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Atlassian

Atlassian provides team collaboration and productivity software including Jira, Confluence, and Trello for software and business teams.

Primary category: Software
About this data
This page reflects public online discussion, collected and scored by automated systems and summarized using AI. It is not a statement of fact, not an audit, and not our own opinion of the product. Automated analysis can be incomplete or wrong, and scores carry the limitations described in our methodology. Companies can respond with their own perspective. See how this is calculated.

Updated July 13, 2026

Overall Pulse Score

35
Pulse Score

+6 over this period

A 0-100 index summarizing the tone of 166 relevant public mentions gathered from public online communities across 9 weeks in the selected period. It measures online sentiment, not a rating of the product's quality.

Weekly Sentiment Trend

Pulse Score by week over the selected period. Each point is one complete week of mentions.

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This week in public discussion

Discussion around Atlassian over the recent period skewed heavily negative, with bugs, integration shortcomings, and missing features dominating the conversation across 123 mentions. Commenters frequently flagged authentication failures, module errors, and OAuth token issues as persistent pain points, while reliability concerns also drew repeated attention. A smaller share of discussion praised certain features and integrations, and several mentions highlighted the value of MCP interfaces for Confluence and Jira. The overall tone reflects a frustrated user base with only modest pockets of positive sentiment.

Read the deeper analysis

AI-generated summary of public online discussion during this period. It reflects the tone of that discussion, not facts about the product or our views.

Sentiment mix by week

How the tone of public discussion splits each week.

Most-discussed praise

Good integrations14
Strong features11
Feature requests9
Easy to use2
New releases2

Most-discussed complaints

Bugs85
Lacking integrations53
Missing features47
Feature requests28
Reliability25

Themes across the selected period, with mention counts.

How Atlassian compares

Pulse Score over the selected period versus the top tracked competitors in Software.

Where the mentions come from

Share of the 166 relevant public mentions in the selected period, by source.

GitHub94% (156)
Hacker News6% (10)

Sample public mentions

Showing 5 of 166 analyzed public mentions in this period, with links to the original source. We do not reproduce full threads.

[BUG] [BUG] HTTP MCP connector to Atlassian /v1/mcp/authv2 fails with "Invalid context provided" while /v1/sse works with the same account. ### Preflight Checklist - [x] I have searched existing issues and this hasn't been reported yet - [x] This is a single bug report (please fi...

GitHubJun 17, 2026

Offer: Free MCP audit for mcp-atlassian. Hi! I have been using and following mcp-atlassian for a while - 5400+ stars is well-deserved. Having a proper MCP interface for Confluence and Jira is hugely valuable for AI agents that need to interact with project management and document...

GitHubJun 20, 2026

User mentions render as raw Account IDs when posting comments via MCP. When posting a Jira comment using an MCP client (specifically Gemini CLI), user mentions are not rendered correctly in the Jira UI. Instead of displaying the interactive user "chip" (e.g., @Name), the comment ...

GitHubFeb 26, 2026

claude.ai PagerDuty connector: OAuth authorize rejected — PagerDuty returns "Invalid or missing value for redirect_uri" for https://claude.ai/api/mcp/auth_callback. ## MCP server URL or name claude.ai **PagerDuty** connector → https://mcp.pagerduty.com/mcp (PagerDuty MCP Server v...

GitHubJun 11, 2026

ERR_MODULE_NOT_FOUND on connecting remote mcp servers. Version: Claude_Desktop-1.12603.1-x86_64.AppImage When trying to connect a remote MCP server (e.g. atlassian) - which was configured via enterprise.json, I get in main.log:

GitHubJun 16, 2026

287+ more analyzed mentions, full history, and theme breakdowns are part of Pro.

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Deeper analysis

  • Bug reports and integration complaints dominated discussion tone by a substantial margin over the four-week window.
  • Sentiment trended slightly downward overall, with a mid-period uptick that faded and a sharp drop in the most recent data.
  • Integrations split opinion sharply, appearing among both the most praised and most criticized themes in the same period.
  • Security and reliability concerns added an urgency to the critical end of discussion that went beyond typical feature frustration.
Praise themeMentions
Good integrations14
Strong features11
Feature requests9
Easy to use2
New releases2
Complaint themeMentions
Bugs85
Lacking integrations53
Missing features47
Feature requests28
Reliability25

Discussion about Atlassian over the four-week window was heavily weighted toward frustration, with bug reports dominating the complaint landscape by a wide margin. Commenters raised recurring issues around integration gaps and missing features, and the volume of bug-related mentions far outpaced any positive signals. The tone across sampled mentions ranged from terse technical bug filings to urgent security warnings, with one commenter flagging an exposed API token in a public repository and urging immediate credential rotation. That kind of alarm-level language colored portions of the discussion with a sense of platform risk rather than routine friction.

Sentiment moved in an uneven pattern across the window. Scores were notably low in the earlier dated observations, then climbed into the high thirties and briefly touched higher ground in mid-June as mention volume surged, suggesting a burst of engagement that carried mixed but somewhat improved tone. By early July, sentiment had dropped back sharply, with the most recent data point landing among the lowest in the tracked range. The overall direction, from the prior score to the current score, was slightly downward, reinforcing a picture of stagnating or mildly worsening public mood.

Praise did surface, with commenters recognizing integration strengths and specific features, and several mentions pointed to genuine enthusiasm around MCP interface capabilities for tools like Confluence and Jira in AI agent contexts. One commenter described the project as hugely valuable and noted strong community traction, which provided a counterpoint to the predominantly critical thread.

Opinion was most divided around integrations, which appeared in both the top praise and top complaint categories. Some commenters found integration capabilities a clear strength while others flagged them as a significant gap. Feature requests also straddled both sides, reflecting an engaged but impatient user base that sees potential but wants faster delivery.

AI-generated summary of public online discussion during this period. It reflects the tone of that discussion, not facts about the product or our views.

Member perspectives

Individual opinions from Pro members, posted over time. These are personal member views, not aggregated sentiment data.

Data summary

Total mentions analyzed (all time)
292
Mentions in selected period
166
Weeks in range
9
vs Software average (44)
Below by 9
Pricing
Free tier; paid plans available
Sources
GitHub (156), Hacker News (10)

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Atlassian

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