databricks-transform-mcp
Provides integration with Snowflake for data transformation and management tasks via the Coalesce API.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@databricks-transform-mcplist all nodes in my dev environment"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
databricks-transform-mcp
A Databricks App that hosts the Coalesce Transform MCP server over HTTP so Databricks Genie can connect to it.
How it works
Genie / AI Agent
│
│ HTTPS (Databricks App proxy handles auth)
▼
Databricks App (uvicorn + server.py)
│
│ Python MCP SDK bridges HTTP ↔ stdio
▼
coalesce-transform-mcp (npm package, 100+ tools)
│
▼
Coalesce API + Snowflakeserver.py uses the Python MCP SDK to spin up coalesce-transform-mcp as a subprocess, then exposes its tools over Streamable HTTP via a Starlette/uvicorn ASGI app.
Endpoint | Path | Use for |
Streamable HTTP |
| Genie, newer MCP clients |
Health |
| Databricks App health checks |
Related MCP server: Snowflake Cortex AI MCP Server
Prerequisites
Databricks workspace with Apps enabled
Coalesce access token (Coalesce Deploy → Settings → API Tokens)
Node.js ≥ 22 on the App cluster (needed to run
npx coalesce-transform-mcp)Python ≥ 3.11
1. Store the Coalesce token in Databricks Secrets
# Create a secret scope (skip if it already exists)
databricks secrets create-scope coalesce-mcp
# Store your Coalesce API token
databricks secrets put-secret coalesce-mcp coalesce-access-token
# paste your token when prompted2. Link the secret to the app via the UI
Databricks Apps injects secrets as env vars only after they're linked to the app through the UI:
In Databricks, go to Compute → Apps and open (or create) the app
Click Edit app → App resources → + Add resource → Secret
Set:
Scope:
coalesce-mcpKey:
coalesce-access-tokenResource key:
coalesce-access-token← must matchvalueFrominapp.yamlPermission:
Can read
Save and redeploy
This is what wires the COALESCE_ACCESS_TOKEN env var in app.yaml to the actual secret value.
3. Deploy
Push this repo to a Databricks Git Folder, then deploy:
databricks apps deploy coalesce-transform-mcp \
--source-code-path /Workspace/Repos/<your-user>/databricks-transform-mcpOr via the Apps UI:
Compute → Apps → Create App → Custom
Point to this Git Folder
Click Deploy
On first deploy, pip install -r requirements.txt runs automatically, then uvicorn starts.
3. Connect Genie
In Genie, go to Settings → MCP Servers → Add
Set the endpoint to the Streamable HTTP path:
https://<workspace-host>/apps/coalesce-transform-mcp/mcpAuth is handled automatically by the Databricks App proxy
Environment Variables
Variable | Required | Description |
| Yes | Bearer token from Coalesce Deploy |
| No | Region base URL (default: |
| No | Path to local Coalesce repo for repo-backed tools |
| No | Set |
| No | Snowflake account for run/create operations |
| No | Snowflake user |
| No | Snowflake private key (PEM) |
Local Testing
pip install -r requirements.txt
export COALESCE_ACCESS_TOKEN=your-token
export COALESCE_BASE_URL=https://app.australia-southeast1.gcp.coalescesoftware.io
uvicorn server:app --host 0.0.0.0 --port 8000Test the MCP endpoint:
curl -X POST http://localhost:8000/mcp \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","method":"tools/list","id":1}'This server cannot be installed
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