{
  "id": "06-fivetran",
  "slug": "fivetran",
  "normalized_name": "fivetran",
  "name": "Fivetran",
  "vendor_url": "fivetran.com",
  "category": "revops-infra",
  "what_it_does": "Managed ELT pipeline platform; for GTM purposes, the relevant piece is its Salesforce/HubSpot/Marketo/Outreach/Salesloft/Gong/Zendesk connectors that land CRM and GTM-tool data in a warehouse, plus (post-Census) its \"Activations\" reverse-ETL product for pushing data back out to those same tools.",
  "ai_features": "Mostly plain data pipeline - the AI positioning is largely about being \"AI-ready\" infrastructure for downstream agents rather than AI inside the product itself. The one genuinely agentic piece is the official MCP server, which lets an AI assistant query/manage connections conversationally - that is real, not just marketing.",
  "mcp_status": "official",
  "mcp_url": "https://github.com/fivetran/fivetran-mcp",
  "mcp_auth": "API key + API secret via env vars, generated from the Fivetran dashboard. Scoped permission tiers (read / read-write / read-write-delete) with a configurable disallowed-actions carve-out; confirms with the user before write/delete operations.",
  "api_gate": "free - the REST API is available on all Fivetran plans including the free trial; the Free plan is self-serve (500K MAR/mo for connections, 3,500 MAR for activations, 5,000 MMR for transformations, no payment info required).",
  "revops_role": "Core data-plumbing layer of a RevOps stack - lands CRM/marketing/sales-engagement data into the warehouse and, via Activations, pushes it back out so it can be modeled and reused across GTM tools.",
  "tier": "RESEARCHED",
  "last_checked": "2026-08-24",
  "sources": "https://www.fivetran.com/, https://www.fivetran.com/pricing, https://fivetran.com/docs/activations, https://fivetran.com/docs/connectors/applications, https://fivetran.com/docs/rest-api, https://github.com/fivetran/fivetran-mcp",
  "notes": "Confirmed GTM-relevant connectors include Salesforce, HubSpot, Pipedrive, Copper, Close, Marketo, Pardot, Braze, Klaviyo, Outreach, Salesloft, Apollo, Reply.io, Zendesk, Intercom, Freshdesk, Help Scout, LinkedIn Ad Analytics, Google Ads, and Gong. See the Census entry above - that product now lives inside Fivetran as Activations.",
  "mcp_status_bucket": "official",
  "api_gate_bucket": "free",
  "mcp_urls": [
    "https://github.com/fivetran/fivetran-mcp"
  ],
  "source_urls": [
    "https://www.fivetran.com/",
    "https://www.fivetran.com/pricing",
    "https://fivetran.com/docs/activations",
    "https://fivetran.com/docs/connectors/applications",
    "https://fivetran.com/docs/rest-api",
    "https://github.com/fivetran/fivetran-mcp"
  ],
  "source_annotations": [],
  "vendor_domain": "fivetran.com",
  "display_name": "Fivetran",
  "docs_url": null,
  "jobs": [
    "sync-records-between-systems"
  ],
  "jobs_tagged_by": "machine-pass",
  "jobs_tagged_on": "2026-08-25",
  "github_url": null,
  "github_stars": null,
  "github_last_commit": null,
  "github_archived": null,
  "github_fetched_on": null,
  "github_candidates": [
    "https://github.com/fivetran/fivetran-mcp",
    "https://github.com/fivetran/fivetran-mcp"
  ],
  "docs_digest": null,
  "docs_last_crawled": null,
  "submission": null,
  "mcp_tools": [
    {
      "name": "get_schema",
      "description": null,
      "required_params": [],
      "evidence": "source",
      "repo_party": "first-party",
      "source_party": null,
      "risk": "read"
    },
    {
      "name": "list_endpoints",
      "description": null,
      "required_params": [],
      "evidence": "source",
      "repo_party": "first-party",
      "source_party": null,
      "risk": "read"
