Skip to main content

dbt MCP Server

OpenSSF Best Practices

This MCP (Model Context Protocol) server provides various tools to interact with dbt. You can use this MCP server to provide AI agents with context of your project in dbt Core, dbt Fusion, and dbt Platform.

Read our documentation here to learn more. This blog post provides more details for what is possible with the dbt MCP server.

Feedback

If you have comments or questions, create a GitHub Issue or join us in the community Slack in the #tools-dbt-mcp channel.

Architecture

The dbt MCP server architecture allows for your agent to connect to a variety of tools.

architecture diagram of the dbt MCP server

Examples

Commonly, you will connect the dbt MCP server to an agent product like Claude or Cursor. However, if you are interested in creating your own agent, check out the examples directory for how to get started.

Contributing

Read CONTRIBUTING.md for instructions on how to get involved!

Metadata

Release files for iflow-mcp_dbt-mcp 1.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for iflow-mcp_dbt-mcp 1.0.1
File Size Uploaded
iflow_mcp_dbt_mcp-1.0.1.tar.gz 73.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for iflow-mcp_dbt-mcp 1.0.1
File Interpreter ABI Platform
iflow_mcp_dbt_mcp-1.0.1-py3-none-any.whl Python 3 none any Details

Total release size: 186.9 kB

Release files / iflow_mcp_dbt_mcp-1.0.1.tar.gz

Download URL iflow_mcp_dbt_mcp-1.0.1.tar.gz
Size 73.9 kB
Tags Source
SHA-256 checksum
How to use checksums
2b201dd09ab2e85215d18c69ce3817fe642054d62a3afd112fe50cab1e94ee6a
BLAKE2b-256 checksum
How to use checksums
d46104c400a5ce8df3e3e3c7ae60bdc94e9e3ac2c0492b16590e1f0b7c9788c4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.8.17

Release files / iflow_mcp_dbt_mcp-1.0.1-py3-none-any.whl

Download URL iflow_mcp_dbt_mcp-1.0.1-py3-none-any.whl
Size 112.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
f245dff6e8da97a06c92f0d21393b08dd7cbdab6ae85f52fe07dd6c56a8abd58
BLAKE2b-256 checksum
How to use checksums
2ea8b1175072c723a7aca1fbf36d3c288dd6d0c5a7cb6ba73307f4fdbeffc6d3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.8.17

Release history Release notifications | RSS feed

This release

1.0.1 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page