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Compatibility

MCP Atlassian works with any MCP-compatible client. This page documents platform-specific notes and known issues.

Compatibility Matrix

Platform Status Transport Notes
Claude Desktop Fully supported stdio Primary development target
Cursor Fully supported stdio
Windsurf Fully supported stdio
VS Code (Copilot) Supported stdio See Copilot setup
Vertex AI / Google ADK Supported stdio / HTTP Schema sanitization applied automatically
Amazon Bedrock Compatible stdio / HTTP Not explicitly tested
LiteLLM Compatible stdio / HTTP Passes schemas to underlying provider
OpenAI Gateway Compatible stdio / HTTP
ChatGPT Not tested HTTP See ChatGPT notes

Schema Compatibility

MCP Atlassian includes automatic schema sanitization to ensure compatibility with strict AI platforms:

  • anyOf flattening: Pydantic v2 generates anyOf patterns for optional parameters (T | None). These are automatically collapsed to simple {"type": T} before schemas are sent to clients, since Vertex AI and Google ADK reject anyOf alongside default or description fields.
  • No zero-argument tools: All tools have at least one parameter, which is required by some OpenAI-compatible gateways.
  • All properties have explicit type: Required by Vertex AI.
  • No $defs / $ref: All schemas are fully inlined.

These constraints are enforced by CI tests across all tools.

Platform-Specific Notes

GitHub Copilot

GitHub Copilot's coding agent supports MCP servers via stdio transport. Key configuration notes:

Copilot's agent mode uses stdio, not HTTP. Configure as a standard MCP server:

```json
{
  "mcpServers": {
    "mcp-atlassian": {
      "command": "uvx",
      "args": ["mcp-atlassian"],
      "env": {
        "JIRA_URL": "https://your-instance.atlassian.net",
        "JIRA_USERNAME": "your-email@example.com",
        "JIRA_API_TOKEN": "your-api-token"
      }
    }
  }
}
```

If Copilot reports "Retrieved 0 tools", ensure you are using mcp-atlassian >= 0.16.0 (which includes FastMCP updates for better protocol compliance).

When using Docker, expose via stdio (not HTTP):

```json
{
  "mcpServers": {
    "mcp-atlassian": {
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "-e", "JIRA_URL=https://your-instance.atlassian.net",
        "-e", "JIRA_USERNAME=your-email@example.com",
        "-e", "JIRA_API_TOKEN=your-api-token",
        "ghcr.io/sooperset/mcp-atlassian:latest"
      ]
    }
  }
}
```

Vertex AI / Google ADK

Vertex AI enforces strict JSON Schema validation. The automatic anyOf flattening resolves the INVALID_ARGUMENT errors previously reported with Google ADK.

If you encounter schema errors, ensure you are running the latest version:

uvx mcp-atlassian@latest

ChatGPT

ChatGPT's MCP integration has reported vague "violates guidelines" errors. This may be related to schema validation but no specific diagnostics are available. If you encounter this, please open an issue with the exact error message.

HTTP Transport

For platforms that require HTTP transport (e.g., remote deployments, gateways), see the HTTP Transport guide.

Cloud vs Server/Data Center

MCP Atlassian supports both Atlassian Cloud and Server/Data Center deployments, but some features differ between platforms.

Authentication Methods

Method Cloud Server/DC
API Token (username + token) Yes Yes (username + password)
Personal Access Token (PAT) No Yes
OAuth 2.0 Yes (3LO) Yes (Application Links)
BYOT (Bring Your Own Token) Yes Yes

Tool Availability

Tool Cloud Server/DC Notes
jira_batch_get_changelogs Yes No Cloud-only changelog API
jira_get_issue_proforma_forms Yes No Cloud-only (requires cloud_id for Forms API)
jira_get_service_desk_queues Yes Yes Requires Jira Service Management
confluence_get_page_views Yes No Cloud-only analytics API
confluence_search_user Yes (CQL) Yes (group member fallback) Server/DC uses group member API; specify group_name

Content Format Differences

Feature Cloud Server/DC
Issue descriptions ADF (Atlassian Document Format) Wiki markup
Confluence pages Storage format (XHTML) Storage format (XHTML)
Markdown input Auto-converted to ADF Auto-converted to wiki markup
Rich text rendering ADF JSON Wiki markup

Tip

MCP Atlassian handles format conversion automatically — you always write in Markdown regardless of platform. The tools convert to the appropriate format (ADF for Cloud, wiki markup for Server/DC).

API Differences

Aspect Cloud Server/DC
Base URL *.atlassian.net Custom domain
API version REST API v2 + v3 REST API v2
User identifiers accountId username or userKey
Rate limiting Enforced (~100 req/min) Instance-dependent
Webhooks Cloud-managed Self-managed

Warning

When switching between Cloud and Server/DC, custom field IDs will be different. Use jira_search_fields to discover the correct field IDs for your instance.