Fivetran
MCP server for Fivetran API - manage syncs, check status, and control data pipelines
What is Fivetran?
Fivetran is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for fivetran api - manage syncs, check status, and control data pipelines
MCP server for Fivetran API - manage syncs, check status, and control data pipelines
This server falls under the Cloud Services category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- MCP server for Fivetran API - manage syncs, check status, an
Use Cases
Maintainer
Works with
Installation
PIP
pip install fivetran-mcpManual Installation
pip install fivetran-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Fivetran
What is Fivetran?
Fivetran is a Model Context Protocol (MCP) server that mcp server for fivetran api - manage syncs, check status, and control data pipelines It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Fivetran?
Install via pip with: pip install fivetran-mcp. Then configure your AI client to connect to this MCP server.
Which AI clients work with Fivetran?
Fivetran works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Fivetran free to use?
Yes, Fivetran is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Cloud Services MCP Servers
Explore all cloud services servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Fivetran in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use Fivetran?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.