Datanika MCP

Name: Datanika MCP
Author: datanika-io

by datanika-ioversion 0.2.0i★ 0iRuns on your computer

Registry nameio.datanika/datanika-mcp

How to install

Overview

Description from the maker (original English)

Read-only-by-default MCP for Datanika: browse data, run dbt transforms, manage ELT pipelines.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Databases & datasets
You need to fill in: DATANIKA_API_KEY

Install

Pick the AI app you use, then copy the settings.

Passed 3/3 checks · Runs on your computer

First: which AI do you use?

ClaudeWeb · app · phoneChatGPTWebClaude CodeTerminalCursorCode editorVS CodeCode editorOtherOther apps

Pick your app and the steps appear below.

Works with Claude, with some setup first

You need a Datanika MCP key (sign up on the maker’s site, may cost money) · Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone

Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the Python (uv) download page ↗
Done
Sign up and create a Datanika MCP key
Open the maker’s site, sign up and create an API key for the next step. It may cost money.
How to get a key is in the maker’s README below
Done
Open the Claude desktop app’s settings file
SettingsDeveloperEdit Config
Done

Paste these settings and save the file

{
  "mcpServers": {
    "datanika": {
      "command": "uvx",
      "args": [
        "datanika-mcp"
      ],
      "env": {
        "DATANIKA_URL": "your-value",
        "DATANIKA_API_KEY": "your-value",
        "DATANIKA_ALLOW_WRITE": "your-value"
      }
    }
  }
}

Paste the key only into the app’s field, never into a chat or to anyone

Done

Quit Claude and open it again
Done
Try it
Use Datanika MCP and tell me what you can do for me, then show me one thing
✓ If Claude says it is using Datanika MCP or shows a Datanika MCP tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

ChatGPT cannot connect Datanika MCP yet

Datanika MCP runs on your computer, but ChatGPT can only connect servers that run on the web

What you can do instead

A · Use an app that can connect Datanika MCP

Steps for Claude →You need a Datanika MCP key (sign up on the maker’s site, may cost money) · Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
Steps for Claude Code →You need a Datanika MCP key (sign up on the maker’s site, may cost money) · Install Python (uv) on your computer first (one time)
Steps for Cursor →You need a Datanika MCP key (sign up on the maker’s site, may cost money) · Install Python (uv) on your computer first (one time)
Steps for VS Code →You need a Datanika MCP key (sign up on the maker’s site, may cost money) · Install Python (uv) on your computer first (one time)

B · Others in Databases & datasets that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Supabase✓ ChatGPT
Appwrite MCP✓ ChatGPT
Pg Aiguide✓ ChatGPT

Works with Claude Code, with some setup first

You need a Datanika MCP key (sign up on the maker’s site, may cost money) · Install Python (uv) on your computer first (one time)

Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the Python (uv) download page ↗
Done
Sign up and create a Datanika MCP key
Open the maker’s site, sign up and create an API key for the next step. It may cost money.
How to get a key is in the maker’s README below
Done
Open Terminal
Mac: press Command+Space and type Terminal · Windows: open PowerShell
Done
4
Paste this command and press Enter
```
claude mcp add datanika --env DATANIKA_URL=your-value --env DATANIKA_API_KEY=your-value --env DATANIKA_ALLOW_WRITE=your-value -- uvx datanika-mcp
```
Replace “your-value” with your key before pressing Enter
Paste the key only into the app’s field, never into a chat or to anyone
Done
Type /mcp in Claude Code
You should see Datanika MCP listed as connected
Done
Try it
Use Datanika MCP and tell me what you can do for me, then show me one thing
✓ If Claude Code says it is using Datanika MCP or shows a Datanika MCP tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor, with some setup first

You need a Datanika MCP key (sign up on the maker’s site, may cost money) · Install Python (uv) on your computer first (one time)

Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the Python (uv) download page ↗
Done
Sign up and create a Datanika MCP key
Open the maker’s site, sign up and create an API key for the next step. It may cost money.
How to get a key is in the maker’s README below
Done
Click this button to open Cursor
Open in Cursor
Cursor asks you to confirm; click Install
Done
Fill in your key
In the Datanika MCP settings, DATANIKA_URL, DATANIKA_API_KEY, DATANIKA_ALLOW_WRITE is empty; add your key and save
Paste the key only into the app’s field, never into a chat or to anyone
Done
Open the AI chat in Cursor in Agent mode
Done
Try it
Use Datanika MCP and tell me what you can do for me, then show me one thing
✓ If Cursor says it is using Datanika MCP or shows a Datanika MCP tool in the answer, you are connected

