Datanika MCP vs MCP Server Apache Airflow
A side-by-side look at the Datanika MCP 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.
Verdict: choose Datanika MCP 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?
Choose Datanika MCP when
- You need dedicated capabilities in the Data Platforms domain.
- You prefer a local stdio subprocess transport.
Choose 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.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Data Platforms | Data Platforms |
| Quality signal | 40/100 · Fair | 61/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | API key required |
| Pricing | Not declared | Free |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 178 |
| Directory activity | 0 views 0 installs 0 upvotes | 4 views 0 installs 0 upvotes |
| Tools | Not listed | 68 |
| Full listing | View Datanika MCP | View MCP Server Apache Airflow |
Tools & capabilities
Datanika MCP tools
No tool names declared yet. Check the project README from the listing page.
MCP Server Apache Airflow tools 68
get_configGet current configurationget_valueGet a specific option from configurationlist_connectionsList all connectionscreate_connectionCreate a connectionget_connectionGet a connection by IDupdate_connectionUpdate a connection by IDdelete_connectionDelete a connection by IDtest_connectionTest a connectionfetch_dagsFetch all DAGsget_dagGet a DAG by IDget_dag_detailsGet a simplified representation of DAGget_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.
Datanika MCP
{
"mcpServers": {
"datanika-mcp": {
"command": "uvx",
"args": [
"datanika-mcp"
]
}
}
}
MCP Server Apache Airflow
{
"mcpServers": {
"yangkyeongmo-mcp-server-apache-airflow": {
"command": "uvx",
"args": [
"mcp-server-apache-airflow"
]
}
}
}
Frequently asked questions
Datanika MCP 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 Datanika MCP 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.
Datanika MCP has no declared pricing — check the project's own site. 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 datanika-mcp 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, Datanika MCP has a quality signal of 40/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. MCP Server Apache Airflow has 61/100 (Good) with 4 views, 0 installs and 178 GitHub stars.