# How to integrate Accredible certificates MCP with Vercel AI SDK v6

```json
{
  "title": "How to integrate Accredible certificates MCP with Vercel AI SDK v6",
  "toolkit": "Accredible certificates",
  "toolkit_slug": "accredible_certificates",
  "framework": "Vercel AI SDK",
  "framework_slug": "ai-sdk",
  "url": "https://composio.dev/toolkits/accredible_certificates/framework/ai-sdk",
  "markdown_url": "https://composio.dev/toolkits/accredible_certificates/framework/ai-sdk.md",
  "updated_at": "2026-05-06T07:59:08.032Z"
}
```

## Introduction

This guide walks you through connecting Accredible certificates to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Accredible certificates agent that can bulk create certificates for this course, download pdfs for recent issued credentials, list all available certificate templates through natural language commands.
This guide will help you understand how to give your Vercel AI SDK agent real control over a Accredible certificates account through Composio's Accredible certificates MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Accredible certificates with

- [OpenAI Agents SDK](https://composio.dev/toolkits/accredible_certificates/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/accredible_certificates/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/accredible_certificates/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/accredible_certificates/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/accredible_certificates/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/accredible_certificates/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/accredible_certificates/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/accredible_certificates/framework/cli)
- [Google ADK](https://composio.dev/toolkits/accredible_certificates/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/accredible_certificates/framework/langchain)
- [Mastra AI](https://composio.dev/toolkits/accredible_certificates/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/accredible_certificates/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/accredible_certificates/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- How to set up and configure a Vercel AI SDK agent with Accredible certificates integration
- Using Composio's Tool Router to dynamically load and access Accredible certificates tools
- Creating an MCP client connection using HTTP transport
- Building an interactive CLI chat interface with conversation history management
- Handling tool calls and results within the Vercel AI SDK framework

## What is Vercel AI SDK?

The Vercel AI SDK is a TypeScript library for building AI-powered applications. It provides tools for creating agents that can use external services and maintain conversation state.
Key features include:
- streamText: Core function for streaming responses with real-time tool support
- MCP Client: Built-in support for Model Context Protocol via @ai-sdk/mcp
- Step Counting: Control multi-step tool execution with stopWhen: stepCountIs()
- OpenAI Provider: Native integration with OpenAI models

## What is the Accredible certificates MCP server, and what's possible with it?

The Accredible certificates MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Accredible certificates account. It provides structured and secure access to your digital credentials platform, so your agent can perform actions like issuing certificates, managing groups, generating PDFs, and organizing templates on your behalf.
- Bulk credential creation and issuance: Let your agent create and issue batches of digital certificates or badges to multiple recipients in one go.
- Automated group and collection management: Effortlessly create, clone, or delete groups and collections to organize recipients and credentials based on your programs or courses.
- Credential evidence and reference handling: Add or remove evidence items or references to credentials, supporting richer documentation and verification for each certificate.
- PDF certificate generation and export: Quickly generate and download PDF copies of credentials, individually or in bulk, for easy offline distribution or archiving.
- Template listing and selection: Retrieve and browse all available certificate templates, so your agent can help you pick or preview designs for new credentials.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `ACCREDIBLE_CERTIFICATES_BULK_CREATE_CREDENTIALS_V2` | Bulk Create Credentials (V2) | Tool to bulk create credentials. use when batching up to 30 credentials in one call; supports multi-status (207) responses. |
| `ACCREDIBLE_CERTIFICATES_CLONE_GROUP` | Clone Group | Tool to clone an existing group. use after confirming the source group exists and you need a copy with optional overrides. |
| `ACCREDIBLE_CERTIFICATES_CREATE_COLLECTION` | Create Collection | Tool to create a new collection. use when you need a curated set of groups. |
| `ACCREDIBLE_CERTIFICATES_CREATE_EVIDENCE_ITEM` | Create Evidence Item | Tool to create a new evidence item for a credential. use after confirming credential id. |
| `ACCREDIBLE_CERTIFICATES_CREATE_GROUP` | Create Group | Tool to create a new group. use after gathering all group details. |
| `ACCREDIBLE_CERTIFICATES_DELETE_CREDENTIAL` | Delete Credential | Tool to delete a credential. use after confirming you want to permanently remove an existing credential. executes delete on /credentials/{credential id} endpoint and returns status code. |
| `ACCREDIBLE_CERTIFICATES_DELETE_GROUP` | Delete Group | Tool to delete a group. use after confirming no credentials remain and when you need to permanently remove the group. |
| `ACCREDIBLE_CERTIFICATES_DELETE_REFERENCE` | Delete Reference | Tool to delete a specific reference by id. use after confirming both credential id and reference id. example: "delete reference 1234 from credential 'abc123'." |
| `ACCREDIBLE_CERTIFICATES_GENERATE_PD_FS_FOR_CREDENTIALS` | Generate PDFs for Credentials | Tool to generate pdfs for multiple credentials. use when you need to batch-download a zip archive of certificate pdfs for a list of published credential ids. example: "generate pdfs for credentials [10000005, 10272642]". |
| `ACCREDIBLE_CERTIFICATES_LIST_TEMPLATES` | List Templates | Tool to retrieve a list of all templates. use after authentication to fetch paginated certificate templates. |
| `ACCREDIBLE_CERTIFICATES_SEARCH_COLLECTIONS` | Search Collections | Tool to search for collections. use when you need to filter collections by ids, name, or public flag and paginate through results. e.g., "search for public collections named 'abc' on page 2." |
| `ACCREDIBLE_CERTIFICATES_UPDATE_GROUP` | Update Group | Tool to update an existing group. use when you need to modify group details after fetching its current data. |
| `ACCREDIBLE_CERTIFICATES_UPDATE_REFERENCE` | Update Reference | Tool to update a reference by id. use when you need to modify a reference's details for a credential. use after retrieving the reference id to change comments or relationship. |
| `ACCREDIBLE_CERTIFICATES_VIEW_ALL_SKILL_CATEGORIES` | View All Skill Categories | Tool to retrieve all skill categories. use when you need to list all available skill categories (e.g., to link them to groups). |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Accredible certificates MCP server is an implementation of the Model Context Protocol that connects your AI agent to Accredible certificates. It provides structured and secure access so your agent can perform Accredible certificates operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