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code, with some setup first

You need a Datanika MCP key (sign up on the maker’s site, may cost money) · Install Python (uv) on your computer first (one time)

Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the Python (uv) download page ↗
Done
Sign up and create a Datanika MCP key
Open the maker’s site, sign up and create an API key for the next step. It may cost money.
How to get a key is in the maker’s README below
Done
Click this button to open VS Code
Open in VS Code
VS Code asks you to confirm; click Install
Done
Fill in your key
In the Datanika MCP settings, DATANIKA_URL, DATANIKA_API_KEY, DATANIKA_ALLOW_WRITE is empty; add your key and save
Paste the key only into the app’s field, never into a chat or to anyone
Done
Open the AI chat in VS Code in Agent mode
Done
Try it
Use Datanika MCP and tell me what you can do for me, then show me one thing
✓ If VS Code says it is using Datanika MCP or shows a Datanika MCP tool in the answer, you are connected

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use Datanika MCP💬 Discussion →

For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add datanika --env DATANIKA_URL=your-value --env DATANIKA_API_KEY=your-value --env DATANIKA_ALLOW_WRITE=your-value -- uvx datanika-mcp

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "datanika": {
      "command": "uvx",
      "args": [
        "datanika-mcp"
      ],
      "env": {
        "DATANIKA_URL": "your-value",
        "DATANIKA_API_KEY": "your-value",
        "DATANIKA_ALLOW_WRITE": "your-value"
      }
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "datanika": {
      "command": "uvx",
      "args": [
        "datanika-mcp"
      ],
      "env": {
        "DATANIKA_URL": "your-value",
        "DATANIKA_API_KEY": "your-value",
        "DATANIKA_ALLOW_WRITE": "your-value"
      }
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "datanika": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "datanika-mcp"
      ],
      "env": {
        "DATANIKA_URL": "your-value",
        "DATANIKA_API_KEY": "your-value",
        "DATANIKA_ALLOW_WRITE": "your-value"
      }
    }
  }
}

Values you fill in

DATANIKA_URL env
Datanika instance URL (defaults to https://app.datanika.io; set this for a self-hosted instance)
DATANIKA_API_KEY secret required env
Datanika API key (from Settings -> API Keys)
DATANIKA_ALLOW_WRITE env
Set to true to enable write/trigger tools (read-only by default)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

GitHub stars i: 0
Downloads per weeki: 15/wk
Verified domain: ✓ datanika.io
Licence i: AGPL-3.0
Connection: Runs on your computer
Transport: stdio
Latest versioni: 0.2.0
Categoryi: Databases & datasets
Published to registryi: Jul 21, 2026
Code last changedi: Nov 11, 2026
Maker: datanika-io
Packages: pypi: datanika-mcp
Repo: datanika-io/datanika-core
Registry status: Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

Claude Goose LM Studio Msty Studio Cherry Studio Cursor VS Code + GitHub Copilot Visual Studio Windsurf (Devin Desktop)Zed Kiro Cline Continue JetBrains AI Assistant Claude Code Codex CLI Gemini CLI OpenCode nodecode Warp LibreChat Raycast

All apps, with pros and cons →

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 12, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain datanika.io (the registry checks domain ownership)
✓ Pass
Still maintained
Code last changed yesterday
✓ Pass
Has a licence
Uses AGPL-3.0
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

User reviews

No reviews yet

Compared with others in Databases & datasetsi

More stars than 0% of the other 1170 servers in this category
Published to the registry more recently than 19% of the other 1170 servers in this category
Basic checks equal to or better than 100% of the other 1170 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Datanika MCP safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: DATANIKA_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed yesterday, and the latest version (0.2.0) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Dbx, MCP Toolbox for Databases, MCP Toolbox for Databases

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Dbx

Query databases from AI agents using connections configured in DBX.

by t8y2Widely used↓ 9.4K/wk★ 30KUpdated 6 months ago

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MCP Toolbox for Databases

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MCP Toolbox for Databases

MCP Toolbox for Databases enables your agent to connect to your database.

by googleapisWidely used★ 16.8KUpdated 8 months ago

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Datanika MCP Server

mcp-name: io.datanika/datanika-mcp

MCP server for Datanika — browse connections, preview data, compile and validate dbt transformations, monitor runs, and manage pipelines from Claude Desktop.

Read-only by default. Pass --allow-write to enable creating resources and triggering pipeline runs.

