PingCode MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect PingCode through the 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 PingCode, 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 PingCode MCP Server
Empower your AI agent to orchestrate your software development lifecycle with PingCode, the premier agile project management platform for R&D teams. By connecting PingCode to your agent, you transform complex issue tracking, sprint planning, and knowledge management into a natural conversation. Your agent can instantly list your agile projects, create work items, monitor sprint progress, and even retrieve wiki pages without you needing to navigate the complex PingCode dashboard. Whether you are following Scrum or Kanban, your agent acts as a real-time R&D assistant, ensuring your development pipeline is always moving and your documentation is accessible.
The Vercel AI SDK gives every PingCode tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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
- Agile Management — List agile projects and get detailed information about your development workspace.
- Work Item Control — Create and track tasks, stories, and bugs with full support for descriptions and metadata.
- Sprint & Release Tracking — Monitor active sprints and upcoming releases to stay on top of your delivery schedule.
- Knowledge Management — Browse wiki repositories and retrieve page content to access project documentation instantly.
- Team Overview — List organization teams and members to manage collaboration and assignments effectively.
The PingCode 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 PingCode to Vercel AI SDK via MCP
Follow these steps to integrate the PingCode 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 10 tools from PingCode and passes them to the LLM
Why Use Vercel AI SDK with the PingCode MCP Server
Vercel AI SDK provides unique advantages when paired with PingCode 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 PingCode integration everywhere
Built-in streaming UI primitives let you display PingCode 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
PingCode + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the PingCode MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query PingCode in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate PingCode tools and return structured JSON responses to any frontend
Chatbots with tool use: embed PingCode capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with PingCode through natural language queries
PingCode MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect PingCode to Vercel AI SDK via MCP:
create_work_item
Create a work item
get_project
Get project details
get_wiki_page
Get wiki page content
list_members
List organization members
list_projects
List PingCode agile projects
list_releases
List project releases
list_sprints
List project sprints
list_teams
List organization teams
list_wiki_pages
List wiki pages
list_work_items
List work items in a project
Example Prompts for PingCode in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with PingCode immediately.
"List all agile projects in my PingCode organization."
"Create a new bug item in project 'Checkout Flow' titled 'Payment timeout on mobile'."
"Retrieve the content of the wiki page 'System Architecture' from repository 'PROJ-DOCS'."
Troubleshooting PingCode MCP Server with Vercel AI SDK
Common issues when connecting PingCode to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpPingCode + Vercel AI SDK FAQ
Common questions about integrating PingCode 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 PingCode 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 PingCode to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.