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Turn coding agents into data analysts for querying datasets and charting results.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "openanalyst-mcp-server" yet — see the docs or source repo.
Read the uploaded sales.csv, profile the dataset and columns, then use read-only SQL to calculate monthly sales totals, and finally generate a Vega-Lite bar chart exported as SVG.
A dataset profile, SQL aggregation results, and an exported SVG chart file.
Connect to the database I provide, profile the orders table, use read-only SQL to find the top products by order volume in the last 30 days, and generate a chart of the results.
A table or dataset profile, read-only query results, and a matching visualization.
Analyze the uploaded JSON and XLSX files, perform data profiling, identify field types, missing values, and unusual distributions, and provide a summary chart.
A data quality overview, key issue notes, and a summary chart in SVG format.
Developers or data analysts can attach CSV, Parquet, JSON, XLSX files, or databases to this tool so a coding agent can first profile the data and then run analysis tasks. This extends a code-focused agent into a practical data analysis assistant.
When a team needs database analysis without allowing an agent to modify data, it can use this tool to run read-only SQL. It fits use cases such as aggregations, trend inspection, and result validation.
Researchers, product managers, or analysts can generate Vega-Lite charts after analysis and export them as SVG files. This makes it easier to place results into reports, documents, or presentations.
It turns coding agents into data analysis assistants. It can attach CSV, Parquet, JSON, XLSX files, or databases, profile data, run read-only SQL, and generate Vega-Lite SVG charts.
The provided information shows support for CSV, Parquet, JSON, XLSX files, and databases. Specific database types are not provided here; see the source repository.
The description explicitly says it runs read-only SQL, so its database capabilities are intended for reading and analysis rather than writing or modifying data.
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