AWS Data Processing vs Databricks MCP Server
AWS Data Processing is an MCP server published by awslabs. Marketplaces we read that list it: 1 (Docker MCP Catalog). Databricks MCP Server is an MCP server published by pramodbhatofficial. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-17. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.
Where each is published
| Marketplace |  AWS Data Processing |  Databricks MCP Server |
|---|---|---|
| Docker MCP Catalog | Listed Version: sha256:8dc85c2f47b4 Forks (GitHub): 1 812 Pulls (Docker Hub): 31 091 Stars (Docker Hub): 0 Stars (GitHub): 9 782 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 0.1.0 Downloads/month (PyPI): 206 Downloads/week (PyPI): 49 Forks (GitHub): 1 Stars (GitHub): 0 Not marked · First seen |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
The facts side by side
| Fact | AWS Data Processing | Databricks MCP Server |
|---|---|---|
| Marketplaces that list it | 1 | 1 |
| Stars (GitHub) (differs) | 9 782 (better) | 0 (worse) |
| Pulls (Docker Hub) (differs) | 31 091 | No figure on Docker Hub |
| Forks (GitHub) (differs) | 1 812 (better) | 1 (worse) |
| Last release | Not published | Not published |
| Where it runs (differs) | On your machine (mcp/aws-dataprocessing-mcp-server) | On your machine (databricks-sdk-mcp) |
| Transport | stdio | stdio |
| Tools it declares (differs) | 32 | Not published |
| Environment variables it asks for (differs) | 2, secrets among them: 0 | 3, secrets among them: 1 |
| Licence (differs) | Apache-2.0 | Not stated |
| Repository (differs) | github.com/awslabs/mcp | github.com/pramodbhatofficial/databricks-mcp-server |
| Changes in the last 7 days | 0 | 0 |
| First seen | 2026-10-11 | 2026-10-11 |
Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.
What each says it does
AWS Data Processing
Data processing and transformation services.
Databricks MCP Server
263 tools for Databricks: Unity Catalog, SQL, Compute, Jobs, Serving, and more.
How to run each
AWS Data Processing As a local MCP server: Docker image
claude mcp add --transport stdio aws-dataprocessing -- docker run -i --rm mcp/aws-dataprocessing-mcp-serverDatabricks MCP Server As a local MCP server: PyPI package
claude mcp add --env "DATABRICKS_HOST=<YOUR_DATABRICKS_HOST>" --env "DATABRICKS_TOKEN=<YOUR_DATABRICKS_TOKEN>" --transport stdio databricks-sdk-mcp -- uvx databricks-sdk-mcpRequires: DATABRICKS_HOST, DATABRICKS_TOKEN (secret)
Commands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
The marketplaces of Databricks MCP Server publish no list of tools, so we do not compare tools.
Settings each asks for
Only AWS Data Processing asks for
AWS_PROFILEAWS_REGION
Only Databricks MCP Server asks for
DATABRICKS_HOSTDATABRICKS_MCP_TOOLS_INCLUDEDATABRICKS_TOKEN (secret)
Settings as each marketplace publishes them. Asking for fewer is not better in itself.
What it can do: AWS Data Processing · What it can do: Databricks MCP Server · Compare two other plugins
Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.