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MCP Atlassian Server

Atlassian

79·Strong

Overall Trust Score

Official Atlassian MCP server for Jira and Confluence integration. Enables AI models to interact with project management, issue tracking, and knowledge base operations. Essential for AI-powered project management, documentation, and team collaboration workflows.

project-management
jira
mcp
model-context-protocol
Version: 1.0.0
Last Evaluated: November 9, 2025
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Trust Vector

Performance & Reliability

83
api reliability
88
Methodology
API stability analysis
Evidence
Atlassian Cloud API
Built on Atlassian's reliable REST APIs with 99.9% uptime
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
issue operation success
85
Methodology
Operation success testing
Evidence
Atlassian MCP Server
High success rate for issue and page operations
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
rate limit handling
78
Methodology
Rate limiting behavior testing
Evidence
Atlassian Rate Limits
Respects Atlassian rate limits with retry logic
Date: 2025-11-16
Confidence: mediumLast verified: 2025-11-09
search accuracy
82
Methodology
Search result quality assessment
Evidence
Jira Search API
Powerful JQL-based search with good accuracy
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
error recovery
82
Methodology
Error handling testing
Evidence
Implementation Review
Handles API errors with retry and graceful fallback
Date: 2025-11-16
Confidence: mediumLast verified: 2025-11-09

Security

74
authentication security
82
Methodology
Authentication mechanism review
Evidence
Atlassian Authentication
Uses Atlassian API tokens or OAuth 2.0 for secure authentication
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
token exposure risk
68
Methodology
Token security analysis
Evidence
MCP Security Model
API token stored locally; AI can perform actions within token scope
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
permission scope control
75
Methodology
Permission scope testing
Evidence
Atlassian Permissions
Respects Jira/Confluence permissions but requires careful token scoping
Date: 2025-11-16
Confidence: mediumLast verified: 2025-11-09
data modification risk
70
Methodology
Operation authorization testing
Evidence
Security Analysis
AI can create, modify, and delete issues and pages
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
audit logging
85
Methodology
Audit logging review
Evidence
Atlassian Audit Log
All operations logged in Atlassian audit system
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
cross project access
72
Methodology
Access boundary testing
Evidence
Implementation Review
Can access all projects/spaces within token permissions
Date: 2025-11-16
Confidence: mediumLast verified: 2025-11-09

Privacy & Compliance

71
project data exposure
68
Methodology
Data flow analysis
Evidence
MCP Data Flow
Jira issues and Confluence pages sent to LLM provider for analysis
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
sensitive issue protection
65
Methodology
Privacy controls assessment
Evidence
Security Analysis
No built-in filtering for sensitive issues or confidential pages
Date: 2025-11-16
Confidence: mediumLast verified: 2025-11-09
team member privacy
72
Methodology
User privacy assessment
Evidence
Privacy Analysis
User names, emails, and activity data may be exposed
Date: 2025-11-16
Confidence: mediumLast verified: 2025-11-09
third party data sharing
72
Methodology
Data sharing analysis
Evidence
LLM Provider Policies
Project data shared with LLM provider per their privacy policy
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
attachment handling
75
Methodology
File handling assessment
Evidence
Implementation Review
May access and transmit issue attachments and page attachments
Date: 2025-11-16
Confidence: mediumLast verified: 2025-11-09

Trust & Transparency

85
documentation quality
88
Methodology
Documentation completeness review
Evidence
Atlassian MCP Docs
Comprehensive documentation with Jira and Confluence examples
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
operation visibility
87
Methodology
Logging and traceability assessment
Evidence
Atlassian Audit Log
All operations logged in Atlassian audit trail and MCP logs
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
open source transparency
90
Methodology
Source code review
Evidence
GitHub Repository
Open source implementation from Atlassian
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
api coverage clarity
75
Methodology
API documentation review
Evidence
MCP Server Documentation
Clear documentation of supported Jira and Confluence operations
Date: 2025-11-16
Confidence: mediumLast verified: 2025-11-09

Operational Excellence

82
ease of setup
80
Methodology
Setup complexity assessment
Evidence
Setup Documentation
Requires Atlassian API token and site configuration
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
api performance
80
Methodology
Performance benchmarking
Evidence
Atlassian API Performance
Response times vary (typically 200-800ms); depends on query complexity
Date: 2025-11-16
Confidence: mediumLast verified: 2025-11-09
reliability
85
Methodology
Reliability analysis
Evidence
Atlassian Cloud Status
Depends on Atlassian Cloud uptime (99.9% SLA)
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
feature coverage
82
Methodology
Feature coverage assessment
Evidence
Atlassian MCP Server
Covers Jira issues, JQL search, Confluence pages, and spaces
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
community adoption
78
Methodology
Community activity analysis
Evidence
GitHub Community
Growing adoption among Atlassian users
Date: 2025-11-16
Confidence: mediumLast verified: 2025-11-09

✨ Strengths

  • •Official Atlassian implementation with deep Jira and Confluence expertise
  • •Comprehensive project management and documentation capabilities
  • •Built on reliable Atlassian Cloud APIs with strong SLAs
  • •Full operation auditability through Atlassian audit logs
  • •Open source with Atlassian support
  • •Powerful JQL search for complex issue queries

⚠️ Limitations

  • •Jira issues and Confluence pages exposed to LLM provider
  • •Risk of unintended issue creation or modification
  • •No built-in filtering for sensitive or confidential content
  • •May expose team member names, emails, and activity patterns
  • •Subject to Atlassian API rate limits
  • •Attachments and file content may be transmitted to LLM provider

📊 Metadata

license: MIT
supported platforms:
0: All platforms with Node.js/Python
programming languages:
0: TypeScript
1: Python
mcp version: 1.0
github repo: https://github.com/atlassian/atlassian-mcp-server
api dependency: Jira REST API, Confluence REST API
authentication: Atlassian API Token or OAuth 2.0
first release: 2024-11
maintained by: Atlassian

Use Case Ratings

code generation

78

Useful for issue tracking and documentation generation in development workflows

customer support

90

Excellent for support ticket management and knowledge base access

content creation

85

Great for creating and managing documentation in Confluence

data analysis

82

Good for analyzing project metrics, sprint data, and team performance

research assistant

80

Useful for researching project history and knowledge base content

legal compliance

65

Moderate risk; careful consideration needed for confidential projects

healthcare

60

Risk of exposing patient project data; requires careful access controls

financial analysis

68

Moderate risk for financial project management; requires data controls

education

88

Excellent for managing educational projects and course documentation

creative writing

75

Good for managing writing projects and collaboration in Confluence