// SCAN REPORT

StatFlow

3 tools. 3 can modify or destroy data without limits.

3 write tools that can modify data. Rate limits recommended.

Last updated: 4 Jul 2026

3 can modify or destroy data

0 read-only

3 tools total

Community server · catalogue entry verified 04/07/2026

How to control StatFlow ↓

TOOL MAP

What StatFlow exposes to your agents

Read (0) Write / Execute (3) Destructive / Financial (0)

Running more than one server? Check your whole stack →

MOST DANGEROUS TOOLS

High Risk

The most dangerous StatFlow tools

Execute · High run_complete_analysis This tool orchestrates a complex, multi-step workflow that executes analysis operations across multiple systems (databases, Excel generation, Word document creation). Write · Medium generate_analysis_excel The tool retrieves data (Read component) but its primary action is to *generate and export* a new Excel file with analysis tables — a reversible write operation. Write · Medium generate_thesis_report This tool creates formatted Word documents with AI-powered insights, which is a reversible write operation.

3 of StatFlow's 3 tools can modify, destroy, or commit something on every call — and an agent calls them with no built-in limits.

POLICY

How to control StatFlow

PolicyLayer is an MCP gateway — it sits between your AI agents and StatFlow, and nothing reaches the server without passing your rules. These are the rules we recommend:

Rate limit write operations

{
  "generate_analysis_excel": {
    "limits": [
      {
        "counter": "generate_analysis_excel_per_hour",
        "window": "hour",
        "max": 30,
        "scope": "grant"
      }
    ]
  }
}

Prevents bulk unintended modifications from agents caught in loops.

Create a free account and register StatFlow — nothing to install.
Add these rules — paste them, or build them visually. Tune the limits to your setup.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

ENFORCE POLICY ON STATFLOW →

Instant setup, no code required.

FULL CATALOGUE

All 3 StatFlow tools

EXECUTE 1 tools

Execute run_complete_analysis 🎯 COMPLETE WORKFLOW: Run the entire experiment analysis from start to finish. Fetches data from all configure

WRITE 2 tools

Write generate_analysis_excel 📊 DB → EXCEL: Fetch participant data from configured databases and export to Excel with comprehensive analysi Write generate_thesis_report 📚 EXCEL → REPORT: Generate a professional academic report at Master

EXPLORE

Related servers

Other MCP servers with similar tools — same risk classification, starter policies for each.

FAQ

Questions about StatFlow

How do I prevent bulk modifications through StatFlow? +

The StatFlow server has 2 write tools including generate_analysis_excel, generate_thesis_report. Set a rate limit in your policy -- for example, 10 calls per hour prevents an agent from making more than 10 modifications per hour. PolicyLayer enforces this at the gateway, before calls reach StatFlow.

How many tools does the StatFlow MCP server expose? +

3 tools across 2 categories: Execute, Write. 0 are read-only. 3 can modify, create, or delete data.

How do I enforce a policy on StatFlow? +

Register the StatFlow MCP server in PolicyLayer, apply the suggested rules above (adjust the limits to your use case), and point your AI client at the PolicyLayer proxy URL instead of the server directly. Your agents keep the same tools; PolicyLayer evaluates every call against policy before it executes. Nothing to install, live in minutes.

Enforce policy on every StatFlow tool call.

Deterministic rules across all 3 StatFlow tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

ENFORCE POLICY ON STATFLOW →

Instant setup, no code required.

3 StatFlow tools catalogued and risk-classified — across an index of 43,000+ MCP servers.