Before you begin, make sure you have:
- Node.js and npm installed
- A Composio account with API key
- An OpenAI API key

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider.
- Keep the API key safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install required dependencies

First, install the necessary packages for your project.
What you're installing:
- @ai-sdk/openai: Vercel AI SDK's OpenAI provider
- @ai-sdk/mcp: MCP client for Vercel AI SDK
- @composio/core: Composio SDK for tool integration
- ai: Core Vercel AI SDK
- dotenv: Environment variable management
```bash
npm install @ai-sdk/openai @ai-sdk/mcp @composio/core ai dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's needed:
- OPENAI_API_KEY: Your OpenAI API key for GPT model access
- COMPOSIO_API_KEY: Your Composio API key for tool access
- COMPOSIO_USER_ID: A unique identifier for the user session
```bash
OPENAI_API_KEY=your_openai_api_key_here
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
```

### 4. Import required modules and validate environment

What's happening:
- We're importing all necessary libraries including Vercel AI SDK's OpenAI provider and Composio
- The dotenv/config import automatically loads environment variables
- The MCP client import enables connection to Composio's tool server
```typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Composio } from "@composio/core";
import * as readline from "readline";
import { streamText, type ModelMessage, stepCountIs } from "ai";
import { createMCPClient } from "@ai-sdk/mcp";

const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey,
});
```

### 5. Create Tool Router session and initialize MCP client

What's happening:
- We're creating a Tool Router session that gives your agent access to Accredible certificates tools
- The create method takes the user ID and specifies which toolkits should be available
- The returned mcp object contains the URL and authentication headers needed to connect to the MCP server
- This session provides access to all Accredible certificates-related tools through the MCP protocol
```typescript
async function main() {
  // Create a tool router session for the user
  const session = await composio.create(composioUserID!, {
    toolkits: ["accredible_certificates"],
  });

  const mcpUrl = session.mcp.url;
```

### 6. Connect to MCP server and retrieve tools

What's happening:
- We're creating an MCP client that connects to our Composio Tool Router session via HTTP
- The mcp.url provides the endpoint, and mcp.headers contains authentication credentials
- The type: "http" is important - Composio requires HTTP transport
- tools() retrieves all available Accredible certificates tools that the agent can use
```typescript
const mcpClient = await createMCPClient({
  transport: {
    type: "http",
    url: mcpUrl,
    headers: session.mcp.headers, // Authentication headers for the Composio MCP server
  },
});

const tools = await mcpClient.tools();
```

### 7. Initialize conversation and CLI interface

What's happening:
- We initialize an empty messages array to maintain conversation history
- A readline interface is created to accept user input from the command line
- Instructions are displayed to guide the user on how to interact with the agent
```typescript
let messages: ModelMessage[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log(
  "Ask any questions related to accredible_certificates, like summarize my last 5 emails, send an email, etc... :)))\n",
);

