data-profiler-mcp
Profiles tabular data files (CSV, Parquet, Excel, JSON) for LLM agents. It provides schema analysis, statistical distributions, data-quality flags, and dtype suggestions via structured JSON responses. Supports tools for profiling datasets, previewing data, deep-diving into column statistics, detecting quality issues, suggesting data type optimizations, comparing datasets, and calculating correlation matrices.
Package and access
Local package with source-attributed installation metadata. Koskamo does not execute packages during review.
Checks and signals
Each line is separate evidence, not a trust score.
- Popularity 3 GitHub stars
What you can do with it
- Profile dataset shape, memory usage, and missing-value summaries
- Detect data quality issues like duplicates, high-missing columns, and mixed types
- Suggest memory-saving dtype recommendations for numeric and categorical columns
- Compare two datasets to identify added/removed columns and dtype changes
Source and maintenance
- Last repository push
- Latest release
- v0.4.0
- Maintenance checked
Packages and installation
Source-provided package data. Koskamo has not executed or live-probed this package.
data-profiler-mcp 0.4.0
{
"version": "0.4.0",
"transport": "stdio",
"identifier": "data-profiler-mcp",
"runtimeHint": "uvx",
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org"
}Tools
Reported by the attributed source; not independently observed by Koskamo.
Maintenance history
Public check and source-refresh events. Editorial and ownership records remain private.
- · repository · passed · metadata changed · updated
- · backfill · recorded · Pre-expansion baseline; unobserved rich metadata remains unknown
Connect from your client
Each snippet configures the same source-provided package; replace placeholders before use.
Cursor
{
"mcpServers": {
"data-profiler-mcp": {
"command": "uvx",
"args": [
"data-profiler-mcp==0.4.0"
]
}
}
}Cline
{
"mcpServers": {
"data-profiler-mcp": {
"command": "uvx",
"args": [
"data-profiler-mcp==0.4.0"
]
}
}
}VS Code
{
"servers": {
"data-profiler-mcp": {
"type": "stdio",
"command": "uvx",
"args": [
"data-profiler-mcp==0.4.0"
]
}
}
}Claude Desktop
{
"mcpServers": {
"data-profiler-mcp": {
"command": "uvx",
"args": [
"data-profiler-mcp==0.4.0"
]
}
}
}Let your agent find its tools
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