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#Data Analysis

#Data Analysis MCP Servers

Discover 11 MCP servers tagged with Data Analysis on the Vinkius App Catalog.

Snowflake MCP Server

Snowflake MCP Server

11 tools

Execute SQL queries, manage databases, and analyze data on Snowflake with AI agents.

Wolfram Alpha MCP Integration

Wolfram Alpha MCP Integration

5 tools

Solve math, science, and engineering queries with computational intelligence.

Google Cloud Logging Stream MCP Server

Google Cloud Logging Stream MCP Server

1 tools

This MCP does exactly one thing: it queries logs using Google Cloud Logging. That's its only function, and nothing else. Incredible for giving your AI secure observability.

GovCon API

GovCon API

4 tools

Manage government contracts. Audit opportunities and agencies via AI.

Zoho Sheet MCP Server

Zoho Sheet MCP Server

13 tools

Connect your AI agents to Zoho Sheet for spreadsheet management: workbooks, worksheets, cell data, rows, and sharing.

Junip MCP

Junip MCP

10 tools

Manage product reviews, questions, and campaigns via Junip API.

Proforms MCP

Proforms MCP

12 tools

Online form builder and data collection.

HHS Open Payments

HHS Open Payments

6 tools

Access the HHS Open Payments database to search for physicians, teaching hospitals, and financial relationships in the healthcare industry.

Chi-Square Test Engine MCP

Chi-Square Test Engine MCP

1 tools

Run exact Chi-Square independence tests on contingency tables local. Get CPU-guaranteed chi² statistics and p-values for categorical analysis.

Upstream Lens MCP Integration

Upstream Lens MCP Integration

8 tools

Monitor upstream oil and gas operations with production data analytics, well performance tracking, and field reporting tools.

Data Analysis Prover MCP

Data Analysis Prover MCP

1 tools

A marketing team asked an AI to analyze campaign data. The AI reported 'significant correlation between email frequency and purchase rate (p<0.05).' The team tripled emails. Unsubscribes spiked 340%. Sample: N=47 self-selected respondents, no power analysis. Correlation: observational, no confounders. Distribution: right-skewed but mean used. p=0.043 but Cohen's d=0.12. Trivial. Chart: truncated Y-axis making a 2% difference look enormous. This tool forces five axes: sample validity, causal inference, distribution awareness, significance with effect size, and visualization integrity.