Mcp Data
Load CSV, JSON, or XLSX in the agent, query rows, group-by, and compute stats without standing up a database.
Overview
mcp-data is a MCP server for the Grow phase that lets AI agents load CSV, JSON, and XLSX files and run queries, group-by, and stats without a database.
What is this MCP server?
- Load CSV, JSON, and XLSX without a database
- Query, filter, and group-by on tabular data
- Summary statistics from agent-driven tool calls
- stdio npm package @infoinlet/mcp-data v0.1.1
- From infoinlet-marketplace/services/mcp-data
- Server version 0.1.1
- Supported formats: CSV, JSON, XLSX
- npm package @infoinlet/mcp-data with stdio transport
What problem does it solve?
You have spreadsheets and exports on disk but no quick way for your agent to query, aggregate, or summarize them without a full database or pandas notebook.
Who is it for?
Indie builders analyzing customer CSVs, campaign exports, or prototype JSON logs directly from Claude Code or Cursor.
Skip if: Production OLTP workloads, live ClickHouse or Postgres replacements, or huge files that need distributed query engines.
What do I get? / Deliverables
Once MCP is registered, agents load supported file formats and return filtered tables, group-bys, and stats as tool results.
- Loaded datasets queryable from agent sessions
- Group-by and statistical summaries on flat files
- Faster validation of metrics without a database setup
Recommended MCP Servers
Journey fit
Exported metrics, survey CSVs, and spreadsheet dumps are analyzed in Grow analytics when validating traction without a warehouse yet. mcp-data handles in-memory tabular work—query, group-by, stats—ideal for lifecycle and content decisions from flat files.
How it compares
In-memory tabular MCP toolkit, not a database MCP server or BI product integration.
Common Questions / FAQ
Who is mcp-data for?
Solo developers and marketers using AI agents who need fast spreadsheet and export analysis without provisioning a database.
When should I use mcp-data?
Use it during Validate or Grow when you are exploring CSV/JSON/XLSX files—pricing surveys, funnel exports, or content metrics—before investing in a warehouse.
How do I add mcp-data to my agent?
Install @infoinlet/mcp-data from npm, configure stdio MCP in your agent, and ensure file paths for CSV, JSON, or XLSX are readable from the server’s working context.