Jenkins Integration

Jenkins Data Integration | CI/CD Pipeline Analytics

Connect Jenkins and let AI agents query build success rates, deployment frequency, and pipeline metrics alongside product performance data.

SOC 2 Type II
1,000+ Data Sources
Any Warehouse or BI Tool
A
Improvado Agent
Connected to Jenkins
Show me the last 10 builds for the checkout-service pipeline.
Your checkout-service pipeline had 7 successful builds and 3 failures in the last 24 hours. The latest failure occurred 2 hours ago with error code 137 (out of memory). Average build time is 4m 12s.
Restart the failed build and increase memory allocation to 4GB.
Build #847 restarted with updated memory configuration. Estimated completion in 4 minutes. I'll monitor the logs and alert you if the OOM error recurs.
Trusted by data-driven teams
DockerOMDhimsillyMattelASUSActivision
1,000+
Integrations
200+
Jenkins Fields
99.9%
SLA Uptime
<5 min
Setup
SOC 2
Type II
Improvado Key Takeaways

Connect Jenkins to your analytics stack automatically

Improvado connects to Jenkins through REST API and webhook integrations to extract build data, job configurations, and pipeline metrics. The platform captures build results, duration, test outcomes, and deployment frequencies automatically. Data flows directly to destinations like BigQuery, Snowflake, or Power BI on customizable schedules. Pre-configured connectors handle Jenkins authentication and API versioning across different Jenkins installations.

200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the Jenkins API
15-minute refresh cycles Near real-time sync with 99.9% SLA uptime. No stale dashboards.
Cross-channel normalization Marketing CDM unifies your data with 1,000+ sources into one schema. No manual mapping.
Any warehouse or BI tool Snowflake, BigQuery, Redshift, Databricks, Power BI, Tableau, Looker Studio
AI Agent access via MCP Query, write, and monitor Jenkins through Claude, ChatGPT, Cursor, or any MCP client
Enterprise-grade security SOC 2 Type II, HIPAA, GDPR, CCPA. Raw data never leaves your environment.
OAuth setup in under 5 minutes No API keys, no code, no developer setup. Schema changes handled automatically.
Zero ongoing maintenance Pagination, rate limits, API versioning — all managed. Your team focuses on analysis.
Integration Details

Combine Jenkins data with business and marketing metrics

Improvado's Marketing Common Data Model (MCDM) normalizes Jenkins CI/CD data alongside marketing, sales, and operational metrics from 500+ platforms. This enables analysis of deployment frequency against customer acquisition costs or feature release impact on user engagement. Teams can correlate build success rates with marketing campaign performance and revenue metrics. The unified schema eliminates data silos between development and business intelligence.

Jenkins API · API key · hourly sync · full refresh
Schema Overview

Data objects and fields Improvado extracts from Jenkins

Object Fields
Builds
id number status duration timestamp result url commit_id
Jobs
name url color buildable last_build_number last_success last_failure
Pipelines
id name status stages duration trigger_cause
Test Results
id suite_name test_name status duration error_message
Code Coverage
build_id line_coverage branch_coverage method_coverage class_coverage
How it works

From connection to autonomous action in three steps

1

Connect

Connect Jenkins through API token authentication or username/password credentials. The agent accesses your Jenkins instance via REST API, supporting both cloud-hosted and self-hosted installations with firewall-friendly webhook configuration.

2

Ask

Ask questions like 'Which pipelines failed in the last 6 hours?' or 'What's the average build time for production deployments this month?' The agent interprets natural language queries about build status, performance trends, and failure patterns.

3

Act

The agent triggers builds, restarts failed jobs, updates pipeline parameters, disables unstable pipelines, and modifies build configurations. It executes these actions directly through Jenkins API calls with full audit logging.

Use Cases

What teams ask their AI agent about Jenkins

Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.

See how teams use Improvado →
A
Improvado Agent Analysis

Track deployment frequency impact on user acquisition and conversion rates

Your AI agent analyzes Jenkins data and delivers actionable insights — automatically, in seconds.

5 hrs → 15 min
A
Improvado Agent Cross-channel

Correlate build failure rates with customer support ticket volume and satisfaction

Your AI agent analyzes Jenkins data and delivers actionable insights — automatically, in seconds.

Manual → auto
A
Improvado Agent Reporting

Generate executive reports showing development velocity alongside revenue growth

Your AI agent analyzes Jenkins data and delivers actionable insights — automatically, in seconds.

