Jenkins
This Jenkins MCP server, developed by Kristof Jozsa, provides a bridge to Jenkins CI/CD operations, enabling AI assistants to interact with Jenkins servers. Built with Python, it leverages the python-jenkins library and integrates with the Model Context Protocol. The server offers tools for listing jobs, triggering builds with parameters, and checking build statuses. It focuses on secure credential management through environment variables and supports easy deployment via Docker. This implementation is particularly useful for DevOps automation, allowing AI agents to monitor and control Jenkins pipelines, streamline CI/CD workflows, and integrate Jenkins operations into broader AI-assisted development processes.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · 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/kjozsa/jenkins-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Jenkins 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.