RRepoGEO

REPOGEO REPORT · LITE

sooperset/mcp-atlassian

Default branch main · commit d8bc7869 · scanned 5/23/2026, 1:51:26 AM

GitHub: 5,251 stars · 1,192 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface sooperset/mcp-atlassian, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening sentence to clarify its role as an AI bridge

    Why:

    CURRENT
    Model Context Protocol (MCP) server for Atlassian products (Confluence and Jira).
    COPY-PASTE FIX
    MCP Atlassian is a Model Context Protocol (MCP) server designed to bridge Atlassian products (Confluence and Jira) with AI assistants and development environments, enabling AI to access and interact with enterprise knowledge and tasks.
  • mediumtopics#2
    Expand repository topics to include AI integration terms

    Why:

    CURRENT
    atlassian, confluence, jira, mcp
    COPY-PASTE FIX
    atlassian, confluence, jira, mcp, ai-integration, llm-tools, enterprise-ai, knowledge-base, developer-tools, context-protocol
  • mediumreadme#3
    Add a dedicated 'What Problem Does This Solve?' section to the README

    Why:

    COPY-PASTE FIX
    ## What Problem Does This Solve?
AI assistants often struggle to access and utilize up-to-date information from enterprise systems like Confluence and Jira. MCP Atlassian provides a secure, standardized bridge, allowing your AI development environments and assistants (e.g., Claude Desktop, Cursor) to seamlessly query, summarize, and interact with your Atlassian knowledge bases and task management systems, enhancing AI's contextual understanding and utility.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface sooperset/mcp-atlassian
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Confluence
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Confluence · recommended 1×
  2. Jira · recommended 1×
  3. Notion · recommended 1×
  4. GitHub · recommended 1×
  5. GitLab · recommended 1×
  • CATEGORY QUERY
    How to provide project documentation and task details to an AI assistant?
    you: not recommended
    AI recommended (in order):
    1. Confluence
    2. Jira
    3. Notion
    4. GitHub
    5. GitLab
    6. Bitbucket
    7. Google Docs
    8. Microsoft Word Online
    9. Coda
    10. Asana
    11. Trello
    12. Monday.com

    AI recommended 12 alternatives but never named sooperset/mcp-atlassian. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a server that can bridge enterprise knowledge bases with AI development environments.
    you: not recommended
    AI recommended (in order):
    1. DataStax Enterprise
    2. Elastic Stack
    3. Elasticsearch
    4. Kibana
    5. Neo4j AuraDB Enterprise
    6. MongoDB Atlas
    7. PostgreSQL
    8. pgvector
    9. Microsoft Azure Data Lake Storage Gen2
    10. AWS S3
    11. Azure Cognitive Search
    12. AWS Kendra

    AI recommended 12 alternatives but never named sooperset/mcp-atlassian. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of sooperset/mcp-atlassian?
    pass
    AI did not name sooperset/mcp-atlassian — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts sooperset/mcp-atlassian in production, what risks or prerequisites should they evaluate first?
    pass
    AI named sooperset/mcp-atlassian explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo sooperset/mcp-atlassian solve, and who is the primary audience?
    pass
    AI named sooperset/mcp-atlassian explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)
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sooperset/mcp-atlassian — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite