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

# atlassian-mcp-server vs concierge

*GraphCanon updated Sep 20, 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 concierge if concierge is a Python-based universal SDK designed for developing next-generation MCP servers that facilitate advanced chatbot applications and automation services leveraging AI agents.

[atlassian-mcp-server](https://atlassian.com/platform/rovo-mcp) reports 1.0k GitHub stars, 132 forks, and 96 open issues, last pushed Sep 15, 2026. [concierge](https://platform.getconcierge.app) has 531 stars, 99 forks, and 55 open issues, last pushed Jun 9, 2026. Figures are from public GitHub metadata via [atlassian-mcp-server's repository](https://github.com/atlassian/atlassian-mcp-server) and [concierge's repository](https://github.com/concierge-hq/concierge).

| | [atlassian-mcp-server](/tools/atlassian-atlassian-mcp-server.md) | [concierge](/tools/concierge-hq-concierge.md) |
| --- | --- | --- |
| Tagline | Official MCP server for integrating Atlassian products with AI tools through OAuth and API tokens | Universal SDK for building next-gen MCP servers |
| Stars | 1,047 | 531 |
| Forks | 132 | 99 |
| Open issues | 96 | 55 |
| 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. | Concierge is a Python-based universal SDK designed for developing next-generation MCP servers that facilitate advanced chatbot applications and automation services leveraging AI agents. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Other |
| Categories | AI Agents, Developer Tools | AI Agents, Developer Tools |

## Trust and health

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

| | [atlassian-mcp-server](/tools/atlassian-atlassian-mcp-server.md) | [concierge](/tools/concierge-hq-concierge.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Slowing (36%) |
| Days since push | 4d | 103d |
| Open issues (now) | 96 | 55 |
| Stars delta | +137 (30d) | -1 (30d) |
| Open issues delta | +25 (30d) | 0 (30d) |
| Full report | [trust report](/tools/atlassian-atlassian-mcp-server/trust.md) | [trust report](/tools/concierge-hq-concierge/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: concierge

- **Adopt for:** Concierge is a Python-based universal SDK designed for developing next-generation MCP servers that facilitate advanced chatbot applications and automation services leveraging AI agents.

## Choose when

### Choose atlassian-mcp-server if…

- atlassian-mcp-server is primarily JavaScript; concierge is Python.
- License: atlassian-mcp-server is Apache-2.0, concierge is Other.
- Tags unique to atlassian-mcp-server: ai, atlassian, bitbucket, chatgpt.
- When needing secure integration of Atlassian apps with AI like ChatGPT or VS Code through modern authentication

### Choose concierge if…

- concierge is primarily Python; atlassian-mcp-server is JavaScript.
- License: concierge is Other, atlassian-mcp-server is Apache-2.0.
- Tags unique to concierge: agentic-ai, agents, automation, llm.
- concierge ships Docker support for self-hosted deployment.
- When you need to build self-hosted, sophisticated chatbot applications requiring integration with MCP protocols and workflow automation technologies.

## 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 concierge

- Avoid if you are working in environments that do not support Python or require SDK functionalities for languages other than Python.
- Not suitable for projects that are constrained by licenses outside the provided 'Other' license category, which may limit interoperability and contribution freedoms.

## Common questions

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

atlassian-mcp-server: Official MCP server for integrating Atlassian products with AI tools through OAuth and API tokens. concierge: Universal SDK for building next-gen MCP servers. See the comparison table for live GitHub stats and shared categories.

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

Choose atlassian-mcp-server over concierge when atlassian-mcp-server is primarily JavaScript; concierge is Python; License: atlassian-mcp-server is Apache-2.0, concierge is Other; Tags unique to atlassian-mcp-server: ai, atlassian, bitbucket, chatgpt; When needing secure integration of Atlassian apps with AI like ChatGPT or VS Code through modern authentication.

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

Choose concierge over atlassian-mcp-server when concierge is primarily Python; atlassian-mcp-server is JavaScript; License: concierge is Other, atlassian-mcp-server is Apache-2.0; Tags unique to concierge: agentic-ai, agents, automation, llm; concierge ships Docker support for self-hosted deployment; When you need to build self-hosted, sophisticated chatbot applications requiring integration with MCP protocols and workflow automation technologies.

### 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 concierge?

Avoid if you are working in environments that do not support Python or require SDK functionalities for languages other than Python. Not suitable for projects that are constrained by licenses outside the provided 'Other' license category, which may limit interoperability and contribution freedoms.

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

atlassian-mcp-server has more GitHub stars (1,047 vs 531). Stars measure visibility, not whether either tool fits your constraints.

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

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

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

GraphCanon lists graph-backed alternatives at [atlassian-mcp-server alternatives](/tools/atlassian-atlassian-mcp-server/alternatives) and [concierge alternatives](/tools/concierge-hq-concierge/alternatives) ([atlassian-mcp-server markdown twin](/tools/atlassian-atlassian-mcp-server/alternatives.md), [concierge markdown twin](/tools/concierge-hq-concierge/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-concierge-hq-concierge.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 concierge?

atlassian-mcp-server: Very active. concierge: Slowing. 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 concierge?

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