MCP Superset vs MCP Server Apache Airflow

A side-by-side look at the MCP Superset and MCP Server Apache Airflow MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

MCP Superset logoMCP SupersetData Platforms · Local subprocess (stdio)Full-featured Apache Superset MCP server with 135+ tools for dashboards, charts, datasets, SQL Lab, security (users, roles, RLS, groups), permissions audit, and 30+ built-in safety validations. Supports HTTP, SSE, and stdio transports.63GoodAuth: otherMCP Server Apache Airflow logoMCP Server Apache AirflowData Platforms · Local subprocess (stdio)MCP server that connects to Apache Airflow using official client.61GoodAuth: api key required

Verdict: choose MCP Superset for data platforms work as a local process; choose MCP Server Apache Airflow for data platforms as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

MCP Superset logoChoose MCP Superset when

  • You need dedicated capabilities in the Data Platforms domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: other.
  • You have the keys it needs: SUPERSET_BASE_URL, SUPERSET_USERNAME, SUPERSET_PASSWORD, SUPERSET_AUTH_PROVIDER, SUPERSET_SESSION_COOKIE, SUPERSET_SESSION_COOKIE_NAME, SUPERSET_MCP_HOST, SUPERSET_MCP_PORT.
  • You want tools like superset_dashboard_list, superset_dashboard_get, superset_dashboard_create.
Explore MCP Superset

MCP Server Apache Airflow logoChoose MCP Server Apache Airflow when

  • You need dedicated capabilities in the Data Platforms domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: API key required.
  • You want tools like get_config, get_value, list_connections.
Explore MCP Server Apache Airflow

Feature & specification comparison

Rows where the two servers differ are marked.

SpecMCP Superset logoMCP SupersetMCP Server Apache Airflow logoMCP Server Apache Airflow
CategoryData PlatformsData Platforms
Quality signal63/100 · Good61/100 · Good
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Local subprocess (stdio)
AuthotherAPI key required
PricingFreeFree
Required env varsSUPERSET_BASE_URLSUPERSET_USERNAMESUPERSET_PASSWORDSUPERSET_AUTH_PROVIDERSUPERSET_SESSION_COOKIESUPERSET_SESSION_COOKIE_NAMESUPERSET_MCP_HOSTSUPERSET_MCP_PORTNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars59180
Directory activity 5 views 0 installs 0 upvotes 6 views 0 installs 0 upvotes
Tools8068

Tools & capabilities

MCP Superset tools 80

  • superset_dashboard_listList dashboards with filtering and pagination
  • superset_dashboard_getGet dashboard details by ID
  • superset_dashboard_createCreate a new dashboard
  • superset_dashboard_updateUpdate dashboard properties
  • superset_dashboard_deleteDelete a dashboard (requires confirmation)
  • superset_dashboard_copyDuplicate a dashboard
  • superset_dashboard_publishPublish a draft dashboard
  • superset_dashboard_unpublishUnpublish a dashboard
  • superset_dashboard_chartsList charts in a dashboard
  • superset_dashboard_datasetsList datasets used by a dashboard
  • superset_dashboard_exportExport dashboard as ZIP (base64)
  • superset_dashboard_importImport dashboard from ZIP file
  • +68 more on the listing page

MCP Server Apache Airflow tools 68

  • get_configGet current configuration
  • get_valueGet a specific option from configuration
  • list_connectionsList all connections
  • create_connectionCreate a connection
  • get_connectionGet a connection by ID
  • update_connectionUpdate a connection by ID
  • delete_connectionDelete a connection by ID
  • test_connectionTest a connection
  • fetch_dagsFetch all DAGs
  • get_dagGet a DAG by ID
  • get_dag_detailsGet a simplified representation of DAG
  • get_dag_sourceGet a source code
  • +56 more on the listing page

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

MCP Superset

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "bintocher-mcp-superset": {
      "command": "uvx",
      "args": [
        "mcp-superset"
      ],
      "env": {
        "SUPERSET_BASE_URL": "YOUR_SUPERSET_BASE_URL_HERE",
        "SUPERSET_USERNAME": "YOUR_SUPERSET_USERNAME_HERE",
        "SUPERSET_PASSWORD": "YOUR_SUPERSET_PASSWORD_HERE",
        "SUPERSET_AUTH_PROVIDER": "YOUR_SUPERSET_AUTH_PROVIDER_HERE",
        "SUPERSET_SESSION_COOKIE": "YOUR_SUPERSET_SESSION_COOKIE_HERE",
        "SUPERSET_SESSION_COOKIE_NAME": "YOUR_SUPERSET_SESSION_COOKIE_NAME_HERE",
        "SUPERSET_MCP_HOST": "YOUR_SUPERSET_MCP_HOST_HERE",
        "SUPERSET_MCP_PORT": "YOUR_SUPERSET_MCP_PORT_HERE"
      }
    }
  }
}

MCP Server Apache Airflow

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "yangkyeongmo-mcp-server-apache-airflow": {
      "command": "uvx",
      "args": [
        "mcp-server-apache-airflow"
      ]
    }
  }
}

Frequently asked questions

MCP Superset is categorized under Data Platforms and uses a local stdio subprocess. MCP Server Apache Airflow belongs to Data Platforms and uses a local stdio subprocess. Pick MCP Superset for data platforms work and MCP Server Apache Airflow for data platforms.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

MCP Superset is listed as free. Auth: other. MCP Server Apache Airflow is listed as free. Auth: api key required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add bintocher-mcp-superset and yangkyeongmo-mcp-server-apache-airflow as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, MCP Superset has a quality signal of 63/100 (Good) with 5 views, 0 installs and 59 GitHub stars. MCP Server Apache Airflow has 61/100 (Good) with 6 views, 0 installs and 180 GitHub stars.