Monday with Vercel AI SDK

How to integrate Monday MCP with Vercel AI SDK v6

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Introduction Also integrate Monday with TL;DR What is Vercel AI SDK What is the Monday MCP server Supported Tools & Triggers Creating MCP Server - Stand-alone vs Composio SDK Step-by-step Guide Complete Code Conclusion How to build Monday MCP Agent with another framework Explore Other Toolkits FAQ

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Introduction

This guide walks you through connecting Monday to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Monday agent that can create a new project board for q3, add users to the design review board, archive completed tasks from last week through natural language commands.

This guide will help you understand how to give your Vercel AI SDK agent real control over a Monday account through Composio's Monday MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Monday with

ChatGPT OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenCode Cursor VS Code OpenClaw Hermes CLI Google ADK LangChain Mastra AI LlamaIndex CrewAI

TL;DR

Here's what you'll learn:

How to set up and configure a Vercel AI SDK agent with Monday integration
Using Composio's Tool Router to dynamically load and access Monday 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 Monday MCP server, and what's possible with it?

The Monday MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Monday.com workspace. It provides structured and secure access to your boards, items, and workflows, so your agent can perform actions like creating items, managing boards, updating columns, and organizing groups on your behalf.

Automated board and item management: Effortlessly create new boards, add items to existing boards, and archive or delete items as your projects evolve.
Dynamic column and group organization: Let your agent create, update, or remove columns and groups to keep your boards tailored to your team's needs.
Collaborative user and role administration: Add users to boards and assign roles, ensuring the right people have access and permissions for every project.
Streamlined workflow customization: Change column values, assign statuses or dropdowns, and create groups to match your workflow requirements in real time.
Efficient cleanup and restructuring: Archive or permanently delete boards, columns, or groups when they're no longer needed, keeping your workspace organized and clutter-free.

Supported Tools & Triggers

Tools

Get account trigger statisticsTool to retrieve statistics about account-level triggers and automations.

Activate usersTool to activate or reactivate users in a Monday.

Add subscribers to objectTool to add subscribers or owners to a monday.

Add teams to boardTool to add teams to a Monday.

Add users to boardAdds users to a Monday.

Add users to teamTool to add users to a Monday.

Add users to workspaceTool to add one or more users to a workspace.

Aggregate board dataTool to aggregate data across Monday.

Get app subscriptionTool to retrieve current app subscription data for the account.

Archive boardArchives a specified, existing, and unarchived board in Monday.

Archive itemArchives an existing Monday.

Archive objectArchives a Monday.

Archive workspaceTool to archive a Monday.

Get audit logsTool to retrieve detailed security-related activity records for a Monday.

Get document blocksTool to retrieve document block data from workdocs via the API.

Get boardsTool to retrieve board data via the Monday.

Change simple column valueChanges a specific column's value for a Monday.

Get board columnsTool to retrieve column metadata from boards via the GraphQL API.

Get connection board IDsTool to retrieve board IDs associated with connection columns.

Get connectionsTool to retrieve connection data for integrations with external services.

Connect project to portfolioLinks an existing project board to a portfolio board for centralized management.

Convert board to projectConverts a regular Monday.

Create a Monday boardCreates a Monday.

Create columnCreates a new column with a specified type and title on a monday.

Create custom activityTool to create a custom activity in the Monday.

Create a Monday dashboardTool to create a Monday.

Create docTool to create a new doc in Monday.

Create a folderTool to create a new folder in a Monday.

Create groupCreates a new group with the given `group_name` on an existing Monday.

Create itemCreates a new item on a Monday.

Create Item From Natural LanguageCreates a new item on a Monday.

Create notificationTool to send a notification to a user.

Create objectTool to create any Monday.

Create tagTool to create a new tag or return an existing tag.

Create timeline itemTool to create a new timeline item in the Emails & Activities app on a Monday.

Create updateTool to create a new update for an item or reply to an existing update.

Invite and create a Monday userTool to invite and create a new user.

Create a Monday workspaceTool to create a Monday.

Get custom activityTool to retrieve custom activity data from the Emails & Activities app.

Deactivate usersTool to deactivate users from a monday.

Delete assetTool to remove uploaded files.

Delete boardTool to permanently delete a board from your Monday.

Delete columnDeletes a specified column from a Monday.

Delete Custom ActivityTool to delete a custom activity from the Emails & Activities app.

Delete docTool to delete a Monday.

