GitLab & Jira
MCP server implementation by hainan.zhao that provides AI assistants with integrated access to both GitLab and Jira APIs through a unified interface, supporting comprehensive project management workflows including merge request reviews, pipeline management, issue tracking, and ticket operations. The implementation features GitLab tools for MR details with diff parsing, comment management, project/branch/issue operations, CI/CD pipeline control, and user management, alongside Jira tools for ticket CRUD operations, JQL searching with intelligent fuzzy matching, custom field updates, and project management. Built with TypeScript using official GitLab REST API and Jira.js SDK, it includes a unified search tool that replaces multiple individual search functions with smart fuzzy matching for priorities, statuses, and assignees, making it valuable for development teams managing code reviews, sprint planning, and cross-platform project coordination between GitLab repositories and Jira workflows.
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
- version-control
- Source
- PulseMCP
- Repository
- github.com/hainanzhao/mcp-gitlab-jira
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve GitLab & 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.