synthdata-serve

Expose synthetic datasets as a read-only MCP server.

Updated Apr 5, 2026

Search Tags:#claude #mcp #server #dataset #data-access #synthetic-data

Ready to run

npx skills add https://github.com/rappdw/synthdata --skill synthdata-serve

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: synthdata-serve
Source: https://github.com/rappdw/synthdata/tree/main/skills/synthdata-serve
Command: npx skills add https://github.com/rappdw/synthdata --skill synthdata-serve

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, pandas, openpyxl, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Spin up a read-only MCP server from synthetic datasets, enabling Claude to query and interact with tables without writing any server code.

Core Features & Use Cases

Expose data as an MCP server that Claude can query
Generate or load datasets (xlsx, csv, json, parquet) and auto-create query tools
Create an exportable standalone MCP server project for deployment

Quick Start

Launch a read-only MCP server from your dataset and start exploring tables with the built-in tools.

Frequently Asked Questions about synthdata-serve

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I expose a CSV or Excel dataset as a read-only MCP server for Claude?▼

You can expose CSV, xlsx, json, or parquet datasets as a read-only MCP server by loading the files into this Skill, which auto-creates query tools like list_tables and query_table for Claude to use.

Can I generate a standalone MCP server project from a parquet dataset for deployment?▼

Yes, you can generate a standalone MCP server project from a parquet dataset. This Skill supports exporting a self-contained server project that wires a read-only toolset for immediate deployment.

What data querying capabilities does an MCP server provide for Claude?▼

An MCP server for Claude provides data querying capabilities through a read-only toolset including list_tables, describe_table, query_table, sample_rows, and get_stats, allowing direct interaction with the loaded dataset.

Does this MCP server approach work with pandas and numpy data formats?▼

Yes, this MCP server approach works with pandas and numpy dependencies to load and process data formats like csv, json, xlsx, and parquet, wiring them into a read-only queryable interface.

What is the best way to make a synthetic dataset queryable by Claude without writing server code?▼

The best way to make a synthetic dataset queryable by Claude without writing server code is using this Skill to spin up a read-only MCP server, which automatically wires the necessary query tools for table interaction.