Harness MCP. Manage deployments and audit secrets via chat.
Harness connects your CI/CD and DevOps workflows directly to your AI agent. It lets you manage software delivery pipelines, monitor deployments in real time, and audit platform secrets without opening a complex dashboard.
Give Claude and any AI agent real-world access
List, view details for, and trigger runs of software delivery pipelines.
Check the live status and step-by-step progress of any running deployment execution.
View project details, list connected environments, or check available secrets for configuration accuracy.
Retrieve historical logs to track who changed what and when within the entire system.
Ask an AI about this
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What AI agents can do with Harness MCP - 11 Tools for DevOps Automation
These tools give you granular control over every part of your CI/CD pipeline, letting your agent manage everything from project listing to running live deployments.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Harness MCPExecute Pipeline
Starts the process for a specified software pipeline run.
Get Audit Logs
Pulls historical records of all changes made to the platform.
Get Execution Status
Retrieves current status and step details for a specific pipeline run.
Get Pipeline
Gets detailed information, including the YAML definition, for one specific pipeline.
List Connectors
Displays available infrastructure connections like Git or Kubernetes.
List Environments
Shows all defined deployment environments within a project, such as staging or production.
List Executions
Lists multiple completed and active runs for a single pipeline.
List Pipelines
Retrieves all defined pipelines within a specific project scope.
List Projects
Lists every organizational project configured in your Harness account.
List Secrets
Displays the names and types of secrets stored for a given project.
List Services
Lists all microservices defined within your current DevOps ecosystem.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on each call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Harness, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,200+ others, all in one place
- Add new capabilities to your AI anytime you want
- Connections are secured and governed automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog weekly
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Harness. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS CLOUD
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on each call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
The Pain of Dashboard Overload
Today, checking a single deployment status requires opening Harness, navigating to the correct project, finding the pipeline list, clicking on an execution run, and then looking for the specific step details. This cycle repeats every time you need confirmation.
With this MCP, your AI agent handles all those clicks behind the scenes. You simply ask: 'What's the status of Production Deploy?' And boom—you get the live step-by-step answer immediately. It just works.
Harness for Pipeline and Execution Management
Manual steps like listing all projects, finding a specific secret key, or determining which environments are available used to require multiple distinct API calls and manual cross-referencing. You'd spend half your day just gathering data.
Now, you tell the agent: 'List all projects and their secrets.' It consolidates that information for you instantly. The process is shorter, smarter, and requires zero context switching.
What Harness MCP does for your AI
Your agent gives you full control over your entire software development lifecycle. Instead of navigating multiple dashboards just to check if the latest build passed or to trigger a release, you talk to your AI client. This MCP lets you list all projects across your organization and inspect their pipelines in natural conversation.
You can ask for real-time deployment status using get_execution_status or even retrieve platform audit logs via get_audit_logs to check compliance. It's like having a dedicated DevOps Coordinator available 24/7 right inside your IDE, making it simple to manage everything from infrastructure connectors to secrets.
When you connect this through Vinkius, you get access to all these controls—from listing microservices via list_services to triggering an entire release with execute_pipeline. It’s about getting the results instantly without ever leaving your coding environment.
019d75ae-615f-715e-a828-fc152b3d63c5 How to set up Harness MCP
The bottom line is you manage complex DevOps tasks by talking to a single chat interface, letting your AI client do the heavy lifting across multiple systems.
First, subscribe to this MCP in Vinkius and provide your Harness API Key, Account ID, and Organization ID.
Next, instruct your AI client to perform a specific action, like listing all available projects or checking the status of an active pipeline run.
Finally, your agent uses the provided credentials to talk directly to Harness, returning structured data about the requested pipelines, secrets, or executions.
Who uses Harness MCP
DevOps Engineers and SREs who are tired of jumping between five different web dashboards just to confirm a deployment status. This MCP gives you full control over the software delivery lifecycle right from your IDE.