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();
```

### 8. Handle user input and stream responses with real-time tool feedback

What's happening:
- We use streamText instead of generateText to stream responses in real-time
- toolChoice: "auto" allows the model to decide when to use Accredible certificates tools
- stopWhen: stepCountIs(10) allows up to 10 steps for complex multi-tool operations
- onStepFinish callback displays which tools are being used in real-time
- We iterate through the text stream to create a typewriter effect as the agent responds
- The complete response is added to conversation history to maintain context
- Errors are caught and displayed with helpful retry suggestions
```typescript
rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

  if (!trimmedInput) {
    rl.prompt();
    return;
  }

  messages.push({ role: "user", content: trimmedInput });
  console.log("\nAgent is thinking...\n");

  try {
    const stream = streamText({
      model: openai("gpt-5"),
      messages,
      tools,
      toolChoice: "auto",
      stopWhen: stepCountIs(10),
      onStepFinish: (step) => {
        for (const toolCall of step.toolCalls) {
          console.log(`[Using tool: ${toolCall.toolName}]`);
          }
          if (step.toolCalls.length > 0) {
            console.log(""); // Add space after tool calls
          }
        },
      });

      for await (const chunk of stream.textStream) {
        process.stdout.write(chunk);
      }

      console.log("\n\n---\n");

      // Get final result for message history
      const response = await stream.response;
      if (response?.messages?.length) {
        messages.push(...response.messages);
      }
    } catch (error) {
      console.error("\nAn error occurred while talking to the agent:");
      console.error(error);
      console.log(
        "\nYou can try again or restart the app if it keeps happening.\n",
      );
    } finally {
      rl.prompt();
    }
  });

  rl.on("close", async () => {
    await mcpClient.close();
    console.log("\n👋 Session ended.");
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
```

## Complete Code

```typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Composio } from "@composio/core";
import * as readline from "readline";
import { streamText, type ModelMessage, stepCountIs } from "ai";
import { createMCPClient } from "@ai-sdk/mcp";

const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey,
});

async function main() {
  // Create a tool router session for the user
  const session = await composio.create(composioUserID!, {
    toolkits: ["accredible_certificates"],
  });

  const mcpUrl = session.mcp.url;

  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      url: mcpUrl,
      headers: session.mcp.headers, // Authentication headers for the Composio MCP server
    },
  });

  const tools = await mcpClient.tools();

  let messages: ModelMessage[] = [];

  console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
  console.log(
    "Ask any questions related to accredible_certificates, like summarize my last 5 emails, send an email, etc... :)))\n",
  );

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (userInput: string) => {
    const trimmedInput = userInput.trim();

    if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
      console.log("\nGoodbye!");
      rl.close();
      process.exit(0);
    }

    if (!trimmedInput) {
      rl.prompt();
      return;
    }

    messages.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    try {
      const stream = streamText({
        model: openai("gpt-5"),
        messages,
        tools,
        toolChoice: "auto",
        stopWhen: stepCountIs(10),
        onStepFinish: (step) => {
          for (const toolCall of step.toolCalls) {
            console.log(`[Using tool: ${toolCall.toolName}]`);
          }
          if (step.toolCalls.length > 0) {
            console.log(""); // Add space after tool calls
          }
        },
      });

      for await (const chunk of stream.textStream) {
        process.stdout.write(chunk);
      }

      console.log("\n\n---\n");

      // Get final result for message history
      const response = await stream.response;
      if (response?.messages?.length) {
        messages.push(...response.messages);
      }
    } catch (error) {
      console.error("\nAn error occurred while talking to the agent:");
      console.error(error);
      console.log(
        "\nYou can try again or restart the app if it keeps happening.\n",
      );
    } finally {
      rl.prompt();
    }
  });

