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Coding.net MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Coding.net through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 Coding.net, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Coding.net
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* 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 Coding.net MCP Server

Empower your AI agent to orchestrate your entire software development lifecycle with CODING (Coding.net), the premier DevOps platform in China. By connecting CODING to your agent, you transform complex project management, code repository auditing, and issue tracking into a natural conversation. Your agent can instantly list projects, retrieve detailed Git repository metadata, browse active merge requests, and monitor issue progress without you ever needing to navigate the comprehensive CODING web interface. Whether you are conducting a code review or coordinating a cross-functional release, your agent acts as a real-time DevOps assistant, keeping your development data accurate and your team moving.

The Vercel AI SDK gives every Coding.net tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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

  • Project Orchestration — List all DevOps projects and retrieve detailed metadata for each organizational unit.
  • Repository Auditing — Browse Git depots, list branches, and retrieve detailed commit information.
  • Issue Tracking — List and retrieve detailed information about project tasks and bugs to monitor velocity.
  • Collaboration Monitoring — List active merge requests to identify blockers and pending reviews.
  • User Insights — Retrieve profile information for organization members and the authenticated user.

The Coding.net MCP Server exposes 10 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 Coding.net to Vercel AI SDK via MCP

Follow these steps to integrate the Coding.net MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from Coding.net and passes them to the LLM

Why Use Vercel AI SDK with the Coding.net MCP Server

Vercel AI SDK provides unique advantages when paired with Coding.net through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Coding.net integration everywhere

03

Built-in streaming UI primitives let you display Coding.net tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Coding.net + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Coding.net MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Coding.net in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Coding.net tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Coding.net capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Coding.net through natural language queries

Coding.net MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Coding.net to Vercel AI SDK via MCP:

01

get_commit

Get commit details

02

get_issue

Get issue details

03

get_project

Get project details

04

get_repo

Get repository details

05

get_user

Get current user profile

06

list_branches

List repository branches

07

list_issues

List project issues

08

list_mrs

List merge requests

09

list_projects

List DevOps projects

10

list_repos

List project repositories

Example Prompts for Coding.net in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Coding.net immediately.

01

"List all my DevOps projects on CODING."

02

"Show me the latest issues for project 'Alpha'."

03

"Get the branches for repository 'main-api' in project 'Alpha'."

Troubleshooting Coding.net MCP Server with Vercel AI SDK

Common issues when connecting Coding.net to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Coding.net + Vercel AI SDK FAQ

Common questions about integrating Coding.net MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Coding.net to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.