They use this to trigger test deployments and check pipeline statuses without leaving their terminal or code editor.
They monitor execution failures and audit logs immediately, maintaining platform stability during high-stress rollouts.
They oversee multiple projects, list different environments, and ensure all delivery pipelines are configured correctly before a major release.
Benefits of connecting Harness MCP
Real-time visibility: Instead of checking a dashboard, you ask your agent for the status of an execution using get_execution_status. You know exactly where the deployment is stuck.
Full project oversight: List all organizational projects with list_projects and then dive deep into any single pipeline by calling get_pipeline. Everything stays in one conversation.
Security compliance checks: Need to prove who changed a secret? Use get_audit_logs to pull comprehensive change history instantly, simplifying audits.
Controlled deployments: When you’re ready for production, use execute_pipeline to trigger the full run with a simple command. No manual clicks required.
Infrastructure mapping: Quickly list all connected environments (list_environments) and services (list_services), ensuring your next deployment targets the right place.
Harness MCP use cases
The build failed, but I don't know why.
A developer asks their agent to check the status of the latest run. The agent uses get_execution_status and reports that the 'Artifact Push' step is running slowly, pinpointing the exact stage causing the delay.
I need to prove we followed policy on this change.
An auditor asks for a record of who accessed the database credentials last week. The agent executes get_audit_logs, providing a clean, chronological list of all access attempts.
I need to roll out a hotfix immediately.
The Release Manager asks their agent to execute the 'Hotfix' pipeline using execute_pipeline. The agent confirms the trigger and provides an initial execution ID for tracking.
What services are connected to this project?
A new engineer needs to understand the scope of a microservice. They ask their agent, which uses list_services to provide a full inventory of all running components in that project.
Harness MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Copy-pasting IDs and endpoints
A user manually copies the pipeline ID from one dashboard, pastes it into another tool's URL bar, and then has to find the correct execution status page.
Just ask your agent directly. Tell it: 'Check the status of the deployment for the E-commerce app.' The agent handles all the ID retrieval using tools like list_pipelines and get_execution_status automatically.
Forgetting required credentials
The user gets an error message saying 'Access Denied' because they didn't enter the correct API Key or Organization ID.
Remember to subscribe first and provide your Harness API Key, Account ID, and Org ID in Vinkius. This MCP handles authentication for you so you don't have to worry about passing raw credentials.
Treating it like a search engine
The user types: 'Show me build status, secrets list, and project name'. The agent gets confused because the requests are unrelated.
Keep your questions focused. Ask for one thing at a time, like: 'List all projects' (list_projects), or 'What is the status of pipeline X?' (get_execution_status). Clarity works best.
When to use Harness MCP
Use this MCP if your current process requires coordinating information across multiple distinct systems—specifically, needing to check deployment status, view logs, and manage secrets all from one place. If you only need basic code linting or simple file manipulation, a general coding agent is fine. However, if the task involves anything related to 'who changed what,' 'what's deployed right now,' or 'triggering an entire release cycle,' this MCP is essential. Don't use it if you just want to read documentation; for that, a search tool works better. But if you need to actually act on the platform—like triggering execute_pipeline or fetching audit logs—this is your go-to resource.
Frequently asked questions about Harness MCP
How do I find my Harness API Key? +
Log in to Harness, go to My Profile (bottom left), and select API Keys. You can generate either a Personal API Key or use a Service Account Token from there.
Where can I find my Account ID and Org ID? +
The Account ID is visible in your browser's URL when logged in (e.g., account/XYZ123). The Organization ID is typically found in the project settings or sidebar (default is often 'default').
Can I trigger a pipeline execution via this integration? +
Yes! Use the execute_pipeline tool by providing the project ID and pipeline ID. Harness will initiate the workflow immediately.
Is the integration secure for managing secrets? +
Absolutely. The integration only lists the metadata of your secrets (like names and identifiers) through your API key. Your credentials are encrypted and stored securely in the Vinkius Cloud.