Delete folderTool to permanently delete a folder and all its contents from a Monday.

Delete groupPermanently deletes an existing group (and its items) from an existing board in Monday.

Delete itemPermanently deletes an existing Monday.

Delete objectTool to permanently delete a Monday.

Delete subscribers from boardTool to remove subscribers from a Monday.

Delete tagTool to remove a tag from an item in Monday.

Delete teamTool to delete an existing team; use when you need to permanently remove a team by its ID after confirming it’s no longer needed.

Delete teams from boardTool to remove teams from a board; use when you need to revoke team access to a specific board.

Delete teams from workspaceTool to remove teams from a workspace.

Delete timeline itemTool to delete a timeline item from the Emails & Activities app.

Delete updateTool to delete an update by its ID.

Delete workspaceTool to permanently delete a workspace by its ID.

Retrieve Monday docsTool to retrieve Monday.

Duplicate boardTool to duplicate a Monday.

Duplicate itemDuplicates an item on a Monday.

Edit updateTool to modify the text content of an existing update on an item.

Get account infoRetrieve account metadata and settings for the authenticated Monday.

Get board activity logsTool to retrieve activity logs from a specific Monday.

Get API versionTool to retrieve the Monday.

Get assetsTool to retrieve file/asset metadata from monday.

Get board viewsTool to retrieve board view data via GraphQL API.

Get favoritesTool to retrieve all favorited items for the authenticated user.

Get foldersTool to retrieve folder data from workspaces with filtering and pagination options.

Get form detailsTool to retrieve form metadata via the API using the form's unique token from the URL.

Get items by IDsTool to retrieve specific items by their IDs from Monday.

Get current userTool to fetch the current authenticated user's profile and permissions.

Get mutation complexityTool to get complexity data of mutations in Monday.

Get query complexityTool to retrieve complexity data and cost metrics for Monday.

Get tagsTool to retrieve tags from the account.

Get teamsTool to retrieve teams from Monday.

Get update repliesRetrieves updates and their replies for a specific Monday.

Get item updatesTool to retrieve updates for a specific item.

Get API versionsTool to retrieve data about available API versions.

Get view schema by typeTool to retrieve type-specific board view configuration schemas via GraphQL API.

Get webhooksTool to retrieve webhooks for a board.

Get workspacesTool to retrieve workspaces.

Import doc from HTMLTool to import HTML content into a new Monday.

Get items pageTool to retrieve items from a Monday.

Like updateTool to like an update on an item.

List groupsTool to retrieve all groups of a specified board.

List itemsRetrieves specified subitems from Monday.

List items by column valuesTool to search for items on a Monday.

List subitems by parentTool to retrieve subitems nested under parent items via GraphQL API.

List team membersTool to list members of a specified team.

List usersRetrieves a list of users from Monday.

Move item to boardMoves a Monday.

Move item to groupMoves an item to a different group on the same Monday.

Query board mute settingsTool to query a board's notification mute settings.

Pin update to topTool to pin an update to the top of an item.

Publish objectTool to publish a Monday.

Query dashboardsTool to query dashboards via Monday.

Query sprintsTool to query sprint data for agile project management from Monday.

Remove users from teamTool to remove users from a Monday.

Remove users from workspaceTool to remove users from a workspace.

Set board permissionSets or updates a board's default role and permissions.

Get item timelineTool to retrieve an item's Email & Activities (E&A) timeline data from Monday.

Get timeline itemTool to retrieve a specific timeline item from the Emails & Activities app by ID.

Unlike updateTool to remove a like from an update on an item.

Unpin update from topTool to unpin an update from the top of an item.

Unpublish objectUnpublish a Monday.

Update boardUpdates a specified attribute of an existing board on Monday.

Update board hierarchyUpdates a board's position, workspace, or product in Monday.

Update columnTool to update column title or description.

Update a docTool to update a doc's title or append markdown content.

Update email domainTool to update users' email domains.

Update a Monday folderTool to update a Monday.

Update groupTool to update an existing group on a board.

Update itemTool to update an existing item's column value on Monday.

Update multiple usersTool to update one or multiple users' attributes on Monday.

Update mute board settingsTool to update a board's notification mute settings.

Update tagTool to return a tag's details or best-effort "rename" by creating or getting a tag with the requested name.

Update teamTool to update a team's details in Monday.

Update users roleTool to update users' roles to custom or default roles.

Update a Monday workspaceTool to update a Monday.