  rl.on("close", async () => {
    await mcpClient.close();
    console.log("\n👋 Session ended.");
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
```

## Conclusion

You've successfully built a Accredible certificates agent using the Vercel AI SDK with streaming capabilities! This implementation provides a powerful foundation for building AI applications with natural language interfaces and real-time feedback.
Key features of this implementation:
- Real-time streaming responses for a better user experience with typewriter effect
- Live tool execution feedback showing which tools are being used as the agent works
- Dynamic tool loading through Composio's Tool Router with secure authentication
- Multi-step tool execution with configurable step limits (up to 10 steps)
- Comprehensive error handling for robust agent execution
- Conversation history maintenance for context-aware responses
You can extend this further by adding custom error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

## How to build Accredible certificates MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/accredible_certificates/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/accredible_certificates/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/accredible_certificates/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/accredible_certificates/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/accredible_certificates/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/accredible_certificates/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/accredible_certificates/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/accredible_certificates/framework/cli)
- [Google ADK](https://composio.dev/toolkits/accredible_certificates/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/accredible_certificates/framework/langchain)
- [Mastra AI](https://composio.dev/toolkits/accredible_certificates/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/accredible_certificates/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/accredible_certificates/framework/crew-ai)

## Related Toolkits

- [Canvas](https://composio.dev/toolkits/canvas) - Canvas is a learning management system for online courses, assignments, grading, and collaboration. It's trusted by educators and students to streamline virtual classrooms and enhance digital learning.
- [Api bible](https://composio.dev/toolkits/api_bible) - API.Bible is a developer platform for Scripture content and passage search. Easily integrate Bible verses and translations into your apps or chatbots.
- [Blackboard](https://composio.dev/toolkits/blackboard) - Blackboard is a digital learning platform for higher education and schools, offering tools to manage courses, track engagement, and deliver interactive content. It helps institutions improve student outcomes through actionable analytics and in-app guidance.
- [Certifier](https://composio.dev/toolkits/certifier) - Certifier is a platform for creating, managing, and issuing digital certificates and credentials. Organizations use it to automate and secure the entire credentialing process.
- [Classmarker](https://composio.dev/toolkits/classmarker) - ClassMarker is a professional online quiz maker for business and education. It provides instant grading, flexible test design, and in-depth reporting.
- [Coassemble](https://composio.dev/toolkits/coassemble) - Coassemble is a flexible platform for building, managing, and delivering online training courses. It helps teams streamline onboarding, upskilling, and ongoing learning for employees or partners.
- [D2lbrightspace](https://composio.dev/toolkits/d2lbrightspace) - D2L Brightspace is a learning management system for delivering and managing online courses and assessments. It helps educators streamline digital teaching, assignments, and communication with students.
- [Dictionary api](https://composio.dev/toolkits/dictionary_api) - Dictionary api is the Merriam-Webster API providing rich dictionary and thesaurus data for developers. Instantly access definitions, synonyms, etymologies, and audio pronunciations in your apps.
- [Google Classroom](https://composio.dev/toolkits/google_classroom) - Google Classroom is a free web service for educators and students to manage assignments and communication. It streamlines classroom collaboration and grading, making teaching simpler and more connected.
- [Lessonspace](https://composio.dev/toolkits/lessonspace) - Lessonspace is an online collaborative classroom platform offering video, whiteboards, and real-time interaction for educators and students. It streamlines remote teaching with integrated tools for engagement and communication.
- [Linguapop](https://composio.dev/toolkits/linguapop) - Linguapop is a web platform for administering language placement tests in English, German, Spanish, Italian, and French. It helps schools and organizations efficiently manage multilingual assessments and analyze results.
- [Memberspot](https://composio.dev/toolkits/memberspot) - Memberspot is an online course and video-hosting platform for business learning. It helps teams manage, deliver, and track knowledge efficiently.
- [Membervault](https://composio.dev/toolkits/membervault) - Membervault is a platform for hosting courses, memberships, and digital products in one place. It helps you build stronger relationships with your audience by centralizing digital offers and customer engagement.
- [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable.
- [Google Calendar](https://composio.dev/toolkits/googlecalendar) - Google Calendar is a time management service for scheduling meetings, events, and reminders. It streamlines personal and team organization with integrated notifications and sharing options.
- [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices.
- [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management.
- [Twitter](https://composio.dev/toolkits/twitter) - Twitter is a social media platform for sharing real-time updates, conversations, and news. Stay connected, informed, and engaged with communities worldwide.
- [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly.
- [Supabase](https://composio.dev/toolkits/supabase) - Supabase is an open-source backend platform offering scalable Postgres databases, authentication, storage, and real-time APIs. It lets developers build modern apps without managing infrastructure.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Accredible certificates MCP?

With a standalone Accredible certificates MCP server, the agents and LLMs can only access a fixed set of Accredible certificates tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Accredible certificates and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with Vercel AI SDK v6?

Yes, you can. Vercel AI SDK v6 fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Accredible certificates tools.

### Can I manage the permissions and scopes for Accredible certificates while using Tool Router?

Yes, absolutely. You can configure which Accredible certificates scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Accredible certificates data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
