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.3646 PyPI5Apache 2.0
- AlicenseAqualityDmaintenanceEnables natural language interactions with Salesforce data, metadata, and reports, including report creation, discovery, and schema inspection.214 npm1MIT
TDQS
Scored across 22 tools
Most tools map to distinct Fivetran API resource categories, making selection straightforward. However, external_secrets_managers_read and external_secrets_managers_entities_read overlap in scope and could confuse an agent.
The bulk of tools follow a consistent {category}_read convention, and list_endpoints/get_schema are also clear. Minor inconsistency exists between verb-first meta tools and noun-first category tools, but the pattern is otherwise predictable.
22 tools is above the ideal range and several categories contain only one endpoint, making the surface feel inflated. That said, each tool maps to a real Fivetran API area, so the count is still defensible for an API explorer.
The tool set is entirely read-only; there are no create, update, delete, or sync operations. While read coverage across Fivetran categories is extensive, the lack of write of management tools is a significant gap for a general Fivetran server.