Install

# From PyPI (recommended)

uvx datanika-mcp --help

From git

uvx --from "git+https://github.com/datanika-io/datanika-core#subdirectory=datanika-mcp" datanika-mcp --help

Claude Desktop Configuration

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS, %APPDATA%\Claude\claude_desktop_config.json on Windows):

Read-only (recommended)

"mcpServers": { "datanika": { "command": "uvx", "args": [ "--from", "git+https://github.com/datanika-io/datanika-core#subdirectory=datanika-mcp", "datanika-mcp", "--url", "https://app.datanika.io", "--api-key", "YOUR_API_KEY" ] } } }

With write access

Environment variables

You can also configure via environment variables:

"mcpServers": { "datanika": { "command": "uvx", "args": [ "--from", "git+https://github.com/datanika-io/datanika-core#subdirectory=datanika-mcp", "datanika-mcp" ], "env": { "DATANIKA_URL": "https://app.datanika.io", "DATANIKA_API_KEY": "YOUR_API_KEY", "DATANIKA_ALLOW_WRITE": "true" } } } }

Available Tools

Always available (read-only)

Tool	Description
`get_agent_tiers`	Get the 5-tier agent capability stack
`get_connection_types`	List supported connection types with config schemas
`list_connections`	List all connections in the org
`get_connection`	Get connection details by ID
`introspect_connection`	List schemas/tables of a source connection
`preview_connection`	Preview first N rows of a table
`query_connection`	Execute a read-only SQL query
`compile_transformation`	Compile a dbt transformation (no execution)
`preview_transformation`	Compile + execute, return preview rows
`list_uploads`	List all uploads
`list_pipelines`	List all pipelines
`list_transformations`	List all transformations
`list_runs`	List runs with optional filters
`get_run`	Get run details by ID
`get_run_logs`	Get run logs
`list_catalog`	List catalog entries (source tables + dbt models)
`get_catalog_entry`	Get catalog entry details

Requires `--allow-write`

Tool	Description
`create_connection`	Create a new data connection
`create_upload`	Create a new upload (extract + load)
`create_pipeline`	Create a new pipeline (dbt orchestration)
`create_transformation`	Create a new dbt SQL transformation
`bulk_import`	Bulk-create resources from JSON v2 format
`trigger_upload`	Trigger an upload run
`trigger_pipeline`	Trigger a pipeline run
`trigger_transformation`	Trigger a transformation run

Self-hosted

Point --url at your instance. Use the backend port (8000) — 3000 is the Reflex frontend and serves no /api/v1:

datanika-mcp --url http://localhost:8000 --api-key etf_your_key

Releasing (maintainers)

datanika-mcp publishes to PyPI via GitHub Actions Trusted Publishing (OIDC — no stored API token). To cut a release (from master):

Bump version in pyproject.toml.
Tag and push — the tag version must match pyproject.toml:

   git tag mcp-v0.2.0

git push origin mcp-v0.2.0

The Release datanika-mcp to PyPI workflow builds the sdist + wheel and publishes. Verify: uvx datanika-mcp --help resolves from PyPI.

First-release setup: a one-time PyPI trusted-publisher must be configured (project datanika-mcp, repo datanika-io/datanika-core, workflow release-mcp.yml, environment pypi) before the first tag will publish. See the infra human-locker.

License

AGPL-3.0 — same as the core Datanika platform.

Datanika MCP

Overview

What you can do with it

Install

Install Python (uv)

Sign up and create a Datanika MCP key

Open the Claude desktop app’s settings file

Paste these settings and save the file

Quit Claude and open it again

Try it

What you can do instead

Install Python (uv)

Sign up and create a Datanika MCP key

Open Terminal

Paste this command and press Enter

Type /mcp in Claude Code

Try it

Install Python (uv)

Sign up and create a Datanika MCP key

Click this button to open Cursor

Fill in your key

Open the AI chat in Cursor in Agent mode

Try it

Install Python (uv)

Sign up and create a Datanika MCP key

Click this button to open VS Code

Fill in your key

Open the AI chat in VS Code in Agent mode

Try it

Installed on your computer

Values you fill in

At a glance

Which apps can use it

Related guides

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Discussion

User reviews

Compared with others in Databases & datasetsi

Common questions

Alternatives

Dbx

MCP Toolbox for Databases

MCP Toolbox for Databases

README from the maker

Datanika MCP Server

Install

From git

Claude Desktop Configuration

Read-only (recommended)

With write access

Environment variables

Available Tools

Always available (read-only)

Requires --allow-write

Self-hosted

Releasing (maintainers)

License

Requires `--allow-write`