# How to integrate Api bible MCP with Vercel AI SDK v6

```json
{
  "title": "How to integrate Api bible MCP with Vercel AI SDK v6",
  "toolkit": "Api bible",
  "toolkit_slug": "api_bible",
  "framework": "Vercel AI SDK",
  "framework_slug": "ai-sdk",
  "url": "https://composio.dev/toolkits/api_bible/framework/ai-sdk",
  "markdown_url": "https://composio.dev/toolkits/api_bible/framework/ai-sdk.md",
  "updated_at": "2026-05-12T10:01:23.455Z"
}
```

## Introduction

This guide walks you through connecting Api bible to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Api bible agent that can list all books in the old testament, find verses about forgiveness in niv, get section breakdown for genesis in esv through natural language commands.
This guide will help you understand how to give your Vercel AI SDK agent real control over a Api bible account through Composio's Api bible MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Api bible with

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

## TL;DR

Here's what you'll learn:
- How to set up and configure a Vercel AI SDK agent with Api bible integration
- Using Composio's Tool Router to dynamically load and access Api bible 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 Api bible MCP server, and what's possible with it?

The Api bible MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Api bible account. It provides structured and secure access to Scripture content, so your agent can perform actions like searching verses, retrieving books, exploring Bible versions, and fetching specific sections or metadata on your behalf.
- Comprehensive verse search: Instantly ask your agent to find Bible verses containing specific words or topics across supported translations.
- Explore all books of the Bible: Retrieve a full catalog of every biblical book, making it easy to browse or reference any part of Scripture.
- List and select Bible translations: Have your agent list all available Bible versions so you can choose the translation that fits your needs.
- Detailed section and passage retrieval: Fetch detailed content for any section or passage once you know the Bible and book IDs—perfect for study or quotation.
- Access Bible version metadata: Get in-depth metadata about any specific Bible edition, including language, abbreviation, and publisher details.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `API_BIBLE_GET_ALL_BOOKS` | Get All Books | Retrieve all books for a specific Bible version. Requires a valid Bible version ID (obtainable from Get Supported Versions). Returns a list of books with their IDs, names, and abbreviations in the Bible's native language. |
| `API_BIBLE_GET_AUDIO_BIBLE` | Get Audio Bible by ID | Tool to retrieve details of a specific audio Bible by its ID. Use when you need metadata about an audio Bible version. |
| `API_BIBLE_GET_AUDIO_BOOK` | Get Audio Book | Tool to retrieve a single audio Book object for a given audio Bible ID and book ID. Use when you need metadata about a specific audio book. |
| `API_BIBLE_GET_AUDIO_CHAPTER` | Get Audio Chapter | Tool to retrieve a single audio chapter with mp3 resource URL. Use when you need to fetch audio content for a specific chapter of an audio Bible. The resourceUrl provided in the response is temporary and expires after a certain time (indicated by expiresAt). |
| `API_BIBLE_GET_BIBLE` | Get Bible by ID | Tool to retrieve details of a specific Bible version by its ID. Use when you need full metadata after listing versions. Example prompt: 'Get metadata for bibleId de4e12af7f28f599-01'. |
| `API_BIBLE_GET_BOOK` | Get Book | Tool to retrieve a single Book object for a given Bible version and book ID. Use when you need details about a specific book, optionally including its chapters. |
| `API_BIBLE_GET_CHAPTER` | Get Chapter | Retrieve a complete chapter with all verses from a Bible version. Use when you need to fetch an entire chapter's content including all verses, navigation to adjacent chapters, and copyright information. First use Get Supported Versions to obtain valid Bible IDs. |
| `API_BIBLE_GET_PASSAGE` | Get Passage | Retrieve a Bible passage by ID. A passage can represent a chapter, verse, or range of verses. Use when you need to fetch specific scripture content with configurable display options. |
| `API_BIBLE_GET_SECTION` | Get Section | Retrieve detailed content for a Bible section by ID. A section represents a thematic grouping of verses (e.g., 'The Genealogy of Jesus', 'The Sermon on the Mount'). First use Get Sections to obtain section IDs for a specific book, then use this action to fetch the full content with configurable display options. |
