Data and BI - official Fivetran server
Fivetran MCP server
Self-hosted Python MCP server from Fivetran's GitHub org that wraps the Fivetran REST API, letting an agent discover endpoints and inspect or manage connections, destinations and other resources. Read-only by default; write and delete scopes are opt-in. It runs locally from git+https://github.com/fivetran/fivetran-mcp (git) with API key auth.
Last verified 5 tools4 sources
Install
Claude Code
About Claude Codeclaude mcp add fivetran \
--env FIVETRAN_API_KEY=your-api-key \
--env FIVETRAN_API_SECRET=your-api-secret \
--env FIVETRAN_SCOPE=read \
--env DISALLOWED_ACTIONS=system-keys:read,users:read:get_user_api_key,users:read:list_api_keys,users:write:create_user_api_key,users:write:rotate_user_api_key,users:delete:delete_user_api_keys \
-- uvx --from git+https://github.com/fivetran/fivetran-mcp fivetran-mcpCodex
About Codexcodex mcp add fivetran \
--env FIVETRAN_API_KEY=your-api-key \
--env FIVETRAN_API_SECRET=your-api-secret \
--env FIVETRAN_SCOPE=read \
--env DISALLOWED_ACTIONS=system-keys:read,users:read:get_user_api_key,users:read:list_api_keys,users:write:create_user_api_key,users:write:rotate_user_api_key,users:delete:delete_user_api_keys \
-- uvx --from git+https://github.com/fivetran/fivetran-mcp fivetran-mcpCursor
About Cursor{
"mcpServers": {
"fivetran": {
"command": "uvx",
"args": ["--from", "git+https://github.com/fivetran/fivetran-mcp", "fivetran-mcp"],
"env": {
"FIVETRAN_API_KEY": "your-api-key",
"FIVETRAN_API_SECRET": "your-api-secret",
"FIVETRAN_SCOPE": "read",
"DISALLOWED_ACTIONS": "system-keys:read,users:read:get_user_api_key,users:read:list_api_keys,users:write:create_user_api_key,users:write:rotate_user_api_key,users:delete:delete_user_api_keys"
}
}
}
}Generic
{
"mcpServers": {
"fivetran": {
"command": "uvx",
"args": ["--from", "git+https://github.com/fivetran/fivetran-mcp", "fivetran-mcp"],
"env": {
"FIVETRAN_API_KEY": "your-api-key",
"FIVETRAN_API_SECRET": "your-api-secret",
"FIVETRAN_SCOPE": "read",
"DISALLOWED_ACTIONS": "system-keys:read,users:read:get_user_api_key,users:read:list_api_keys,users:write:create_user_api_key,users:write:rotate_user_api_key,users:delete:delete_user_api_keys"
}
}
}
}Tools
list_endpoints- Discover Fivetran API endpoints by category or search term.
get_schema- Return parameters, request body and response schema for an endpoint, optionally with service-specific config fields.
connections_read- Execute read endpoints in the connections group (one generated <resource>_<action> tool per allowed pair).
connections_write- Execute write endpoints in the connections group, such as sync_connection.
destinations_delete- Execute delete endpoints in the destinations group.
As documented on October 17, 2026. A running server reports its current list through tools/list.
Notes and caveats
- Published in Fivetran's official GitHub org (MIT, copyright Fivetran); the latest GitHub release is v0.5.1, published 2026-10-06, and pyproject.toml is already at 0.5.2.
- No support level is stated, and a November 2025 Fivetran blog post said Fivetran did not then have an officially supported MCP server.
- Not on PyPI under this name: the fivetran-mcp and mcp-fivetran PyPI names belong to unrelated projects, so install from the git URL.
- Uses a Fivetran API key and secret; FIVETRAN_SCOPE defaults to read, and the README recommends a DISALLOWED_ACTIONS denylist for credential endpoints.
- Execution tools are generated per resource/action pair, so the tool list varies with scope.
- Streamable HTTP mode takes Basic auth per request; OAuth resource-server mode is not yet functional.
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Related reading
- What's New in Mastra (Late 2026): Harness, AgentController GA, Eval Gates and MCP 2.xMastra in late 2026: goals, schedules, signals, AgentController GA, eval gates and MCP 2.x, with type-checked TypeScript examples and honest tradeoffs.
- MCP vs A2A vs Function Calling: Which Layer Does What in 2026MCP vs A2A vs function calling compared on the 2026-07-28 MCP spec and A2A 1.0: what each protocol does, where they overlap, and how to stack them.
- Pydantic AI V2 in Late 2026: Capabilities, Graphs, Evals and MCPPydantic AI V2 explained through v2.57.0: capabilities, typed output, Conversation storage, caching, graphs, evals, MCP Apps and Logfire, with checked code.
- Reverse Engineer Anything (REA): What the MCP Server Does and Where the Line IsREA (Reverse Engineer Anything) is an MIT-licensed MCP server that lets Claude Code, Codex or Cursor inspect binaries, Electron apps and APKs. How to try it.
- Claude Opus 5.5 Built a Browser 3D World: The Higgsfield MCP WorkflowClaude Opus 5.5 and Higgsfield MCP built an interactive 3D Library of Alexandria in the browser. The verified connector setup and where the workflow holds up.
- Pi 1.0 Release Guide: MCP, Codemode and Pi DurablePi 1.0 adds built-in MCP through Codemode, a fullscreen TUI by default and Pi Durable. What changed, how to install it, and what breaks on upgrade.
FAQ
What does the Fivetran MCP server do?
Self-hosted Python MCP server from Fivetran's GitHub org that wraps the Fivetran REST API, letting an agent discover endpoints and inspect or manage connections, destinations and other resources. Read-only by default; write and delete scopes are opt-in. The vendor documents 5 tools, including list_endpoints, get_schema, connections_read and connections_write.
How do I add the Fivetran MCP server to Claude Code?
Fivetran documents a Claude Code config; copy it from the Claude Code section of this page. Snippets for Codex, Cursor and Generic are there too.
Does the Fivetran MCP server need authentication?
Yes, API key. Transport: stdio, Streamable HTTP. Status: Unlabelled, last checked October 17, 2026.
Sources
Last verified against 4 Fivetran pages, then re-checked independently.
- raw.githubusercontent.comhttps://raw.githubusercontent.com/fivetran/fivetran-mcp/main/README.md
- raw.githubusercontent.comhttps://raw.githubusercontent.com/fivetran/fivetran-mcp/main/LICENSE
- raw.githubusercontent.comhttps://raw.githubusercontent.com/fivetran/fivetran-mcp/main/pyproject.toml
- fivetran.comhttps://www.fivetran.com/blog/integrate-data-faster-using-natural-language-fivetran-and-mcp
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