Jenkins
This Jenkins MCP server, developed by Hekmon, provides AI assistants with a standardized interface to interact with Jenkins CI/CD pipelines. Built using TypeScript and leveraging the Model Context Protocol SDK, it offers capabilities for managing and querying Jenkins jobs, builds, and artifacts. The server implements a simple notes system to demonstrate core MCP concepts, including resource management, tool execution, and prompt generation. It's designed for flexibility, supporting various Jenkins configurations through JSON-based settings. This implementation is particularly valuable for DevOps teams and AI researchers working on automated software delivery, enabling use cases such as intelligent build monitoring, test result analysis, and deployment orchestration within Jenkins environments.
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 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/hekmon8/jenkins-server-mcp
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
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.