makes.

Input parameters:

- `api_key` (string)
- `session_id` (string, required)

Output parameters:

- `result` (string)

### `ds_swarm` (~69 tokens)

Run analyst swarm: multiple AI personas analyze your data independently, then synthesize consensus. Depth: quick (5 Makes) or full (8 Makes).

Input parameters:

- `api_key` (string)
- `depth` (string)
- `query` (string, required)
- `session_id` (string, required)

Output parameters:

- `result` (string)

### `ds_report` (~44 tokens)

Generate a PDF report from data analysis. Includes charts, stats, insights. Costs 3 Makes.

Input parameters:

- `api_key` (string)
- `session_id` (string, required)

Output parameters:

- `result` (string)

### `smart_test` (~49 tokens)

AI picks the right statistical test for your data and runs it. Costs 1 Make.

Input parameters:

- `api_key` (string)
- `query` (string, required)
- `session_id` (string, required)

Output parameters:

- `result` (string)

### `chart` (~64 tokens)

Generate a chart from data. Ask for any chart type: bar, line, scatter, heatmap, box plot, treemap, etc. Costs 2 Makes.

Input parameters:

- `api_key` (string)
- `query` (string, required)
- `session_id` (string, required)

Output parameters:

- `result` (string)

### `generate_diagram` (~78 tokens)

Generate a diagram from description. Types: flowchart, org_chart, process, mindmap, tree. Palettes: blue, green, purple, dark, warm. Costs 1 Make.

Input parameters:

- `api_key` (string)
- `description` (string, required)
- `diagram_type` (string)
- `palette` (string)

Output parameters:

- `result` (string)

### `generate_org_chart` (~82 tokens)

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.

Input parameters:

- `api_key` (string)
- `names_json` (string, required)
- `palette` (string)

Output parameters:

- `result` (string)

### `create_infographic` (~96 tokens)

Create a professional infographic. stats_json/bars_json/progress_json: JSON arrays. Themes: corporate, vibrant, clean, nature, sunset. Costs 1 Make.

Input parameters:

- `api_key` (string)
- `bars_json` (string)
- `progress_json` (string)
- `stats_json` (string)
- `subtitle` (string)
- `theme` (string)
- `title` (string, required)

Output parameters:

- `result` (string)

### `create_comparison` (~78 tokens)

Create a side-by-side comparison infographic. Costs 1 Make.

Input parameters:

- `api_key` (string)
- `left_items_json` (string)
- `left_title` (string)
- `right_items_json` (string)
- `right_title` (string)
- `theme` (string)
- `title` (string, required)

Output parameters:

- `result` (string)

### `kaggle_search` (~56 tokens)

Search 200K+ Kaggle datasets by keyword. Returns dataset refs, titles, license info, download counts. Free.

Input parameters:

- `api_key` (string)
- `page` (integer)
- `query` (string, required)

Output parameters:

- `result` (string)

### `kaggle_load` (~44 tokens)

Download a Kaggle dataset and create an analysis session. Returns session_id for queries. Free.

Input parameters:

- `api_key` (string)
- `dataset_ref` (string, required)

Output parameters:

- `result` (string)

### `kaggle_analyze` (~55 tokens)

Search Kaggle, download dataset, and analyze it in one step. Costs 2 Makes for the query.

Input parameters:

- `api_key` (string)
- `dataset_ref` (string, required)
- `query` (string, required)

Output parameters:

- `result` (string)

### `get_usage` (~28 tokens)

Check your getqueryly Makes balance and usage. Free.

Input parameters:

- `api_key` (string, required)

Output parameters:

- `result` (string)

### `get_costs` (~20 tokens)

Get the Makes cost table for all operations. Free.

Output parameters:

- `result` (string)

### `ds_graph` (~99 tokens)

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.

Input parameters:

- `action` (string)
- `api_key` (string)
- `query` (string)
- `session_id` (string, required)

Output parameters:

- `result` (string)

### `ds_elasticity` (~65 tokens)

Pricing sensitivity: if the dataset has discount + margin columns, compute per-segment
    margin sensitivity to discount (slope, R-squared, confidence, recommendation). Costs 1 Make.

Input parameters:

- `api_key` (string)
- `session_id` (string, required)

Output parameters:

- `result` (string)

### `ds_dashboard` (~63 tokens)

Auto-generate a Power BI-grade executive dashboard (KPIs, charts, pricing
    elasticity, impact/effort matrix, takeaways) from the uploaded dataset. Costs 2 Makes.

Input parameters:

- `api_key` (string)
- `session_id` (string, required)

Output parameters:

- `result` (string)

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/thesinbin12-jpg-getqueryly/getqueryly#diagnostics

## Score history

- 2026-11-05: 70
- 2026-11-04: 70
- 2026-11-03: 69
- 2026-11-02: 69
- 2026-11-01: 69
- 2026-10-31: 25
- 2026-10-30: 25
- 2026-10-29: 25
- 2026-10-28: 25
- 2026-10-27: 25
- 2026-10-26: 25
- 2026-10-25: 25
- 2026-10-24: 25
- 2026-10-23: 25
- 2026-10-22: 25
- 2026-10-21: 25
- 2026-10-20: 25
- 2026-10-19: 25
- 2026-10-18: 25
- 2026-10-17: 25
- 2026-10-16: 61
- 2026-10-15: 61
- 2026-10-14: 60
- 2026-10-13: 60
- 2026-10-12: 59

## Common questions

### 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.

## Links

- Remote endpoint: https://getqueryly.com/mcp/mcp
- Authorisation metadata: https://getqueryly.com/.well-known/oauth-protected-resource/mcp/mcp
- Repository: https://github.com/thesinbin12-jpg/getqueryly-mcp
- Website: https://getqueryly.com/
- Changelog RSS feed: https://verifymcp.io/servers/thesinbin12-jpg-getqueryly/getqueryly.xml
- Changelog JSON feed: https://verifymcp.io/servers/thesinbin12-jpg-getqueryly/getqueryly.json
- HTML version of this page: https://verifymcp.io/servers/thesinbin12-jpg-getqueryly/getqueryly