Jira
A Python MCP server for Jira Cloud API integration built with FastMCP and atlassian-python-api, providing issue management capabilities including CRUD operations, JQL-based searching, workflow transitions, comments, attachments, user management, worklog tracking, and issue linking. Features Docker deployment with HTTP/SSE transport for production use, multi-project support through separate container instances, and automatic accountId detection for Jira Cloud compatibility. The implementation includes 18+ specialized tools covering the complete issue lifecycle from creation to resolution, making it useful for AI-assisted project management, automated issue tracking, team collaboration workflows, and integrating Jira operations directly into development environments like Cursor.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/webboy/mcp-jira
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Jira from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.