GetQueryly
Upload spreadsheets and get AI analysis with charts, insights, and quality scores
Connects to GetQueryly's AI data analysis platform. Upload CSV, Excel, JSON, PDF or images to get plain-English analysis, auto-generated charts, statistical tests, health checks, and executive dashboards. Supports knowledge graphs and pricing elasticity analysis.
Try asking Muse: "Upload my sales spreadsheet and show me the top trends and a chart of revenue by region"
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Source: Found in the official MCP Registry (io.github.thesinbin12-jpg/getqueryly) · First listed October 29, 2026
Last 24 hours
Each bar is one check, every 15 minutes. Green means it answered. Last checked 6 min ago.
Is it safe to connect?
What Muse can see: You sign in to your own account with it, so Muse can reach what that account allows. Read what it asks for before you agree.
Before it acts: Read what Muse plans to do before you approve it, and remove the app from Muse when you stop using it.
musedirectory.ai is not part of Meta. More about how Muse handles your information
How to add it to Muse
Not in Muse's Connectors list yet, but Muse can still use it. Copy the request below and paste it into Muse. Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
https://getqueryly.com/mcp/mcpNot in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
Also use it in ChatGPT or Claude
GetQueryly is a remote MCP server, so any assistant that can add a custom connector by link can use it. Same link, same tools.
Add it to ChatGPT
- 1
Open ChatGPT settings
In ChatGPT, open Settings, then Connectors (called Apps & Connectors on some accounts).
- 2
Turn on developer mode
Under Advanced settings, switch on Developer mode. That is what lets you add a connector by link.
- 3
Create the connector
Choose Create, give it a name, paste the link as the MCP server URL, and save. If it needs a sign-in, ChatGPT asks for it here.
- 4
Use it in a chat
Start a chat, open the tools menu, pick the connector, and ask. ChatGPT asks before it runs a tool the first time.
Custom connectors need a paid ChatGPT plan, and on Team, Enterprise and Edu accounts only an admin can add them. Our "Working" label means the server answered us; it cannot tell whether your plan lets you add it. All connectors that work in ChatGPT
Add it to Claude
- 1
Open Claude settings
In Claude, open Settings, then Connectors.
- 2
Add a custom connector
Choose Add custom connector, give it a name, and paste the link.
- 3
Connect and use it
If it needs a sign-in, Claude sends you to it. Then turn the connector on in a chat from the tools menu and ask.
Custom connectors are available on paid Claude plans; on Team and Enterprise accounts an admin may need to add them. Our "Working" label means the server answered us; it cannot tell whether your plan lets you add it. All connectors that work in Claude
https://getqueryly.com/mcp/mcpWhat people ask Muse to do
Technical details: safety screening, tools, response time and recent checks
Response time at the last check: 285ms. Worked in 0% of checks over 30 days.
Screening · October 29, 2026
Screened, no issues found
Screening looks for known threats and hidden instructions at the time of the check, and runs again weekly and whenever the tool list changes. It cannot see the server's code, so only connect what you need and review what Muse asks to do. How screening works.
Tools · 22
ai_chatChat with getqueryly AI. Ask questions, generate content, search the web. Costs 1 Make.ds_uploadUpload a data file for AI analysis. Supports CSV, Excel, JSON, PDF, images, SPSS, Parquet. Returns session_id. Free.ds_queryAsk a question about uploaded data. AI writes and runs Python code. Returns analysis with charts. Costs 1 Make.analyze_fileONE-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.ds_health_checkRun a data health check. Detects missing values, outliers, type issues, duplicates. Costs 2 Makes.ds_insightsGet automatic insights from data: patterns, anomalies, trends, correlations. Costs 3 Makes.ds_swarmRun analyst swarm: multiple AI personas analyze your data independently, then synthesize consensus. Depth: quick (5 Makes) or full (8 Makes).ds_reportGenerate a PDF report from data analysis. Includes charts, stats, insights. Costs 3 Makes.smart_testAI picks the right statistical test for your data and runs it. Costs 1 Make.chartGenerate a chart from data. Ask for any chart type: bar, line, scatter, heatmap, box plot, treemap, etc. Costs 2 Makes.generate_diagramGenerate a diagram from description. Types: flowchart, org_chart, process, mindmap, tree. Palettes: blue, green, purple, dark, warm. Costs 1 Make.generate_org_chartGenerate 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.create_infographicCreate a professional infographic. stats_json/bars_json/progress_json: JSON arrays. Themes: corporate, vibrant, clean, nature, sunset. Costs 1 Make.create_comparisonCreate a side-by-side comparison infographic. Costs 1 Make.kaggle_searchSearch 200K+ Kaggle datasets by keyword. Returns dataset refs, titles, license info, download counts. Free.kaggle_loadDownload a Kaggle dataset and create an analysis session. Returns session_id for queries. Free.kaggle_analyzeSearch Kaggle, download dataset, and analyze it in one step. Costs 2 Makes for the query.get_usageCheck your getqueryly Makes balance and usage. Free.get_costsGet the Makes cost table for all operations. Free.ds_graphBuild 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.ds_elasticityPricing sensitivity: if the dataset has discount + margin columns, compute per-segment margin sensitivity to discount (slope, R-squared, confidence, recommendation). Costs 1 Make.ds_dashboardAuto-generate a Power BI-grade executive dashboard (KPIs, charts, pricing elasticity, impact/effort matrix, takeaways) from the uploaded dataset. Costs 2 Makes.Recent checks
Link
https://getqueryly.com/mcp/mcpQuestions about GetQueryly in Muse
How do I connect GetQueryly to Muse?
Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use GetQueryly to help me. It is a free service with an MCP server at https://getqueryly.com/mcp/mcp. It needs an API key from thesinbin12-jpg; ask me to enter it through your secure credential prompt. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
Is GetQueryly working right now?
At the last check (October 29, 2026, 11:45 UTC) the endpoint was having trouble, answering in 285ms. Over the last 7 days it answered 0% of health checks. It is checked every 15 minutes.
Is GetQueryly safe to connect to Muse?
It was screened on October 29, 2026 with the result "screened, no issues found". Screening checks the domain against threat feeds and reads the tools for hidden instructions and requests for passwords or card numbers. It cannot see the server's code, so grant only the access you need.
What can GetQueryly do in Muse?
It exposes 22 tools, including ai_chat, ds_upload, ds_query, analyze_file. For example, you could ask Muse: "Upload my sales spreadsheet and show me the top trends and a chart of revenue by region"
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