How to integrate Tave MCP with LlamaIndex

This guide walks you through connecting Tave to LlamaIndex using the Composio tool router. By the end, you'll have a working Tave agent that can list all open jobs assigned to me, add a new client to tave contacts, update status of a job to 'completed' through natural language commands. This guide will help you understand how to give your LlamaIndex agent real control over a Tave account through Composio's Tave MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Tave

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Tave is a studio management app for photographers, streamlining client management, job tracking, and business workflows. It helps studios stay organized and operate efficiently.

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Introduction

This guide will help you understand how to give your LlamaIndex agent real control over a Tave account through Composio's Tave MCP server.

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

Also integrate Tave with

OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK Mastra AI CrewAI

TL;DR

Here's what you'll learn:

Set your OpenAI and Composio API keys
Install LlamaIndex and Composio packages
Create a Composio Tool Router session for Tave
Connect LlamaIndex to the Tave MCP server
Build a Tave-powered agent using LlamaIndex
Interact with Tave through natural language

What is LlamaIndex?

LlamaIndex is a data framework for building LLM applications. It provides tools for connecting LLMs to external data sources and services through agents and tools.

Key features include:

ReAct Agent: Reasoning and acting pattern for tool-using agents
MCP Tools: Native support for Model Context Protocol
Context Management: Maintain conversation context across interactions
Async Support: Built for async/await patterns

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

The Tave MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Tave account. It provides structured and secure access so your agent can perform Tave operations on your behalf.

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

Step by step10 STEPS

Prerequisites

Before you begin, make sure you have:

Python 3.8/Node 16 or higher installed
A Composio account with the API key
An OpenAI API key
A Tave account and project
Basic familiarity with async Python/Typescript

Getting API Keys for OpenAI, Composio, and Tave

OpenAI API key (OPENAI_API_KEY)

Go to the OpenAI dashboard
Create an API key if you don't have one
Assign it to OPENAI_API_KEY in .env

Composio API key and user ID

Log into the Composio dashboard
Copy your API key from Settings
- Use this as COMPOSIO_API_KEY
Pick a stable user identifier (email or ID)
- Use this as COMPOSIO_USER_ID

Installing dependencies

npm install @composio/llamaindex @llamaindex/openai @llamaindex/tools @llamaindex/workflow dotenv

Create a new Typescript project and install the necessary dependencies:

@composio/llamaindex: Composio's LlamaIndex integration
@llamaindex/openai: OpenAI LLM integration
@llamaindex/tools: MCP client for LlamaIndex
@llamaindex/workflow: Workflow framework for LlamaIndex
dotenv: Environment variable management

Set environment variables

bash

OPENAI_API_KEY=your-openai-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id

Create a .env file in your project root:

These credentials will be used to:

Authenticate with OpenAI's GPT-5 model
Connect to Composio's Tool Router
Identify your Composio user session for Tave access

Import modules

import "dotenv/config";
import readline from "node:readline/promises";
import { stdin as input, stdout as output } from "node:process";

import { Composio } from "@composio/core";

import { mcp } from "@llamaindex/tools";
import { agent as createAgent } from "@llamaindex/workflow";
import { openai } from "@llamaindex/openai";

dotenv.config();

Create a new file called tave_llamaindex_agent.ts and import the required modules:

Key imports:

dotenv.config loads .env at runtime
readline gives us a simple CLI chat loop
Composio is the main Composio SDK client
mcp connects to an MCP endpoint
createAgent builds a LlamaIndex agent
openai configures the LLM backend

Load environment variables and initialize Composio

const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const COMPOSIO_API_KEY = process.env.COMPOSIO_API_KEY;
const COMPOSIO_USER_ID = process.env.COMPOSIO_USER_ID;

if (!OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set");
if (!COMPOSIO_API_KEY) throw new Error("COMPOSIO_API_KEY is not set");
if (!COMPOSIO_USER_ID) throw new Error("COMPOSIO_USER_ID is not set");

What's happening:

This ensures missing credentials cause early, clear errors before the agent attempts to initialise.

