<h3 align="center"><i>The GenAI-powered toolkit for automated data intelligence.</i></h3>
If you already use Data Tools, the data tools mcp server is the piece that lets your assistant work with it directly. The GenAI-powered toolkit for automated data intelligence..
Intugle’s GenAI-powered open-source Python library builds a semantic data model over your existing data systems. At its core, it discovers meaningful links and relationships across data assets — enriching them with profiles, classifications, and business glossaries. With this connected knowledge layer, you can enable semantic search and auto-generate queries to create unified data products, making data integration and exploration faster, more accurate, and far less manual.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Installation — For Windows and Linux, you can follow these steps. For macOS, please see the additional steps in the macOS section belowmacOS — For macOS users, you may need to install the libomp library:Configuration — Before running the project, you need to configure a LLM. This is used for tasks like generating business glossaries and predicting links betweenUsage — Once you have built the semantic model, you can use the search method to perform a semantic search. The search function returns a pandas DataFrameConfiguration is passed through the environment: LLM_PROVIDER, OPENAI_API_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
The server ships on PyPI as uvx, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
This sits in the database access group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Data Tools's toolset — Installation, macOS, Configuration and 1 more — is a fair guide to whether it matches your workflow. It is maintained by intugle; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Data Tools's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Installation | For Windows and Linux, you can follow these steps. For macOS, please see the additional steps in the macOS section below. |
| macOS | For macOS users, you may need to install the libomp library: |
| Configuration | Before running the project, you need to configure a LLM. This is used for tasks like generating business glossaries and predicting links between tables. |
| Usage | Once you have built the semantic model, you can use the search method to perform a semantic search. The search function returns a pandas DataFrame containing the search results, including the column\'s profiling metrics, |
{
"mcpServers": {
"data-tools": {
"command": "uvx",
"args": ["uvx"],
"env": {
"LLM_PROVIDER": "your-value",
"OPENAI_API_KEY": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| LLM_PROVIDER | Configuration value read at startup. | Optional |
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
Read-only SQL access to Postgres — let your assistant inspect schemas and answer questions from real data.
Manage your whole Supabase project in conversation — database, auth, storage, Edge Functions and branches.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Metabase ships its own MCP endpoint — search your BI content, build and run queries, and save questions and dashboards without leaving the chat.
Official MongoDB server covering data, schemas and Atlas management — from find queries to spinning up clusters.
Serverless Postgres with database branching — point your assistant at Neon and let it work on disposable copies.