---
title: "atlassian-mcp-server vs dbt-mcp"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/atlassian-atlassian-mcp-server-vs-dbt-labs-dbt-mcp"
tools: ["atlassian-atlassian-mcp-server", "dbt-labs-dbt-mcp"]
---

# atlassian-mcp-server vs dbt-mcp

*GraphCanon updated Jul 27, 2026*

## Verdict

Pick atlassian-mcp-server if the atlassian-mcp-server is an official repository designed to bridge Atlassian products including Jira, Confluence, and Bitbucket with AI tools via the Model Context Protocol using OAuth 2.1 or API tokens; pick dbt-mcp if dbt-mcp offers a specialized MCP server for dbt interaction, supporting data analytics and engineering tasks in Python under the Apache-2.0 license.

[atlassian-mcp-server](https://atlassian.com/platform/rovo-mcp) reports 910 GitHub stars, 116 forks, and 71 open issues, last pushed Jul 8, 2026. [dbt-mcp](https://github.com/dbt-labs/dbt-mcp) has 595 stars, 128 forks, and 35 open issues, last pushed Jul 24, 2026. Figures are from public GitHub metadata via [atlassian-mcp-server's repository](https://github.com/atlassian/atlassian-mcp-server) and [dbt-mcp's repository](https://github.com/dbt-labs/dbt-mcp).

| | [atlassian-mcp-server](/tools/atlassian-atlassian-mcp-server.md) | [dbt-mcp](/tools/dbt-labs-dbt-mcp.md) |
| --- | --- | --- |
| Tagline | Official MCP server for integrating Atlassian products with AI tools through OAuth and API tokens | A MCP server for interacting with dbt |
| Stars | 910 | 595 |
| Forks | 116 | 128 |
| Open issues | 71 | 35 |
| Language | JavaScript | Python |
| Adopt for | The atlassian-mcp-server is an official repository designed to bridge Atlassian products including Jira, Confluence, and Bitbucket with AI tools via the Model Context Protocol using OAuth 2.1 or API tokens. | dbt-mcp offers a specialized MCP server for dbt interaction, supporting data analytics and engineering tasks in Python under the Apache-2.0 license. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | dbt-mcp operates under the permissive Apache-2.0 license which allows free use for both commercial and non-commercial purposes. |
| Categories | AI Agents, Developer Tools | Data & Retrieval |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [atlassian-mcp-server](/tools/atlassian-atlassian-mcp-server.md) | [dbt-mcp](/tools/dbt-labs-dbt-mcp.md) |
| --- | --- | --- |
| Maintenance | Active (82%) | Very active (96%) |
| Days since push | 18d | 2d |
| Open issues (now) | 71 | 35 |
| Full report | [trust report](/tools/atlassian-atlassian-mcp-server/trust.md) | [trust report](/tools/dbt-labs-dbt-mcp/trust.md) |

## Decision facts: atlassian-mcp-server

- **Adopt for:** The atlassian-mcp-server is an official repository designed to bridge Atlassian products including Jira, Confluence, and Bitbucket with AI tools via the Model Context Protocol using OAuth 2.1 or API tokens.

## Decision facts: dbt-mcp

- **Pricing:** freemium - Freely available with no direct cost, ideal for projects without budget constraints but seeking flexibility.
- **Requirements:** Ensure you have Python and dbt installed to utilize dbt-mcp effectively.; Advanced knowledge of data engineering and analytics best practices is required to make the most out of dbt-mcp's MCP capabilities.
- **Adopt for:** dbt-mcp offers a specialized MCP server for dbt interaction, supporting data analytics and engineering tasks in Python under the Apache-2.0 license.
- **License detail:** dbt-mcp operates under the permissive Apache-2.0 license which allows free use for both commercial and non-commercial purposes.

## Choose when

### Choose atlassian-mcp-server if…

- atlassian-mcp-server is primarily JavaScript; dbt-mcp is Python.
- Tags unique to atlassian-mcp-server: ai, atlassian, bitbucket, chatgpt.
- Also covers AI Agents, Developer Tools.
- When needing secure integration of Atlassian apps with AI like ChatGPT or VS Code through modern authentication

### Choose dbt-mcp if…

- dbt-mcp is primarily Python; atlassian-mcp-server is JavaScript.
- Pricing: Freely available with no direct cost, ideal for projects without budget constraints but seeking flexibility..
- Requirements: Ensure you have Python and dbt installed to utilize dbt-mcp effectively.; Advanced knowledge of data engineering and analytics best practices is required to make the most out of dbt-mcp's MCP capabilities..
- Tags unique to dbt-mcp: data-analytics, data-engineering, dbt, llm.
- Also covers Data & Retrieval.
- dbt-mcp ships Docker support for self-hosted deployment.
- You are working with dbt and need to implement the Model Context Protocol (MCP) for more precise project management.

