pulsemcp verified Safe content atomic mcp-remote

Fivetran

This MCP server provides Fivetran data pipeline management through the Fivetran REST API, enabling AI assistants to invite users, list connections, and trigger data syncs programmatically. Built using Python with FastMCP and the requests library, it offers three core tools for user management (invite_fivetran_user with email, name, and phone parameters), connection discovery (list_connections returning comma-separated connection IDs), and sync operations (sync_connection that unpauses and forces synchronization by connection ID). The implementation features environment-based authentication via FIVETRAN_AUTH_TOKEN, comprehensive logging, and includes both a standalone Fivetran connector SDK component and the main MCP server, making it valuable for data pipeline automation workflows, team onboarding processes, and building AI assistants that need programmatic access to Fivetran's data integration platform without manual dashboard navigation.

Cognium trust score

99%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: devops-ci
Source: PulseMCP
Repository: github.com/andrewkkchan/mcp_fivetran
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Fivetran from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"