A side-by-side look at the Datanika Core and Datanika MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Datanika Core for data platforms work as a local process; choose Datanika MCP 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 Core when
You need dedicated capabilities in the Data Platforms domain.
No tool names declared yet. Check the project README from the listing page.
Datanika MCP tools
No tool names declared yet. Check the project README from 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 Core is categorized under Data Platforms and uses a local stdio subprocess. Datanika MCP belongs to Data Platforms and uses a local stdio subprocess. Pick Datanika Core for data platforms work and Datanika MCP 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 Core is listed as free. Auth: oauth 2.0. Datanika MCP has no declared pricing — check the project's own site. 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-io-datanika-core and datanika-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Datanika Core has a quality signal of 51/100 (Good) with 2 views, 0 installs and 0 GitHub stars. Datanika MCP has 40/100 (Fair) with 0 views, 0 installs and 0 GitHub stars.