3 hrs → 12 min
AI Agent Access

Your agent doesn't just read Jenkins — it connects deploys to conversions

Read

The agent reads build histories, job configurations, console logs, test results, artifact metadata, queue status, node health metrics, and plugin versions. It tracks success rates, duration trends, failure patterns, and resource utilization across all pipelines.

Write

The agent triggers new builds with custom parameters, restarts failed jobs, aborts running builds, enables or disables pipelines, updates job configurations, manages build queues, and modifies environment variables for specific runs.

Monitor

The agent monitors build failures, duration anomalies, queue bottlenecks, node availability, disk space warnings, and test result degradation. It watches for repeated failures in specific pipelines and alerts when build times exceed historical baselines.

AI agents query build durations, test pass rates, and deployment frequencies from Jenkins. They correlate release velocity with user acquisition rates and identify which builds impact conversion performance. Agents connect build failures with support ticket spikes and calculate the business impact of pipeline bottlenecks.

Claude ChatGPT Cursor Gemini Any MCP Client
Improvado Agent · Jenkins
You
Show me build performance for our core services this week
A
Pipeline Status
Pipeline Success Rate Avg Duration
payment-processor 94.2% ↓ 18s faster
inventory-sync 88.1% ↑ 2m 4s slower
order-fulfillment 96.7% ↓ 34s faster
customer-api 91.3% ↑ 1m 12s slower
shipping-integration 89.5% ↓ 8s faster
5 pipelines · 847 builds · 92% avg success rate
You
Disable the inventory-sync pipeline until we fix the timeout issue
A
Pipeline Disabled
inventory-sync paused · 0 active builds
Destinations

Send Jenkins data anywhere

Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.

SOC
SOC 2 Type II Audited data management
H
HIPAA Healthcare compliance
EU
GDPR EU data protection
CA
CCPA California privacy
Compare

They extract data. Improvado deploys an agent.

Traditional tools move data from A to B. Improvado gives you an AI agent that reads, acts, and monitors — with Jenkins as one of 1,000+ integrated sources.

Feature Improvado Supermetrics Funnel.io Fivetran
Data fields extracted 200+ ~90 ~120 ~80
Total integrations 1,000+ ~150 ~500 ~300
Cross-channel normalization (CDM) ✓ Built-in ✗ Manual ● Basic mapping ✗ Raw only
AI Agent access (MCP) ✓ Read, Write, Monitor
Data warehouse destinations ✓ 16+ warehouses & BI tools Sheets, Looker, BigQuery BigQuery, Snowflake, Redshift ✓ Broad warehouse support
Refresh frequency Every 15 min Scheduled triggers Daily / 6hr Every 15 min (premium)
SOC 2 Type II & HIPAA ✗ SOC 2 only ✓ SOC 2
Best for Teams that want an AI agent, not a pipeline Small teams, spreadsheets Mid-market, data teams Engineering-led ELT pipelines

Comparison based on publicly available documentation as of April 2026. Feature availability may vary by plan tier.

FAQ

Frequently asked questions

What Jenkins data does Improvado extract?
Improvado extracts build results, job configurations, pipeline stages, test results, deployment metrics, and build artifacts metadata. The platform captures both successful and failed builds with detailed error logs. Historical data and real-time build notifications are supported through API and webhook connections.
How does Improvado connect to Jenkins?
Improvado connects via Jenkins REST API using authentication tokens or username/password credentials. The platform also supports webhook integrations for real-time build notifications. Both Jenkins Cloud and self-hosted instances are supported with secure connection protocols.
Can I track multiple Jenkins servers?
Yes, Improvado supports multiple Jenkins instances including different versions and configurations. Each server requires separate authentication setup but data can be combined in your destination warehouse. The platform handles different Jenkins plugins and custom configurations automatically.
What build metrics can I analyze?
You can analyze build duration, success rates, failure causes, test coverage, deployment frequency, and pipeline stage performance. Improvado also captures queue times, resource usage, and build trends over time. Custom metrics from Jenkins plugins are supported through API extraction.
Does this work with Jenkins plugins?
Improvado extracts data from popular Jenkins plugins including Blue Ocean, Pipeline, and testing frameworks. Plugin-specific metrics are captured through the Jenkins API when available. The platform adapts to different plugin configurations and custom workflows automatically.
How often does Jenkins data sync?
Jenkins data can sync in real-time through webhooks or on scheduled intervals from hourly to daily. Most teams use webhook integration for immediate build notifications combined with daily API syncs for comprehensive metrics. Sync frequency can be adjusted based on build volume and reporting needs.