# Dlt Mcp

> MCP server for the Python library dlt

- **Type:** MCP server
- **Install:** `agentstack add mcp-dlt-hub-dlt-mcp`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [dlt-hub](https://agentstack.voostack.com/s/dlt-hub)
- **Installs:** 0
- **Category:** [Data & Analytics](https://agentstack.voostack.com/c/data-and-analytics)
- **Latest version:** 0.1.0
- **License:** Apache-2.0
- **Upstream author:** [dlt-hub](https://github.com/dlt-hub)
- **Source:** https://github.com/dlt-hub/dlt-mcp
- **Website:** https://github.com/dlt-hub/dlt

## Install

```sh
agentstack add mcp-dlt-hub-dlt-mcp
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

data load tool (dlt) — MCP Server

  🚀 Follow this guide to create a dlt pipeline in 10mins with AI

## How is it useful?

Large language models (LLMs) know a lot about the world, but nothing about your specific code and data. 

The [Model Context Protocol](https://modelcontextprotocol.io/) (MCP) server allows the LLM to retrieve **up-to-date** and **correct** information about your [dlt](https://github.com/dlt-hub/dlt) pipelines, datasets, schema, etc. This significantly improves the development experience in AI-enabled IDEs (Copilot, Cursor, Continue, Claude Code, etc.)

## Installation

The package manager [uv](https://docs.astral.sh/uv/getting-started/installation/) is required to launch the MCP server.

Add this section to your MCP configuration file inside your IDE. Add your destination(s) in the extras `dlt-mcp[...]`

```json
{
  "name": "dlt",
  "command": "uv",
  "args": [
    "run",
    "--with",
    "dlt-mcp[duckdb]",
    "dlt-mcp",
  ],
}
```

>[!NOTE]
>The configuration file format varies slightly across IDEs

## Features
### Tools

The dlt MCP server provides [tools](https://modelcontextprotocol.io/specification/2025-11-25/server/tools) that allows the LLM to take actions:

- **list_pipelines**: Lists all available dlt pipelines. Each pipeline consists of several tables.
- **list_tables**: Retrieves a list of all tables in the specified pipeline.
- **get_table_schemas**: Returns the schema of the specified tables.
- **execute_sql_query**: Executes a SELECT SQL statement for simple data analysis.
- **get_load_table**: Retrieves metadata about data loaded with dlt.
- **get_pipeline_local_state**: Fetches the state information of the pipeline, including incremental dates, resource state, and source state.
- **get_table_schema_diff**: Compares the current schema of a table with another version and provides a diff.
- **search_docs**: Searches over the `dlt` documentation using different modes (hybrid, full_text, or vector) to verify features and identify recommended patterns.
- **search_code**: Searches the source code for the specified query and optional file path, providing insights into internal code structures and patterns.

## Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [dlt-hub](https://github.com/dlt-hub)
- **Source:** [dlt-hub/dlt-mcp](https://github.com/dlt-hub/dlt-mcp)
- **License:** Apache-2.0
- **Homepage:** https://github.com/dlt-hub/dlt

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/mcp-dlt-hub-dlt-mcp
- Seller: https://agentstack.voostack.com/s/dlt-hub
- Browse the marketplace: https://agentstack.voostack.com/browse

---
Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.