| `API_BIBLE_GET_SECTIONS` | Get Sections | Tool to retrieve a list of sections for a specific book in a Bible version. Use after obtaining the Bible and book IDs to view sectional breakdown. |
| `API_BIBLE_GET_SUPPORTED_VERSIONS` | Get Supported Bible Versions | Retrieve a list of available Bible versions (translations) from API.Bible. Use this tool to: - List all available Bible translations before searching for verses - Find Bible versions by language (e.g., English, Spanish, German) - Search for specific translations by name or abbreviation - Get the Bible version ID needed for other API.Bible operations The returned version IDs can be used with other API.Bible tools to access specific Bible content like books, chapters, verses, and sections. |
| `API_BIBLE_GET_VERSE` | Get Verse | Retrieve a specific Bible verse by ID. Use this action when you need to fetch the content of a single verse from a specific Bible version. First use Get Supported Versions to obtain a valid bibleId, then provide the verse ID in format BOOK.CHAPTER.VERSE (e.g., 'JHN.3.16' for John 3:16). Configurable display options allow control over footnotes, titles, and verse numbering. |
| `API_BIBLE_LIST_AUDIO_BIBLES` | List Audio Bibles | Tool to retrieve an array of audio Bible objects authorized for the current API Key. Use when you need to discover available audio Bible versions, filter by language, name, or abbreviation. |
| `API_BIBLE_LIST_AUDIO_BOOKS` | List Audio Books | Tool to retrieve all books for a specific audio Bible version. Use when you need to list available audio books for a given audio Bible ID. Returns a list of books with their IDs, names, and abbreviations in the Bible's native language. |
| `API_BIBLE_LIST_AUDIO_CHAPTERS` | List Audio Chapters | Tool to retrieve a list of audio chapters for a specific book in an audio Bible version. Use after obtaining the audio Bible ID and book ID to view available audio chapters. |
| `API_BIBLE_LIST_CHAPTERS` | List Chapters | Tool to retrieve an array of Chapter objects for a given Bible version and book. Use after obtaining the Bible and book IDs to view all chapters available. |
| `API_BIBLE_LIST_CHAPTER_SECTIONS` | List Chapter Sections | Tool to retrieve an array of section objects for a specific chapter in a Bible version. Use after obtaining the Bible and chapter IDs to view sectional breakdown of a chapter. |
| `API_BIBLE_LIST_VERSES` | List Verses | Tool to retrieve an array of verses for a specific chapter in a Bible version. Use after obtaining Bible and chapter IDs to get all verses in that chapter. |
| `API_BIBLE_SEARCH_VERSES` | Search Bible Verses | Search for Bible verses containing specified keywords or passage references. This tool searches within a specific Bible version for verses matching your query. For keyword searches, all keywords must be present in a verse to match. You can also search by passage reference (e.g., 'John 3:16-19'). Use API_BIBLE_GET_SUPPORTED_VERSIONS to get valid Bible version IDs. |

## Supported Triggers

None listed.

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

The Api bible MCP server is an implementation of the Model Context Protocol that connects your AI agent to Api bible. It provides structured and secure access so your agent can perform Api bible 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 Api bible 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 Api bible-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: ["api_bible"],
  });

  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 Api bible 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 api_bible, 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 Api bible 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: ["api_bible"],
  });

  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 api_bible, 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 Api bible 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 Api bible MCP Agent with another framework

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

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## Frequently Asked Questions

### What are the differences in Tool Router MCP and Api bible MCP?

With a standalone Api bible MCP server, the agents and LLMs can only access a fixed set of Api bible tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Api bible 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 Api bible tools.

### Can I manage the permissions and scopes for Api bible while using Tool Router?

Yes, absolutely. You can configure which Api bible 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 Api bible data and credentials are handled as safely as possible.

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