30 docs tagged with "harness-ai"

Generate dashboards and widgets from natural language descriptions using Harness AI.

Use Harness AI to generate pull request summaries, analyze code changes, and facilitate code review in Harness Code Repository.

Connect Harness to the Claude apps with the Anthropic Harness Connector so Claude can read and act on your pipelines, deployments, services, and costs using OAuth.

How the Harness MCP Server confirms write operations through MCP elicitation, how risk-based auto-approve works, and which safeguards the server enforces.

Learn about the AppSec SCS Chatbot

Add the Harness MCP Server to Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Gemini CLI, and Amazon Q Developer CLI using a Harness API key.

Harness AI brings intelligence to every stage of your software delivery lifecycle through three integrated capabilities.

Full configuration reference for the Harness MCP Server, including identity, reliability, access control, logging, semantic search, and toolset filtering.

Use these example prompts to create pipelines, services, environments, connectors, and other Harness resources with Harness AI.

Harness Agents Reference

Install the Harness AI plugin for Cursor to manage pipelines, debug deployments, and interact with Harness using natural language directly from your IDE.

Create pipelines, manage resources, and troubleshoot with AI through natural language conversations in the Harness UI.

Harness AI Support Agent provides instant answers to product and documentation questions.

Leverage Gemini CLI with Harness AI MCP Server to unleash your developer workflows.

Connect MCP-compatible clients to the Harness-managed MCP endpoint using OAuth through Harness ID, with no API key in your client configuration.

Give AI agents full access to the Harness platform through 11 consolidated tools and 139 resource types using the Model Context Protocol (MCP).

Install the Harness VS Code Extension to monitor pipelines, view logs, manage approvals, and use AI-assisted debugging directly in Visual Studio Code.

Learn how the Harness Knowledge Graph models software delivery resources as connected entities, enabling contextual queries and AI-assisted analysis.

Select and configure the right model connector for your Harness AI Worker Agents.

Learn about how AI improves your experience on the Harness platform.

The 27 pre-built Harness MCP Server prompt templates for DevOps, FinOps, DevSecOps, and Harness Code workflows.

Learn about the Release Agent capabilities in Harness FME.

All 139 Harness MCP Server resource types organized by toolset, with the CRUD operations and execute actions each one supports.

Run the Harness MCP Server with Docker, Kubernetes, or an MCP gateway, and serve multiple users over HTTP transport.

The 11 MCP tools exposed by the Harness MCP Server, with request examples, the pipeline run workflow, and MCP resource URIs.

Resolve common Harness MCP Server errors and debug tool calls interactively with MCP Inspector.

Add Worker Agent steps to Harness pipelines, reference agent outputs, and gate deployments based on agent decisions.

Configure Worker Agent instructions, MCP connectors, inputs, environment variables, triggers, and notifications.

Explore Worker Agent examples including PR review, IaC plan safety, spec-driven development, and implementation agents.

Create and configure AI-powered Worker Agents that run inside Harness pipelines to automate code review, incident response, data synthesis, and other intelligent workflows.