Install
$ agentstack add mcp-dlt-hub-dlt-mcp ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README — it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming — see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps — measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →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 (MCP) server allows the LLM to retrieve up-to-date and correct information about your 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 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[...]
{
"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 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.
- gettableschemas: Returns the schema of the specified tables.
- executesqlquery: Executes a SELECT SQL statement for simple data analysis.
- getloadtable: Retrieves metadata about data loaded with dlt.
- getpipelinelocal_state: Fetches the state information of the pipeline, including incremental dates, resource state, and source state.
- gettableschema_diff: Compares the current schema of a table with another version and provides a diff.
- searchdocs: Searches over the
dltdocumentation using different modes (hybrid, fulltext, 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
- Source: 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.
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Versions
- v0.1.0 Imported from the upstream source.