# How to integrate Prisma MCP with Vercel AI SDK v6

```json
{
  "title": "How to integrate Prisma MCP with Vercel AI SDK v6",
  "toolkit": "Prisma",
  "toolkit_slug": "prisma",
  "framework": "Vercel AI SDK",
  "framework_slug": "ai-sdk",
  "url": "https://composio.dev/toolkits/prisma/framework/ai-sdk",
  "markdown_url": "https://composio.dev/toolkits/prisma/framework/ai-sdk.md",
  "updated_at": "2026-05-12T10:22:42.226Z"
}
```

## Introduction

This guide walks you through connecting Prisma to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Prisma agent that can create a new postgres database in your project, run a sql query to list all users, delete a database connection by name through natural language commands.
This guide will help you understand how to give your Vercel AI SDK agent real control over a Prisma account through Composio's Prisma MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Prisma with

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

## TL;DR

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

The Prisma MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Prisma account. It provides structured and secure access to your database management, so your agent can perform actions like creating projects, managing databases, executing SQL queries, and handling API keys on your behalf.
- Automated project and database provisioning: Instantly create new Prisma projects and managed PostgreSQL databases in your workspace, complete with connection strings and API keys for fast onboarding.
- On-demand SQL execution and analysis: Have your agent run SQL commands or select queries for reporting, data inspection, or schema changes—without manual intervention.
- API key and connection management: Programmatically generate, rotate, or revoke database API keys, ensuring secure and controlled access for all your applications.
- Workspace and resource monitoring: Retrieve detailed information about your workspaces, projects, and databases, allowing your agent to validate deployments or monitor status in real time.
- Safe resource cleanup and deletion: Direct your agent to delete databases, projects, or specific connections—helping you maintain a tidy, secure, and cost-effective data platform.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `PRISMA_CREATE_CONNECTION` | Create Database Connection | Create new API key connection for database access. Creates connection string with embedded credentials for application database access. Returns complete connection details ready for immediate use. |
| `PRISMA_CREATE_DATABASE` | Create Project Database | Create new postgres database in an existing Prisma project. Creates database in specified region with connection strings and API keys. Returns complete database details ready for immediate use. |
| `PRISMA_CREATE_PROJECT` | Create Prisma Project | Create new Prisma project with managed postgres database. Creates project in authenticated user's workspace with postgres database in specified region. Returns complete project details including connection strings and API keys. |
| `PRISMA_DELETE_CONNECTION` | Delete Database Connection | Permanently delete database connection and revoke API key access. WARNING: This immediately revokes database access for any applications using this connection string. Ensure no critical systems depend on this connection. |
| `PRISMA_DELETE_DATABASE` | Delete Prisma Database | Permanently delete Prisma database and all stored data. WARNING: This action cannot be undone. All data in the database will be permanently destroyed. Default databases typically cannot be deleted. |
| `PRISMA_DELETE_PROJECT` | Delete Prisma Project | Permanently delete Prisma project and all associated resources. WARNING: This action cannot be undone. All databases, environments, and project data will be permanently destroyed. Use with extreme caution in production environments. |
| `PRISMA_EXECUTE_SQL_COMMAND` | Execute SQL Command | Execute SQL commands that modify database data or structure. Runs INSERT, UPDATE, DELETE, CREATE TABLE, and other data modification commands safely through PostgreSQL driver with parameterized query support. |
| `PRISMA_EXECUTE_SQL_QUERY` | Execute SQL Query | Execute SQL SELECT queries against Prisma Postgres databases. Runs read-only queries safely through direct PostgreSQL connection with SSL. Uses credentials from create_connection action (host, user, pass fields). Perfect for data analysis, schema inspection, and reporting operations. |