Upload AssetTool to upload a file to an update or file column.

Get user connectionsTool to query user-specific connection data from Monday.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Prerequisites

Before you begin, make sure you have:

Node.js and npm installed
A Composio account with API key
An OpenAI API key

Getting API Keys for OpenAI and Composio

OpenAI API Key

Go to the OpenAI dashboard 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.
Navigate to your API settings and generate a new API key.
Store this key securely as you'll need it for authentication.

Install required dependencies

bash

npm install @ai-sdk/openai @ai-sdk/mcp @composio/core ai dotenv

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

Set up environment variables

bash

OPENAI_API_KEY=your_openai_api_key_here
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here

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

Import required modules and validate environment

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,
});

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

Create Tool Router session and initialize MCP client

typescript

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

  const mcpUrl = session.mcp.url;

What's happening:

We're creating a Tool Router session that gives your agent access to Monday 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 Monday-related tools through the MCP protocol

Connect to MCP server and retrieve tools

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();

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 Monday tools that the agent can use

Initialize conversation and CLI interface

typescript

let messages: ModelMessage[] = [];

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

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

rl.prompt();

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

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

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);
});

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 Monday 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

Complete Code

Here's the complete code to get you started with Monday and Vercel AI SDK:

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: ["monday"],
  });

  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 monday, 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 Monday 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 Monday MCP Agent with another framework

ChatGPT

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OpenAI Agents SDK

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Claude Agent SDK

Use Monday MCP with Claude Agent SDK

Claude Code

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Claude Cowork

Use Monday MCP with Claude Cowork

Codex

Use Monday MCP with Codex

Cursor

Use Monday MCP with Cursor

OpenClaw

Use Monday MCP with OpenClaw

Hermes

Use Monday MCP with Hermes

CLI

Use Monday MCP with CLI

Google ADK

Use Monday MCP with Google ADK

LangChain

Use Monday MCP with LangChain

Mastra AI

Use Monday MCP with Mastra AI

LlamaIndex

Use Monday MCP with LlamaIndex

CrewAI

Use Monday MCP with CrewAI

OpenCode

Use Monday MCP with OpenCode

VS Code

Use Monday MCP with VS Code

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TOOLKIT MARKETPLACE

FAQ

What are the differences in Tool Router MCP and Monday MCP?

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

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

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

Used by agents from

Never worry about agent reliability

We handle tool reliability, observability, and security so you never have to second-guess an agent action.

Get started for free Get a demo↗

Harsha GaddipatiCo-founder, Slashy

Karan skipped his own birthday party to fix our critical issue. It was 10 pm and he diverted his Waymo to help us instead. This really sets the bar, shows you the commitment you need to have when users rely on your software.

Abhi AryaCo-founder, Opennote

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it has immensely helped in keeping new users on the platform.

Nirman DaveCEO, Zams

We chose Composio over Pipedream because it delivered depth where it mattered. It supported niche tools and tricky edge cases that other platforms simply ignored. Giving us confidence to scale without compromising.

Ryan YuFounder, Extra Thursday

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down in the complexities of managing agent auth would have been a death sentence for Extra Thursday.

Tomisin JenrolaFounder & CEO, SwarmZero

Before partnering with Composio, adding tool integrations was a slow, resource-intensive process. Each integration could take weeks or months of engineering time, and maintaining them meant constantly keeping up with API changes.

Jerome LeclancheCo-Founder, Ingram Technologies

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

How to integrate Monday MCP with Vercel AI SDK v6

Table of Contents

Connect Monday without Auth hassles

Introduction

Also integrate Monday with

TL;DR

What is Vercel AI SDK?

What is the Monday MCP server, and what's possible with it?

Supported Tools & Triggers

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install required dependencies

Set up environment variables

Import required modules and validate environment

Create Tool Router session and initialize MCP client

Connect to MCP server and retrieve tools

Initialize conversation and CLI interface

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

Complete Code

Conclusion

How to build Monday MCP Agent with another framework

ChatGPT

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

Cursor

OpenClaw

Hermes

CLI

Google ADK

LangChain

Mastra AI

LlamaIndex

CrewAI

OpenCode

VS Code

Explore Other Toolkits

Google Sheets

Notion

Airtable

FAQ

What are the differences in Tool Router MCP and Monday MCP?

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

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

How safe is my data with Composio Tool Router?

Used by agents from

Never worry about agent reliability