Skip to main content
Glama

Convex MCP server

Official
by get-convex
setup-guide.md4.19 kB
--- name: Setup Guide title: Fivetran for Convex | Destination Setup Guide description: Read step-by-step instructions on how to connect your Convex deployment as a destination using Fivetran. menuPosition: 0 hidden: true --- # Convex Setup Guide {% badge text="Partner-Built" /%} {% availabilityBadge connector="convex_destination" /%} Follow our setup guide to connect Fivetran to Convex as a destination. > NOTE: This destination is [partner-built](/docs/partner-built-program). For any questions related to the Convex destination and its documentation, refer to Convex's support team. For SLA details, see [Convex's Status and Guarantees documentation](https://docs.convex.dev/production/state). --- ## Prerequisites To connect your Convex deployment to Fivetran, you need the following: - A [Convex account](https://dashboard.convex.dev). - A Convex deployment. See [Convex's documentation](https://docs.convex.dev/) to get started. - Your Convex deployment's URL (e.g., `https://jaded-raven-991.convex.cloud`). - Your Convex deployment's deploy key. You can find both the deployment URL and deploy key on the [Production Deployment Settings](https://docs.convex.dev/dashboard/deployments/deployment-settings) page. --- ## Setup instructions ### <span class="step-item">Find your deployment credentials</span> 1. Go to your deployment on the [Convex Dashboard](https://dashboard.convex.dev/). 2. Go to the [Production Deployment Settings](https://docs.convex.dev/dashboard/deployments/deployment-settings). 3. Find your **deployment URL** and **deploy key** and make a note of them. You will need them to configure Fivetran. ### <span class="step-item">Complete Fivetran configuration</span> 1. Log in to your [Fivetran account](https://fivetran.com/login). 2. Go to the **Destinations** page and click **Add destination**. 3. Enter a **Destination name** of your choice and then click **Add**. 4. Select Convex as the destination type. 5. Enter your [deployment credentials](#findyourdeploymentcredentials). 6. Click **Save & Test**. Fivetran tests and validates connection to your Convex deployment. ### <span class="step-item">Using Convex destination with a source connector</span> 1. In your Fivetran dashboard, click **Connectors > Add Connector**. 2. Select and configure a data source of your choice. 3. Select the [Convex destination you connected to](#completefivetranconfiguration). 4. Start your initial sync by clicking **Sync Now**. 5. The initial sync may fail with a user action to update [convex/schema.ts](https://docs.convex.dev/database/schemas). Follow the instructions in the error message to update your `schema.ts`. The error message will give you code to copy-paste into your `schema.ts`. It may take around 20 minutes for the error to appear. 6. Deploy your `schema.ts` with `npx convex deploy`. 7. Retry your initial sync by clicking **Sync Now**. The example below is a sample `schema.ts` for a source with a single table `email.cars`. ```typescript import { defineSchema, defineTable } from "convex/server"; import { v } from "convex/values"; const fivetranTables = { email_cars: defineTable({ description: v.union(v.string(), v.null()), fivetran: v.object({ columns: v.object({ directory: v.union(v.string(), v.null()), file: v.union(v.string(), v.null()), line: v.union(v.int64(), v.null()), modified: v.union(v.float64(), v.null()), }), synced: v.float64(), }), make: v.union(v.string(), v.null()), model: v.union(v.string(), v.null()), price: v.union(v.float64(), v.null()), year: v.union(v.int64(), v.null()), }) .index("by_fivetran_synced", ["fivetran.synced"]) .index("by_primary_key", [ "fivetran.columns.directory", "fivetran.columns.file", "fivetran.columns.line", "fivetran.columns.modified", ]), }; export default defineSchema({ ...fivetranTables, }); ``` --- ## Related articles [<i aria-hidden="true" class="material-icons">description</i> Destination Overview](/docs/destinations/convex) <b> </b> [<i aria-hidden="true" class="material-icons">home</i> Documentation Home](/docs/getting-started)

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/get-convex/convex-backend'

If you have feedback or need assistance with the MCP directory API, please join our Discord server