Credly 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 Credly 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 Credly, 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 Credly MCP Server
Integrate Credly, the world's largest digital credential network, directly into your AI workflow. Manage your organization's badge templates, audit issued credentials, and track member skills using natural language.
The Vercel AI SDK gives every Credly 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
- Badge Management — List all issued badges and explore your organization's badge templates.
- Issuance Auditing — Monitor which recipients have received badges and track authorized issuers.
- Skill Tracking — Explore the full inventory of skills mapped to your digital credentials.
- Organization Insights — Retrieve metadata and member lists for your connected organizations.
The Credly 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 Credly to Vercel AI SDK via MCP
Follow these steps to integrate the Credly 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 Credly and passes them to the LLM
Why Use Vercel AI SDK with the Credly MCP Server
Vercel AI SDK provides unique advantages when paired with Credly 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 Credly integration everywhere
Built-in streaming UI primitives let you display Credly 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
Credly + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Credly MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Credly in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Credly tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Credly capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Credly through natural language queries
Credly MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Credly to Vercel AI SDK via MCP:
get_badge_details
Get detailed information for a specific issued badge
get_organization_info
Get metadata for a specific organization
get_template_details
Get full design and criteria for a badge template
list_authorized_issuers
List people authorized to issue badges
list_badge_recipients
List people who have received badges
list_badge_skills
List all skills mapped to badges in the system
list_badge_templates
List all badge templates available for issuance
list_connected_organizations
List organizations connected to your account
list_issued_badges
List all badges issued by your organization
list_org_members
List all members of your organization on Credly
Example Prompts for Credly in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Credly immediately.
"List all badges issued by my organization in the last month."
"Show me the details for badge ID 'b8s9df7'."
"What skills are associated with the 'Senior DevOps Engineer' badge template?"
Troubleshooting Credly MCP Server with Vercel AI SDK
Common issues when connecting Credly to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCredly + Vercel AI SDK FAQ
Common questions about integrating Credly 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 Credly 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 Credly to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.