Harness MCP Server for Windsurf 11 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Harness through the Vinkius and Cascade will auto-discover every tool — ask questions, generate code, and act on live data without leaving your editor.
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Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Harness and 2,500+ MCP Servers from a single visual interface.




{
"mcpServers": {
"harness": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Harness MCP Server
Connect your Harness.io platform to any AI agent and take full control of your software delivery and CI/CD pipelines through natural conversation.
Windsurf's Cascade agent chains multiple Harness tool calls autonomously — query data, analyze results, and generate code in a single agentic session. Paste the Vinkius Edge URL, reload, and all 11 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Pipeline Management — List, inspect, and trigger pipeline executions across your projects.
- Execution Monitoring — Get real-time status updates and step details for active deployments.
- Project Oversight — Browse your organizational structure and list projects within specific organizations.
- Secrets & Infrastructure — Access lists of secrets, connectors, and environments to ensure your infrastructure is correctly configured.
- Audit & Compliance — Retrieve platform audit logs to monitor changes and ensure security standards.
- Service Insights — List microservices and environments defined in your DevOps ecosystem.
The Harness MCP Server exposes 11 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Harness to Windsurf via MCP
Follow these steps to integrate the Harness MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Harness
Open Cascade and ask: "Using Harness, help me..." — 11 tools available
Why Use Windsurf with the Harness MCP Server
Windsurf provides unique advantages when paired with Harness through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows — Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 11 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Harness + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Harness MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Harness and generate models, types, or handlers based on real API responses
Live debugging: query Harness tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Harness and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Harness data with Cascade's code generation to scaffold entire features in minutes
Harness MCP Tools for Windsurf (11)
These 11 tools become available when you connect Harness to Windsurf via MCP:
execute_pipeline
Trigger the execution of a pipeline
get_audit_logs
Retrieve platform audit logs
get_execution_status
Get status and step details for a specific pipeline execution
get_pipeline
Get details and YAML for a specific pipeline
list_connectors
List infrastructure connectors (Git, Docker, K8s, etc.)
list_environments
List environments defined in a project
list_executions
List executions for a specific pipeline
list_pipelines
List pipelines within a specific project
list_projects
List all projects in the configured Harness organization
list_secrets
List secrets configured in a project
list_services
List services (microservices) defined in a project
Example Prompts for Harness in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Harness immediately.
"List all pipelines in project 'E-commerce App'."
"Execute the 'Production Deploy' pipeline for project ID app_502."
"Show the status of the latest execution for pipeline deploy_v1."
Troubleshooting Harness MCP Server with Windsurf
Common issues when connecting Harness to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Harness + Windsurf FAQ
Common questions about integrating Harness MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Harness with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Harness to Windsurf
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
