Jira
This Jira MCP server, developed by the Model Context Protocol team, enables AI models to interact with Jira through a standardized interface. Built with TypeScript and leveraging the Jira REST API, it provides tools for managing issues, projects, and sprints. The implementation offers features like connection pooling, comprehensive error handling, and built-in rate limiting to optimize performance and reliability. It's particularly useful for AI assistants or applications needing to automate Jira workflows, enabling tasks like issue tracking, project management, and workload analytics without requiring deep knowledge of the Jira API.
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
- data-analytics
- Source
- PulseMCP
- Repository
- github.com/uddeshya-23/mcp-server-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.