## When NOT to use atlassian-mcp-server

- If only generic third-party integrations without official Atlassian support are required
- For environments that do not allow OAuth 2.1 or API token-based authentication methods

## When NOT to use dbt-mcp

- If your project does not require interaction through the Model Context Protocol with dbt, opting for a generic data processing tool might be simpler and less resource-intensive.
- When the primary goal is model training or prediction without focusing on dbt workflow management via MCP, alternative tools may serve better.

## Common questions

### What is the difference between atlassian-mcp-server and dbt-mcp?

atlassian-mcp-server: Official MCP server for integrating Atlassian products with AI tools through OAuth and API tokens. dbt-mcp: A MCP server for interacting with dbt. See the comparison table for live GitHub stats and shared categories.

### When should I choose atlassian-mcp-server over dbt-mcp?

Choose atlassian-mcp-server over dbt-mcp when atlassian-mcp-server is primarily JavaScript; dbt-mcp is Python; Tags unique to atlassian-mcp-server: ai, atlassian, bitbucket, chatgpt; Also covers AI Agents, Developer Tools; When needing secure integration of Atlassian apps with AI like ChatGPT or VS Code through modern authentication.

### When should I choose dbt-mcp over atlassian-mcp-server?

Choose dbt-mcp over atlassian-mcp-server when dbt-mcp is primarily Python; atlassian-mcp-server is JavaScript; Pricing: Freely available with no direct cost, ideal for projects without budget constraints but seeking flexibility.; Requirements: Ensure you have Python and dbt installed to utilize dbt-mcp effectively.; Advanced knowledge of data engineering and analytics best practices is required to make the most out of dbt-mcp's MCP capabilities.; Tags unique to dbt-mcp: data-analytics, data-engineering, dbt, llm; Also covers Data & Retrieval; dbt-mcp ships Docker support for self-hosted deployment; You are working with dbt and need to implement the Model Context Protocol (MCP) for more precise project management.

### When should I avoid atlassian-mcp-server?

If only generic third-party integrations without official Atlassian support are required For environments that do not allow OAuth 2.1 or API token-based authentication methods

### When should I avoid dbt-mcp?

If your project does not require interaction through the Model Context Protocol with dbt, opting for a generic data processing tool might be simpler and less resource-intensive. When the primary goal is model training or prediction without focusing on dbt workflow management via MCP, alternative tools may serve better.

### Is atlassian-mcp-server or dbt-mcp more popular on GitHub?

atlassian-mcp-server has more GitHub stars (910 vs 595). Stars measure visibility, not whether either tool fits your constraints.

### Are atlassian-mcp-server and dbt-mcp open source?

Yes - both are open-source projects on GitHub (atlassian-mcp-server: Apache-2.0, dbt-mcp: Apache-2.0).

### Where can I find alternatives to atlassian-mcp-server or dbt-mcp?

GraphCanon lists graph-backed alternatives at [atlassian-mcp-server alternatives](/tools/atlassian-atlassian-mcp-server/alternatives) and [dbt-mcp alternatives](/tools/dbt-labs-dbt-mcp/alternatives) ([atlassian-mcp-server markdown twin](/tools/atlassian-atlassian-mcp-server/alternatives.md), [dbt-mcp markdown twin](/tools/dbt-labs-dbt-mcp/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/atlassian-atlassian-mcp-server-vs-dbt-labs-dbt-mcp.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, atlassian-mcp-server or dbt-mcp?

atlassian-mcp-server: Active. dbt-mcp: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for atlassian-mcp-server and dbt-mcp?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [atlassian-mcp-server trust report](/tools/atlassian-atlassian-mcp-server/trust); [dbt-mcp trust report](/tools/dbt-labs-dbt-mcp/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=atlassian-atlassian-mcp-server`](/api/graphcanon/graph?tool=atlassian-atlassian-mcp-server)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
