Data Profiler MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 161 installs a week from pypi. Last commit 9 Oct 2026.
Profiles CSV/Parquet/Excel/JSON files: schema, stats, quality flags and dtype tips for LLM agents.
Today is the operative word: we check Data Profiler MCP every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add data-profiler-mcp -- uvx data-profiler-mcp
{
"mcpServers": {
"data-profiler-mcp": {
"command": "uvx",
"args": [
"data-profiler-mcp"
]
}
}
}
[mcp_servers.data-profiler-mcp]
command = "uvx"
args = ["data-profiler-mcp"]
{
"mcpServers": {
"data-profiler-mcp": {
"command": "uvx",
"args": [
"data-profiler-mcp"
]
}
}
}
{
"servers": {
"data-profiler-mcp": {
"type": "stdio",
"command": "uvx",
"args": [
"data-profiler-mcp"
]
}
}
}
Profile local CSV, Parquet, JSON and Excel files into a compact data-quality summary.
Local data runtime for AI agents: query CSV, Excel, Parquet and JSON files with DuckDB SQL.
Every spreadsheet is a table: Excel, CSV, Parquet and JSON as SQL tables for AI agents.
Local MCP analysis for CSV, TSV, Excel, JSON and Parquet: summaries, outliers and relationships.
Tabular data for AI agents — load CSV/JSON/XLSX, query, group-by, stats (no database).
Read-only WHOOP v2 data for MCP clients, with local SQLite cache and CSV/JSONL/Parquet exports.
Read and filter Excel, ODS, CSV, SQLite, Parquet and MTSV files — or a directory — as plain text
Dev utilities for agents: JSON/YAML/CSV, schema validation, encoding, text & time. Free, no key.
Answers built from our own checks of this server.