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Jenkins MCP Server
for AI Agents

Connect your AI agent to StackOne's Jenkins MCP server and give it ready-to-use MCP tools out of the box. Auth, tool execution, and security all managed.

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Jenkins MCP Server
Built by StackOne StackOne
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6 Agent Actions

Create, read, update, and delete across Jenkins — and extend your agent's capabilities with custom actions.

Authentication

Agent Tool Authentication

Per-user OAuth in one call. Your Jenkins MCP server gets session-scoped tokens with zero credentials stored on your infra.

Agent Auth →

Security

Agent Protection

Every Jenkins tool response scanned for prompt injection in milliseconds — 88.7% accuracy, all running on CPU.

Prompt Injection Defense →

Performance

Max Agent Context. Min Cost.

Free up to 96% of your agent's context window to enhance reasoning and reduce cost, on every Jenkins call.

Tools Discovery →

What is the Jenkins MCP Server?

A Jenkins MCP server lets AI agents read and write Jenkins data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's Jenkins MCP server ships with pre-built actions, fully extensible via the Connector Builder — plus managed authentication, prompt injection defense, observability, and agent execution runtime. Connect it from MCP clients like Claude Desktop, Claude Code, Cursor, Goose, and VS Code, or from agent frameworks like OpenAI Agents SDK, LangChain, and Vercel AI SDK.

All Jenkins MCP Tools

Every action from Jenkins's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.

Unified Credentials

  • Get Unified Credentials

    Get the current Jenkins connection's unified credentials and identity.

Current Users

  • Get Current User

    Get the raw identity of the connected Jenkins account.

Unified Roles

  • List Unified Roles

    List unified roles in Jenkins.

  • Get Unified Role

    Get a unified Jenkins role by ID.

Unified Users

  • List Unified Users

    List unified users in Jenkins.

  • Get Unified User

    Get a unified Jenkins user by ID.

Set Up Your Jenkins MCP Server in Minutes

One endpoint. Any framework. Your agent is talking to Jenkins in under 10 lines of code.

Agent Frameworks

Claude Desktop
{
  "mcpServers": {
    "stackone": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://api.stackone.com/mcp?x-account-id=<account_id>",
        "--header",
        "Authorization: Basic <YOUR_BASE64_TOKEN>"
      ]
    }
  }
}

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Jenkins MCP Server FAQ

Does StackOne have a Jenkins MCP server?
Yes. StackOne offers a hosted Jenkins MCP server, and every action is tested and QA'd by StackOne. Connect it to Claude, Cursor, and any other MCP client, or to any agent framework through the AI Action SDK. It ships with managed agent authentication, prompt injection defense, and tool discovery with server-side execution that preserve your agent's context window and keep reasoning performance.
Jenkins MCP server vs direct API integration — what's the difference?
A Jenkins MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling Jenkins. A Jenkins MCP server is for AI agents — MCP clients like Claude and Cursor, plus framework agents built with OpenAI, LangChain, or Vercel AI — discovering and calling Jenkins at runtime. StackOne provides both.
How does Jenkins authentication work for AI agents?
Jenkins authentication for AI agents works through a StackOne Connect Session. Create one via the dashboard or the SDK — you get an auth link and ready-to-paste config for Claude Desktop, Cursor, and other MCP clients. Your user authenticates their own Jenkins account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via origin_owner_id.
Are Jenkins MCP tools vulnerable to prompt injection?
Yes — Jenkins MCP tools can be vulnerable to indirect prompt injection. Any tool that reads user-written content — documents, messages, tickets, records, or free-text fields — is a potential vector. StackOne Defender scans every tool response before it enters the agent's context — regex patterns in ~1ms, then a MiniLM classifier in ~4ms. 88.7% accuracy, CPU-only.
What is the context bloat of a Jenkins agent and how do I avoid it?
Context bloat happens when Jenkins tool schemas and API responses eat your Jenkins agent's memory, preventing it from reasoning effectively. A single Jenkins query can return a massive JSON response, and connecting multiple tools compounds the problem. Tools Discovery and Code Mode reduce context bloat — loading only relevant tools per query and keeping raw responses out of the agent's context.
Can I limit which actions my Jenkins agent can access?
Yes — you can limit which actions your Jenkins agent can access directly from the StackOne dashboard. Toggle actions on or off, or restrict them to specific accounts, with no code changes to your agent. Session tokens can be scoped to exact actions so if one leaks, exposure stays contained.
Can I create custom agent actions for my Jenkins MCP server?
Yes — you can create custom agent actions for your Jenkins MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research Jenkins's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a Jenkins MCP server?
Skip a Jenkins MCP server if your integration is purely software-to-software — direct Jenkins API integration is simpler when no AI agent is involved. For deterministic, compliance-critical operations (financial transactions, regulatory reporting), direct API gives you predictable behavior without agent-driven decision-making. MCP shines when AI agents need to dynamically discover and call Jenkins actions at runtime.
What AI frameworks and AI clients does the StackOne Jenkins MCP server support?
The StackOne Jenkins MCP server supports both. MCP clients (paste-and-go apps): Claude Desktop, Claude Code, Cursor, VS Code, Goose. Agent frameworks (code SDKs you build with): OpenAI Agents SDK, Anthropic, Vercel AI, Google ADK, CrewAI, Pydantic AI, LangChain, LangGraph, Azure AI Foundry.

Put your AI agents to work

All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.