Harness MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Harness through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Harness, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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.
The Vercel AI SDK gives every Harness tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the Harness MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 11 tools from Harness and passes them to the LLM
Why Use Vercel AI SDK with the Harness MCP Server
Vercel AI SDK provides unique advantages when paired with Harness through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Harness integration everywhere
Built-in streaming UI primitives let you display Harness tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Harness + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Harness MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Harness in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Harness tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Harness capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Harness through natural language queries
Harness MCP Tools for Vercel AI SDK (11)
These 11 tools become available when you connect Harness to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Harness to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpHarness + Vercel AI SDK FAQ
Common questions about integrating Harness MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Harness with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 Vercel AI SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.