Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
MCP server for Fivetran API - manage syncs, check status, and control data pipelines
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
FIVETRAN_API_KEY, FIVETRAN_API_SECRETValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"fivetran": {
"command": "uvx",
"args": [
"fivetran-mcp"
],
"env": {
"FIVETRAN_API_KEY": "your-value",
"FIVETRAN_API_SECRET": "your-value"
}
}
}
}Run this in your terminal
claude mcp add fivetran --env FIVETRAN_API_KEY=your-value --env FIVETRAN_API_SECRET=your-value -- uvx fivetran-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"fivetran": {
"command": "uvx",
"args": [
"fivetran-mcp"
],
"env": {
"FIVETRAN_API_KEY": "your-value",
"FIVETRAN_API_SECRET": "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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"fivetran": {
"type": "stdio",
"command": "uvx",
"args": [
"fivetran-mcp"
],
"env": {
"FIVETRAN_API_KEY": "your-value",
"FIVETRAN_API_SECRET": "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.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account YimingYAN, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: FIVETRAN_API_KEY, FIVETRAN_API_SECRET
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).
The GitHub repo last changed –, and the latest version (0.3.1) reached the registry 9 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Dialyne
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
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Note: This repository is built and maintained entirely by Claude Code, Anthropic's AI coding assistant.
An MCP (Model Context Protocol) server for controlling Fivetran data pipelines. Enables AI assistants like Claude to manage syncs, monitor connection status, and control data pipelines through natural language.
See Fivetran API Getting Started for more details.
Add to your ~/.env.local (or equivalent):
# Fivetran API
export FIVETRAN_API_KEY="your-api-key" export FIVETRAN_API_SECRET="your-api-secret"
Then reload:
source ~/.env.local
Test that your credentials work:
curl -s -X GET "https://api.fivetran.com/v1/account/info" \
-H "Accept: application/json" \ -H "Authorization: Basic $(echo -n "$FIVETRAN_API_KEY:$FIVETRAN_API_SECRET" | base64)"
Expected response:
{"code":"Success","data":{"account_id":"...","account_name":"..."}}
Add to your ~/.claude.json:
{
"mcpServers": { "fivetran": { "type": "stdio", "command": "uvx", "args": ["fivetran-mcp@latest"], "env": { "FIVETRAN_API_KEY": "${FIVETRAN_API_KEY}", "FIVETRAN_API_SECRET": "${FIVETRAN_API_SECRET}" } } } }
Restart Claude Code to load the new MCP server. You should now have access to Fivetran tools.
| Tool | Description |
|---|---|
list_connections | List all connections, optionally filtered by group |
get_connection_status | Get detailed status including tasks, warnings, and sync details |
trigger_sync | Start a sync for a connection (optional force flag) |
trigger_resync | Trigger full historical resync |
resync_tables | Resync specific tables only (e.g., ["schema.table_name"]) |
pause_connection | Pause a connection |
resume_connection | Resume a paused connection |
list_groups | List all groups/destinations |
test_connection | Run diagnostic tests to identify connectivity/configuration issues |
| Tool | Description |
|---|---|
get_connection_schema | Get schema info with optional table filter (includes columns when filtering) |
get_schema | Get complete raw schema configuration for a connection |
list_tables | List all tables with enabled status and sync mode |
get_table_columns | Get column details for a specific table |
reload_schema | Refresh schema configuration from the source |
The following capabilities are not available via Fivetran's REST API:
| Capability | Status | Notes |
|---|---|---|
| Column data types | Not available | Query your destination database directly for type info |
| Sync history/logs | Not available | Fivetran uses Log Service which streams to external destinations |
| Detailed error logs for past syncs | Not available | Only current tasks/warnings are accessible |
| Row-level sync status | Not available | Not exposed via API |
| Data quality metrics | Not available | Not exposed via API |
For sync logs and historical data, consider setting up Fivetran's Log Service to stream logs to your data warehouse.
The server supports two naming conventions:
| Preferred | Alternative |
|---|---|
FIVETRAN_API_KEY | FIVETRAN_SYNC_API_KEY |
FIVETRAN_API_SECRET | FIVETRAN_SYNC_API_SECRET |
# Clone the repository
git clone https://github.com/YimingYAN/fivetran-mcp.git cd fivetran-mcp
uv sync
uv run fivetran-mcp
Deploy to Cloudflare Workers for a hosted MCP endpoint:
cd cloudflare
uv tool install workers-py npx wrangler login npx wrangler secret put FIVETRAN_API_KEY npx wrangler secret put FIVETRAN_API_SECRET uv run pywrangler deploy
See cloudflare/README.md for detailed instructions.
MIT