    }
  ],
  "mcp_tool_count": 2,
  "mcp_tools_evidence": "source",
  "mcp_tools_repo": "fivetran/fivetran-mcp",
  "mcp_tools_repo_party": "first-party",
  "mcp_catalog_shape": "fixed",
  "mcp_catalog_note": null,
  "mcp_tools_fetched_on": "2026-09-27",
  "cli_status": "official",
  "cli_party": "first",
  "cli_binary": "fivetran-cli",
  "cli_install": [
    {
      "cmd": "pip install fivetran-cli",
      "manager": "pypi",
      "source_url": "https://pypi.org/project/fivetran-cli/",
      "party": "first",
      "fetched_on": "2026-09-27"
    }
  ],
  "cli_login": null,
  "cli_commands_seen": [],
  "cli_docs_url": null,
  "cli_repo": null,
  "cli_packages": [
    {
      "kind": "pypi",
      "package": "fivetran-cli",
      "version": "1.0.0",
      "party": "first",
      "url": "https://pypi.org/project/fivetran-cli/"
    },
    {
      "kind": "pypi",
      "package": "fivetran-cli",
      "version": "1.0.0",
      "party": "first",
      "url": "https://pypi.org/project/fivetran-cli/"
    }
  ],
  "cli_evidence": "pypi",
  "cli_checked_on": "2026-09-27",
  "github_org": "fivetran",
  "github_org_status": "resolved",
  "github_org_url": "https://github.com/fivetran",
  "github_org_evidence": {
    "rule": "rule 1",
    "url": "https://github.com/fivetran/fivetran-mcp",
    "matched_domain": "fivetran.com",
    "via": "website",
    "detail": "account website https://fivetran.com has the vendor's domain",
    "confidence": "strong",
    "candidates_rejected": []
  },
  "github_org_repos": 144,
  "github_org_repos_mcp": 2,
  "github_org_repos_cli": 1,
  "github_org_latest_activity": "2026-09-08T15:31:52Z",
  "github_org_recent_repos": [
    {
      "name": "fivetran_sdk_tools",
      "url": "https://github.com/fivetran/fivetran_sdk_tools",
      "kind": "sdk",
      "description": "Local testing tools for Partner SDK and Connector SDK",
      "stars": 0,
      "pushed_at": "2026-09-08",
      "latest_release": "2.26.0908.001"
    },
    {
      "name": "great_expectations",
      "url": "https://github.com/fivetran/great_expectations",
      "kind": "other",
      "description": "Always know what to expect from your data.",
      "stars": 11776,
      "pushed_at": "2026-09-08",
      "latest_release": "1.22.0"
    },
    {
      "name": "community_connectors",
      "url": "https://github.com/fivetran/community_connectors",
      "kind": "sdk",
      "description": "Fivetran Connector SDK Connectors Catalog",
      "stars": 85,
      "pushed_at": "2026-09-08",
      "latest_release": null
    },
    {
      "name": "connector_sdk",
      "url": "https://github.com/fivetran/connector_sdk",
      "kind": "sdk",
      "description": "Build custom connectors on Fivetran's platform",
      "stars": 133,
      "pushed_at": "2026-09-07",
      "latest_release": null
    },
    {
      "name": "dbt_openai",
      "url": "https://github.com/fivetran/dbt_openai",
      "kind": "other",
      "description": null,
      "stars": 0,
      "pushed_at": "2026-09-04",
      "latest_release": null
    }
  ],
  "github_org_checked_on": "2026-09-08",
  "mcp_endpoint": null,
  "mcp_docs_url": "https://github.com/fivetran/fivetran-mcp",
  "endpoint_status": "repo-local",
  "endpoint_http_status": 200,
  "endpoint_last_probed": "2026-09-04",
  "endpoint_wall_note": null,
  "canonical": true,
  "canonical_id": "06-fivetran",
  "also_listed_in": [],
  "source_file": "06-revops-infra.md",
  "source_line": 357,
  "file_index": 15,
  "category_num": "06",
  "category_slug": "revops-infra",
  "category_label": "RevOps Infra",
  "heading": "Fivetran (GTM connectors)",
  "missing_schema_fields": [],
  "extra_fields": {},
  "display_rank": 22
}