| `PRISMA_GET_DATABASE` | Get Prisma Database | Retrieve specific Prisma database by ID. Returns database details including status, project context, and regional deployment. Use for database monitoring, validation, and administrative operations. |
| `PRISMA_GET_DATABASE_USAGE` | Get Database Usage Metrics | Retrieve usage metrics for a specific Prisma database. Returns metrics including storage usage and operation counts (reads/writes) for the specified time period. Use for monitoring resource consumption, cost analysis, and capacity planning. |
| `PRISMA_GET_PROJECT` | Get Prisma Project | Retrieve specific Prisma project by ID. Returns project details including name, creation timestamp, and workspace information. Use for project detail views, validation, and administrative operations. |
| `PRISMA_INSPECT_DATABASE_SCHEMA` | Inspect Database Schema | Inspect database schema structure and table information. Returns comprehensive schema details including tables, columns, data types, constraints, and relationships. Essential for understanding database structure before executing queries. |
| `PRISMA_LIST_ACCELERATE_REGIONS` | List Prisma Accelerate Regions | Retrieve all available regions for Prisma Accelerate. Returns regions where Accelerate global database cache can be deployed. Use for cache region selection to minimize latency for your users. |
| `PRISMA_LIST_BACKUPS` | List Database Backups | Retrieve list of available backups for a specific database. Returns backup details including status, size, type, and restoration readiness. Use for backup monitoring, restoration planning, and compliance auditing. |
| `PRISMA_LIST_CONNECTIONS` | List Database Connections | Retrieve paginated list of connections for a specific database. Returns connection details including names, creation dates, and database context. Use for API key management, security audits, and access control. |
| `PRISMA_LIST_DATABASES` | List Project Databases | Retrieve paginated list of databases for a specific Prisma project. Returns database details including status, region, and project context. Use for database discovery, monitoring, and project administration. |
| `PRISMA_LIST_POSTGRES_REGIONS` | List Prisma Postgres Regions | Retrieve all available regions for Prisma Postgres. Returns regions where Prisma Postgres databases can be deployed with current availability status. Use for region selection during database creation and capacity planning. |
| `PRISMA_LIST_PROJECTS` | List Prisma Projects | Retrieve paginated list of Prisma projects accessible to authenticated user. Returns project IDs, names, workspace info, and timestamps with cursor-based pagination. Use for project discovery, UI selection flows, and administrative operations. |
| `PRISMA_LIST_WORKSPACE_INTEGRATIONS` | List Workspace Integrations | Retrieve paginated list of integrations for a specific Prisma workspace. Returns integration details including OAuth client info, granted scopes, and creator. Use for security audits, integration management, and workspace administration. |
| `PRISMA_LIST_WORKSPACES` | List Prisma Workspaces | Retrieve paginated list of Prisma workspaces accessible to authenticated user. Returns workspace IDs, names, creation timestamps with cursor-based pagination. Use for workspace discovery, UI selection flows, and administrative operations. |
| `PRISMA_RESTORE_BACKUP` | Restore Database Backup | Restore database backup to new database instance. Creates new database from existing backup with specified name. Operation is asynchronous - monitor the returned database status for completion. Restoration may take several minutes. |
| `PRISMA_TRANSFER_PROJECT` | Transfer Prisma Project | Transfer Prisma project ownership to another user's workspace. Transfers project ownership from the current authenticated user to the recipient specified by their OAuth2 access token. This is typically used in partner integrations where databases are provisioned on the partner's workspace and later transferred to end users. The project and all its databases are moved to the recipient's workspace. The current owner loses access unless the new owner explicitly grants it. Requirements: - Valid project ID owned by the current user - Valid OAuth2 access token for the recipient user - Recipient workspace must have sufficient quota for the project |

## Supported Triggers

None listed.

