jenkins-mcp-enterprise
Provides tools for managing Jenkins builds, jobs, and logs, including triggering builds (sync/async), inspecting job definitions, searching logs with regex, diagnosing build failures, and optionally performing semantic search on log data.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@jenkins-mcp-enterpriseAnalyze this failed build: https://jenkins.example.com/job/app/42/"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Jenkins MCP Server Enterprise
Jenkins MCP server for multi-instance routing, build diagnostics, and optional vector search.
A Model Context Protocol (MCP) server for Jenkins that provides build management, log inspection, failure diagnostics, and multi-instance configuration. The maintained setup paths in this repository are source install and Docker/Compose.
What It Does
Trigger builds synchronously or asynchronously
Find jobs before triggering or inspecting them
Inspect job definitions and source locations
Retrieve logs and run targeted log-search tools
Discover downstream and sub-build hierarchies
Inspect recent builds or a window around a specific build
Diagnose build failures with configurable recommendations
Route each tool call to the correct Jenkins instance based on
jenkins_urlExpose
semantic_searchonly when vector search is enabledExpose
apply_job_editonly when server-side job editing is enabled
Related MCP server: MCP-Jenkins
Quick Start
Prerequisites
Python 3.10+
Jenkins API access
Jenkins username and API token
Docker and Docker Compose if you want container deployment
Qdrant if you want
semantic_search
Install from Source
git clone https://github.com/Jordan-Jarvis/jenkins-mcp-enterprise
cd jenkins-mcp-enterprise
python3 -m pip install -e .Understand the Two Config Layers
The server uses two configuration layers:
Primary server config:
config/mcp-config.ymlDiagnostic config: loaded from one of:
--diagnostic-config /path/to/file.ymlJENKINS_MCP_DIAGNOSTIC_CONFIG=/path/to/file.ymlconfig/diagnostic-parameters.ymlbundled defaults in
jenkins_mcp_enterprise/diagnostic_config/diagnostic-parameters.yml
You always need the primary server config. You only need a project-local diagnostic config file if you want to override the bundled diagnostic defaults.
Create the Primary Server Config
mkdir -p config
cp config/mcp-config.example.yml config/mcp-config.ymlEdit config/mcp-config.yml with your Jenkins URLs and credentials.
If you want the optional Jenkins-managed job edit workflow for non-SCM-backed jobs, also set:
settings:
enable_job_editing: true
job_edit_workspace_dir: "/tmp/mcp-jenkins/job-definitions"Optional Project-Local Diagnostic Override
Create this only if you want to tune diagnose_build_failure:
cat > config/diagnostic-parameters.yml << 'ENDDIAG'
semantic_search:
min_diagnostic_score: 0.65
max_total_highlights: 4
recommendations:
max_recommendations: 5
ENDDIAGIf you want semantic search, start the local vector stack and set disable_vector_search: false with vector.host: "http://localhost:6333":
./scripts/start_dev_environment.shDocker and Compose
cp config/mcp-config.example.yml config/mcp-config.yml
./start-jenkins_mcp_enterprise.shSee README-Docker.md for the container deployment flow.
Start the Server
jenkins_mcp_enterprise --config config/mcp-config.ymlConnect to Claude Desktop
Add to ~/.claude_desktop_config.json:
{
"mcpServers": {
"jenkins": {
"command": "jenkins_mcp_enterprise",
"args": ["--config", "config/mcp-config.yml"]
}
}
}Usage Notes
Pass full Jenkins build URLs when a tool or prompt relies on
jenkins_url.In multi-Jenkins setups, each tool call resolves exactly one configured instance from
jenkins_url. The server does not fan out across all configured Jenkins instances for a single call.semantic_searchis available only when vector search is enabled.apply_job_editis available only whensettings.enable_job_editing: true.get_job_definitionreturns SCM location details for SCM-backed pipelines. For inline pipelines, it stages a local Groovy file for patch/edit/upload. For other Jenkins-managed jobs, it stagesconfig.xml.diagnose_build_failurealways uses a diagnostic config layer. If you do not provide a project-local override, the bundled defaults are used.The Docker image includes
ripgrep, soripgrep_searchandnavigate_logwork in container deployments.
Common Usage Patterns
Analyze this failed build: https://jenkins.company.com/job/api-service/456/
Find the root cause in this nested pipeline: https://jenkins.company.com/job/monorepo/job/main/789/
Show me the test failure section from this build: https://jenkins.company.com/job/tests/321/
Find similar authentication failures in recent buildsAvailable Tools
Tool | Purpose |
| Start a build and wait for completion |
| Queue a build without waiting for completion |
| Trigger a build and track downstream/sub-build execution |
| Inspect job parameters before triggering builds |
| Search jobs by name, path, or URL on one resolved Jenkins instance |
| List recent builds for a job, or a small window around a target build number |
| Fetch metadata for a specific build or |
| Inspect whether a job is SCM-backed, inline, multibranch, or XML-backed |
| Search logs with regex and context windows |
| Filter logs with common error-oriented patterns |
| Jump to sections or occurrences inside a log |
| Fetch targeted log ranges or chunks |
| AI-assisted failure diagnosis using logs, hierarchy data, and configured recommendations |
| Vector-backed similarity search across log chunks when vector search is enabled |
| Upload a locally edited staged job definition back to Jenkins when job editing is enabled |
Configuration Documentation
Development
# Start local supporting services when vector search is enabled
./scripts/start_dev_environment.sh
# Run tests
python3 -m pytest tests/ -v
# Format code
python3 -m black .License
GPL v3
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