Fasttransfer MCP

Name: Fasttransfer MCP
Author: arpe-io

by arpe-ioversion 0.1.6i★ –iRuns on your computer

Registry nameio.github.arpe-io/fasttransfer-mcp

Install

Overview

Description from the maker (original English)

MCP server for FastTransfer — high-performance parallel data transfer between databases

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: FASTTRANSFER_PATH, FASTTRANSFER_TIMEOUT, FASTTRANSFER_LOG_DIR, LOG_LEVEL

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "fasttransfer": {
      "command": "uvx",
      "args": [
        "fasttransfer-mcp"
      ],
      "env": {
        "FASTTRANSFER_PATH": "your-value",
        "FASTTRANSFER_TIMEOUT": "your-value",
        "FASTTRANSFER_LOG_DIR": "your-value",
        "LOG_LEVEL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add fasttransfer --env FASTTRANSFER_PATH=your-value --env FASTTRANSFER_TIMEOUT=your-value --env FASTTRANSFER_LOG_DIR=your-value --env LOG_LEVEL=your-value -- uvx fasttransfer-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "fasttransfer": {
      "command": "uvx",
      "args": [
        "fasttransfer-mcp"
      ],
      "env": {
        "FASTTRANSFER_PATH": "your-value",
        "FASTTRANSFER_TIMEOUT": "your-value",
        "FASTTRANSFER_LOG_DIR": "your-value",
        "LOG_LEVEL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "fasttransfer": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "fasttransfer-mcp"
      ],
      "env": {
        "FASTTRANSFER_PATH": "your-value",
        "FASTTRANSFER_TIMEOUT": "your-value",
        "FASTTRANSFER_LOG_DIR": "your-value",
        "LOG_LEVEL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

FASTTRANSFER_PATH env
Path to the FastTransfer binary (optional — server runs in preview-only mode without it)
FASTTRANSFER_TIMEOUT env
Execution timeout in seconds (default: 1800)
FASTTRANSFER_LOG_DIR env
Directory for execution logs (default: ./logs)
LOG_LEVEL env
Logging level: DEBUG, INFO, WARNING, ERROR (default: INFO)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account arpe-io, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 32709 servers in this category
Published to the registry more recently than 4% of the other 32709 servers in this category
Basic checks equal to or better than 100% of the other 32709 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Fasttransfer MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.6) reached the registry 8 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, SwarmMemo

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

FastTransfer MCP Server

A Model Context Protocol (MCP) server that exposes FastTransfer functionality for efficient data transfer between various database systems.

Overview

FastTransfer is a high-performance CLI tool for transferring data between databases. This MCP server wraps FastTransfer functionality and provides:

Safety-first approach: Preview commands before execution with user confirmation required
Password masking: Credentials and connection strings are never displayed in logs or output
Intelligent validation: Parameter validation with database-specific compatibility checks
Smart suggestions: Automatic parallelism method recommendations
Version detection: Automatic binary version detection with capability registry
Comprehensive logging: Full execution logs with timestamps and results

MCP Tools

1. `preview_transfer_command`

Build and preview a FastTransfer command WITHOUT executing it. Shows the exact command with passwords masked. Always use this first.

2. `execute_transfer`

Execute a previously previewed command. Requires confirmation: true as a safety mechanism.

3. `validate_connection`

Validate database connection parameters (parameter check only, does not test actual connectivity).

4. `list_supported_combinations`

List all supported source-to-target database combinations.

5. `suggest_parallelism_method`

Recommend the optimal parallelism method based on source database type and table characteristics.

6. `get_version`

Report the detected FastTransfer binary version, supported types, and feature flags.

Installation

Prerequisites

Python 3.10 or higher
FastTransfer binary v0.16+ (obtain from Arpe.io)
Claude Code or another MCP client

Setup

Clone or download this repository:

   cd /path/to/fasttransfer-mcp

Install Python dependencies:

   pip install -r requirements.txt

Configure environment:

   cp .env.example .env

Edit .env with your FastTransfer path

Add to Claude Code configuration (~/.claude.json):

"mcpServers": { "fasttransfer": { "type": "stdio", "command": "python", "args": ["/absolute/path/to/fasttransfer-mcp/src/server.py"], "env": { "FASTTRANSFER_PATH": "/absolute/path/to/fasttransfer/FastTransfer" } } } }

Restart Claude Code to load the MCP server.

