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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

{
  "mcpServers": {
    "getqueryly": {
      "type": "http",
      "url": "https://getqueryly.com/mcp/mcp",
      "headers": {
        "X-API-Key": "${X_API_KEY}"
      }
    }
  }
}

claude mcp add --transport http getqueryly https://getqueryly.com/mcp/mcp --header "X-API-Key: ${X_API_KEY}"

[mcp_servers.getqueryly]
url = "https://getqueryly.com/mcp/mcp"
env_http_headers = { "X-API-Key" = "X_API_KEY" }

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "getqueryly": {
      "type": "remote",
      "url": "https://getqueryly.com/mcp/mcp",
      "enabled": true,
      "headers": {
        "X-API-Key": "{env:X_API_KEY}"
      }
    }
  }
}

{
  "mcpServers": {
    "getqueryly": {
      "type": "http",
      "url": "https://getqueryly.com/mcp/mcp",
      "headers": {
        "X-API-Key": "${X_API_KEY}"
      }
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=getqueryly&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vZ2V0cXVlcnlseS5jb20vbWNwL21jcCIsImhlYWRlcnMiOnsiWC1BUEktS2V5IjoiJHtYX0FQSV9LRVl9In19"
}

{
  "servers": {
    "getqueryly": {
      "type": "http",
      "url": "https://getqueryly.com/mcp/mcp",
      "headers": {
        "X-API-Key": "${X_API_KEY}"
      }
    }
  }
}

{
  "mcpServers": {
    "getqueryly": {
      "httpUrl": "https://getqueryly.com/mcp/mcp",
      "headers": {
        "X-API-Key": "${X_API_KEY}"
      }
    }
  }
}

extensions:
  "getqueryly":
    enabled: true
    name: "getqueryly"
    type: streamable_http
    uri: "https://getqueryly.com/mcp/mcp"
    headers:
      "X-API-Key": "${X_API_KEY}"
    timeout: 300

Placeholders to fill from your own secret store: ${X_API_KEY}. The registry never accepts secret values.

Quality 81 / 100good

protocoln/a · weight 25

n/a
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene71 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
fail
tools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
fail
tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: ds_swarm (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); ds_report (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); ds_health_check (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
pass
tools.token_costabout 2,168 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability100 · weight 15

pass
stability.changesno tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

22 tools, about 2,168 tokens to load them all · tool set 49955b9a71bf · checked 2026-10-20 18:38 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 97 / 100

provenance90

liveness100

freshness100

hygiene100

+repository +namespace-matches-repo +website +reachable +uptime-100% +updated-8d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://getqueryly.com/mcp/mcp` streamable-http	api_key `${X_API_KEY}`	yes	100%	181 ms	–	2026-10-20

Tools (22)

`ai_chat`	Chat with getqueryly AI. Ask questions, generate content, search the web. Costs 1 Make.
`analyze_file`	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.
`chart`	Generate a chart from data. Ask for any chart type: bar, line, scatter, heatmap, box plot, treemap, etc. Costs 2 Makes.
`create_comparison`	Create a side-by-side comparison infographic. Costs 1 Make.
`create_infographic`	Create a professional infographic. stats_json/bars_json/progress_json: JSON arrays. Themes: corporate, vibrant, clean, nature, sunset. Costs 1 Make.
`ds_dashboard`	Auto-generate a Power BI-grade executive dashboard (KPIs, charts, pricing elasticity, impact/effort matrix, takeaways) from the uploaded dataset. Costs 2 Makes.
`ds_elasticity`	Pricing sensitivity: if the dataset has discount + margin columns, compute per-segment margin sensitivity to discount (slope, R-squared, confidence, recommendation). Costs 1 Make.
`ds_graph`	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.
`ds_health_check`	Run a data health check. Detects missing values, outliers, type issues, duplicates. Costs 2 Makes.
`ds_insights`	Get automatic insights from data: patterns, anomalies, trends, correlations. Costs 3 Makes.
`ds_query`	Ask a question about uploaded data. AI writes and runs Python code. Returns analysis with charts. Costs 1 Make.
`ds_report`	Generate a PDF report from data analysis. Includes charts, stats, insights. Costs 3 Makes.
`ds_swarm`	Run analyst swarm: multiple AI personas analyze your data independently, then synthesize consensus. Depth: quick (5 Makes) or full (8 Makes).
`ds_upload`	Upload a data file for AI analysis. Supports CSV, Excel, JSON, PDF, images, SPSS, Parquet. Returns session_id. Free.
`generate_diagram`	Generate a diagram from description. Types: flowchart, org_chart, process, mindmap, tree. Palettes: blue, green, purple, dark, warm. Costs 1 Make.
`generate_org_chart`	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.
`get_costs`	Get the Makes cost table for all operations. Free.
`get_usage`	Check your getqueryly Makes balance and usage. Free.
`kaggle_analyze`	Search Kaggle, download dataset, and analyze it in one step. Costs 2 Makes for the query.
`kaggle_load`	Download a Kaggle dataset and create an analysis session. Returns session_id for queries. Free.
`kaggle_search`	Search 200K+ Kaggle datasets by keyword. Returns dataset refs, titles, license info, download counts. Free.
`smart_test`	AI picks the right statistical test for your data and runs it. Costs 1 Make.

Schemas: list_tools.

Similar MCP servers

Official server.json

{
  "name": "io.github.thesinbin12-jpg/getqueryly",
  "title": "GetQueryly — AI Data Analyst",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://getqueryly.com/mcp/mcp",
      "type": "streamable-http",
      "headers": [
        {
          "name": "X-API-Key",
          "isSecret": true,
          "isRequired": true,
          "description": "GetQueryly API key (free tier: 10 Makes/day)"
        }
      ]
    }
  ],
  "version": "1.0.0",
  "repository": {
    "url": "https://github.com/thesinbin12-jpg/getqueryly-mcp",
    "source": "github"
  },
  "websiteUrl": "https://getqueryly.com",
  "description": "Upload spreadsheets, get plain-English analysis with real computed charts and quality scores."
}