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

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

  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 Prisma 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 prisma, 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 Prisma 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: ["prisma"],
  });

  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 prisma, 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 Prisma 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 Prisma MCP Agent with another framework

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

## Related Toolkits

- [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.
- [Codeinterpreter](https://composio.dev/toolkits/codeinterpreter) - Codeinterpreter is a Python-based coding environment with built-in data analysis and visualization. It lets you instantly run scripts, plot results, and prototype solutions inside supported platforms.
- [GitHub](https://composio.dev/toolkits/github) - GitHub is a code hosting platform for version control and collaborative software development. It streamlines project management, code review, and team workflows in one place.
- [Ably](https://composio.dev/toolkits/ably) - Ably is a real-time messaging platform for live chat and data sync in modern apps. It offers global scale and rock-solid reliability for seamless, instant experiences.
- [Abuselpdb](https://composio.dev/toolkits/abuselpdb) - Abuselpdb is a central database for reporting and checking IPs linked to malicious online activity. Use it to quickly identify and report suspicious or abusive IP addresses.
- [Alchemy](https://composio.dev/toolkits/alchemy) - Alchemy is a blockchain development platform offering APIs and tools for Ethereum apps. It simplifies building and scaling Web3 projects with robust infrastructure.
- [Algolia](https://composio.dev/toolkits/algolia) - Algolia is a hosted search API that powers lightning-fast, relevant search experiences for web and mobile apps. It helps developers deliver instant, typo-tolerant, and scalable search without complex infrastructure.
- [Anchor browser](https://composio.dev/toolkits/anchor_browser) - Anchor browser is a developer platform for AI-powered web automation. It transforms complex browser actions into easy API endpoints for streamlined web interaction.
- [Apiflash](https://composio.dev/toolkits/apiflash) - Apiflash is a website screenshot API for programmatically capturing web pages. It delivers high-quality screenshots on demand for automation, monitoring, or reporting.
- [Apiverve](https://composio.dev/toolkits/apiverve) - Apiverve delivers a suite of powerful APIs that simplify integration for developers. It's designed for reliability and scalability so you can build faster, smarter applications without the integration headache.
- [Appcircle](https://composio.dev/toolkits/appcircle) - Appcircle is an enterprise-grade mobile CI/CD platform for building, testing, and publishing mobile apps. It streamlines mobile DevOps so teams ship faster and with more confidence.
- [Appdrag](https://composio.dev/toolkits/appdrag) - Appdrag is a cloud platform for building websites, APIs, and databases with drag-and-drop tools and code editing. It accelerates development and iteration by combining hosting, database management, and low-code features in one place.
- [Appveyor](https://composio.dev/toolkits/appveyor) - AppVeyor is a cloud-based continuous integration service for building, testing, and deploying applications. It helps developers automate and streamline their software delivery pipelines.
- [Backendless](https://composio.dev/toolkits/backendless) - Backendless is a backend-as-a-service platform for mobile and web apps, offering database, file storage, user authentication, and APIs. It helps developers ship scalable applications faster without managing server infrastructure.
- [Baserow](https://composio.dev/toolkits/baserow) - Baserow is an open-source no-code database platform for building collaborative data apps. It makes it easy for teams to organize data and automate workflows without writing code.
- [Bench](https://composio.dev/toolkits/bench) - Bench is a benchmarking tool for automated performance measurement and analysis. It helps you quickly evaluate, compare, and track your systems or workflows.
- [Better stack](https://composio.dev/toolkits/better_stack) - Better Stack is a monitoring, logging, and incident management solution for apps and services. It helps teams ensure application reliability and performance with real-time insights.
- [Bitbucket](https://composio.dev/toolkits/bitbucket) - Bitbucket is a Git-based code hosting and collaboration platform for teams. It enables secure repository management and streamlined code reviews.
- [Blazemeter](https://composio.dev/toolkits/blazemeter) - Blazemeter is a continuous testing platform for web and mobile app performance. It empowers teams to automate and analyze large-scale tests with ease.
- [Blocknative](https://composio.dev/toolkits/blocknative) - Blocknative delivers real-time mempool monitoring and transaction management for public blockchains. Instantly track pending transactions and optimize blockchain interactions with live data.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Prisma MCP?

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

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

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

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