Verify installation:

   # In Claude Code, run:

/mcp

You should see "fasttransfer: connected"

Configuration

Environment Variables

Edit .env to configure:

# Path to FastTransfer binary (required)

FASTTRANSFER_PATH=./fasttransfer/FastTransfer

Execution timeout in seconds (default: 1800 = 30 minutes)

FASTTRANSFER_TIMEOUT=1800

Log directory (default: ./logs)

FASTTRANSFER_LOG_DIR=./logs

Log level (default: INFO)

LOG_LEVEL=INFO

Connection Options

The server supports multiple ways to authenticate and connect:

Parameter	Description
`server`	Host:port or host\instance (optional with `connect_string` or `dsn`)
`user` / `password`	Standard credentials
`trusted_auth`	Windows trusted authentication
`connect_string`	Full connection string (excludes server/user/password/dsn)
`dsn`	ODBC DSN name (excludes server/provider)
`provider`	OleDB provider name
`file_input`	File path for data input (source only, excludes query)

Transfer Options

Option	CLI Flag	Description
`method`	`--method`	Parallelism method
`distribute_key_column`	`--distributeKeyColumn`	Column for data distribution
`degree`	`--degree`	Parallelism degree (0=auto, >0=fixed, <0=CPU adaptive)
`load_mode`	`--loadmode`	Append or Truncate
`batch_size`	`--batchsize`	Batch size for bulk operations
`map_method`	`--mapmethod`	Column mapping: Position or Name
`run_id`	`--runid`	Run ID for logging
`data_driven_query`	`--datadrivenquery`	Custom SQL for DataDriven method
`use_work_tables`	`--useworktables`	Intermediate work tables for CCI
`settings_file`	`--settingsfile`	Custom settings JSON file
`log_level`	`--loglevel`	Override log level (error/warning/information/debug/fatal)
`no_banner`	`--nobanner`	Suppress banner output
`license_path`	`--license`	License file path or URL

Usage Examples

PostgreSQL to SQL Server Transfer

User: "Copy the 'orders' table from PostgreSQL (localhost:5432, database: sales_db,

schema: public) to SQL Server (localhost:1433, database: warehouse, schema: dbo). Use parallel transfer and truncate the target first."

Claude Code will:

Call suggest_parallelism_method to recommend Ctid for PostgreSQL
Call preview_transfer_command with your parameters
Show the command with masked passwords
Explain what will happen
Ask for confirmation
Execute with execute_transfer when you approve

File Import via DuckDB Stream

User: "Import /data/export.parquet into the SQL Server 'staging' table

using DuckDB stream."

Claude Code will use duckdbstream source type with file_input parameter.

Check Version and Capabilities

User: "What version of FastTransfer is installed?"

Claude Code will call get_version and display the detected version, supported source/target types, and available features.

Two-Step Safety Process

This server implements a mandatory two-step process:

Preview - Always use preview_transfer_command first
Execute - Use execute_transfer with confirmation: true

You cannot execute without previewing first and confirming.

Security

Passwords and connection strings are masked in all output and logs
Sensitive flags masked: --sourcepassword, --targetpassword, --sourceconnectstring, --targetconnectstring, -x, -X, -g, -G
Use environment variables for sensitive configuration
Review commands carefully before executing
Use minimum required database permissions

Testing

Run the test suite:

# Run all tests

python -m pytest tests/ -v

Run with coverage

python -m pytest tests/ --cov=src --cov-report=html

Project Structure

fasttransfer-mcp/

src/ init.py server.py # MCP server (tool definitions, handlers) fasttransfer.py # Command builder, executor, suggestions validators.py # Pydantic models, enums, validation version.py # Version detection and capabilities registry tests/ init.py test_command_builder.py test_validators.py test_version.py .env.example requirements.txt CHANGELOG.md README.md

License

This MCP server wrapper is provided as-is. FastTransfer itself is a separate product from Arpe.io.

Fasttransfer MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

SwarmMemo

README from the maker

FastTransfer MCP Server

Overview

MCP Tools

1. preview_transfer_command

2. execute_transfer

3. validate_connection

4. list_supported_combinations

5. suggest_parallelism_method

6. get_version

Installation

Prerequisites

Setup

Edit .env with your FastTransfer path

You should see "fasttransfer: connected"

Configuration

Environment Variables

Execution timeout in seconds (default: 1800 = 30 minutes)

Log directory (default: ./logs)

Log level (default: INFO)

Connection Options

Transfer Options

Usage Examples

PostgreSQL to SQL Server Transfer

File Import via DuckDB Stream

Check Version and Capabilities

Two-Step Safety Process

Security

Testing

Run with coverage

Project Structure

License

Related Links

1. `preview_transfer_command`

2. `execute_transfer`

3. `validate_connection`

4. `list_supported_combinations`

5. `suggest_parallelism_method`

6. `get_version`