Fivetran MCP Server
OfficialRelated Servers
Alternatives to Fivetran MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to query and manage Datadog observability data including metrics, logs, traces, and monitors through natural language. Supports read-only operations by default for security.MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with Databricks workspaces through natural language, supporting SQL queries, cluster management, jobs, Genie AI, Unity Catalog, and more.MIT
- FlicenseNot gradedqualityCmaintenanceEnables natural-language querying of Postgres and MongoDB databases in read-only mode, with PII masking and row/timeout guardrails, from any MCP client.-
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to manage Fivetran users and connections, including inviting users, listing connections, and triggering syncs.-
- AlicenseAqualityCmaintenanceEnables interaction with an Airbyte instance through natural language, supporting workspaces, sources, destinations, connections, jobs, logs, tags, streams, and connector definitions.365Apache 2.0
- AlicenseAqualityDmaintenanceEnables natural language interactions with Salesforce data, metadata, and reports, including report creation, discovery, and schema inspection.219 npm1MIT
TDQS
Scored across 22 tools
Tools are mostly distinct by Fivetran resource category (account, connections, destinations, users, etc.), and meta-tools like list_endpoints and get_schema serve unique discovery/schema roles. Minor overlap exists between metadata_read and public_read, and all category tools share a near-identical 'pass endpoint name' template, but boundaries remain clear.
All names use snake_case; category tools consistently follow [resource]_read, and meta-tools use list_endpoints/get_schema. A fully uniform verb_noun pattern is not achieved because read tools are noun_read, but the convention is predictable and readable.
22 tools is above the typical 3-15 range and feels heavy, with many single-endpoint category wrappers (e.g., roles_read, public_read, account_read) that could have been consolidated. Each tool still maps to a meaningful API category, so it is borderline rather than excessive.
The surface is entirely read-only, with no create/update/delete/merge operations for any Fivetran resource, so common lifecycle tasks (creating a connector, updating a destination, deleting a user) are impossible. Read coverage is broad across categories, but the absence of write operations is a significant gap for a Fivetran management server.