Jira Cloud
This Jira MCP server, developed by Sebastian Espinosa, provides AI assistants with secure access to Jira Cloud instances through a comprehensive set of tools for issue management, project operations, sprint handling, board configuration, user management, and file attachments. Built with TypeScript using the jira.js client library, it emphasizes enterprise-grade security with features like rate limiting, audit logging, field validation, permission checking, destructive operation confirmations, and configurable security policies to prevent unauthorized access and dangerous operations. The implementation supports both basic authentication and OAuth2, includes specialized tools for Agile workflows like sprint creation and board management, and offers extensive customization through environment variables for security settings, making it valuable for automated project management, issue tracking workflows, and building AI assistants that need safe, auditable access to Jira without compromising organizational security.
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
- monitoring
- Source
- PulseMCP
- Repository
- github.com/sespinosa/jira-mcp-server
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Jira Cloud 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.