Create a Tool Router session and build the agent function

async function buildAgent() {

  console.log(`Initializing Composio client...${COMPOSIO_USER_ID!}...`);
  console.log(`COMPOSIO_USER_ID: ${COMPOSIO_USER_ID!}...`);

  const composio = new Composio({
    apiKey: COMPOSIO_API_KEY,
    provider: new LlamaindexProvider(),
  });

  const session = await composio.create(
    COMPOSIO_USER_ID!,
    {
      toolkits: ["tave"],
    },
  );

  const mcpUrl = session.mcp.url;
  console.log(`Composio Tool Router MCP URL: ${mcpUrl}`);

  const server = mcp({
    url: mcpUrl,
    clientName: "composio_tool_router_with_llamaindex",
    requestInit: {
      headers: {
        "x-api-key": COMPOSIO_API_KEY!,
      },
    },
    // verbose: true,
  });

  const tools = await server.tools();

  const llm = openai({ apiKey: OPENAI_API_KEY, model: "gpt-5" });

  const agent = createAgent({
    name: "composio_tool_router_with_llamaindex",
        description : "An agent that uses Composio Tool Router MCP tools to perform actions.",
    systemPrompt:
      "You are a helpful assistant connected to Composio Tool Router."+
"Use the available tools to answer user queries and perform Tave actions." ,
    llm,
    tools,
  });

  return agent;
}

What's happening here:

We create a Composio client using your API key and configure it with the LlamaIndex provider
We then create a tool router MCP session for your user, specifying the toolkits we want to use (in this case, tave)
The session returns an MCP HTTP endpoint URL that acts as a gateway to all your configured tools
LlamaIndex will connect to this endpoint to dynamically discover and use the available Tave tools.
The MCP tools are mapped to LlamaIndex-compatible tools and plug them into the Agent.

Create an interactive chat loop

async function chatLoop(agent: ReturnType<typeof createAgent>) {
  const rl = readline.createInterface({ input, output });

  console.log("Type 'quit' or 'exit' to stop.");

  while (true) {
    let userInput: string;

    try {
      userInput = (await rl.question("\nYou: ")).trim();
    } catch {
      console.log("\nAgent: Bye!");
      break;
    }

    if (!userInput) {
      continue;
    }

    const lower = userInput.toLowerCase();
    if (lower === "quit" || lower === "exit") {
      console.log("Agent: Bye!");
      break;
    }

    try {
      process.stdout.write("Agent: ");

      const stream = agent.runStream(userInput);
      let finalResult: any = null;

      for await (const event of stream) {
        // The event.data contains the streamed content
        const data: any = event.data;

        // Check for streaming delta content
        if (data?.delta) {
          process.stdout.write(data.delta);
        }

        // Store final result for fallback
        if (data?.result || data?.message) {
          finalResult = data;
        }
      }

      // If no streaming happened, show the final result
      if (finalResult) {
        const answer =
          finalResult.result ??
          finalResult.message?.content ??
          finalResult.message ??
          "";
        if (answer && typeof answer === "string" && !answer.includes("[object")) {
          process.stdout.write(answer);
        }
      }

      console.log(); // New line after streaming completes
    } catch (err: any) {
      console.error("\nAgent error:", err?.message ?? err);
    }
  }

  rl.close();
}

What's happening:

We're creating a direct terminal interface to chat with Tave
The LLM's responses are streamed to the CLI for faster interaction.
The agent uses context to maintain conversation history
The agent processes the request, selects appropriate Tave tools, and returns a result
We extract the answer from the result data structure and display it to the user
You can type 'quit' or 'exit' to stop the chat loop gracefully
Agent responses and any errors are streamed in a clear, readable format

Define the main entry point

async function main() {
  try {
    const agent = await buildAgent();
    await chatLoop(agent);
  } catch (err) {
    console.error("Failed to start agent:", err);
    process.exit(1);
  }
}

main();

What's happening here:

We're orchestrating the entire application flow
The agent gets built with proper error handling
Then we kick off the interactive chat loop so you can start talking to Tave

Run the agent

npx ts-node llamaindex-agent.ts

When prompted, authenticate and authorise your agent with Tave, then start asking questions.

Complete Code

Here's the complete code to get you started with Tave and LlamaIndex:

import "dotenv/config";
import readline from "node:readline/promises";
import { stdin as input, stdout as output } from "node:process";

import { Composio } from "@composio/core";
import { LlamaindexProvider } from "@composio/llamaindex";

import { mcp } from "@llamaindex/tools";
import { agent as createAgent } from "@llamaindex/workflow";
import { openai } from "@llamaindex/openai";

dotenv.config();

const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const COMPOSIO_API_KEY = process.env.COMPOSIO_API_KEY;
const COMPOSIO_USER_ID = process.env.COMPOSIO_USER_ID;

if (!OPENAI_API_KEY) {
    throw new Error("OPENAI_API_KEY is not set in the environment");
  }
if (!COMPOSIO_API_KEY) {
    throw new Error("COMPOSIO_API_KEY is not set in the environment");
  }
if (!COMPOSIO_USER_ID) {
    throw new Error("COMPOSIO_USER_ID is not set in the environment");
  }

async function buildAgent() {

  console.log(`Initializing Composio client...${COMPOSIO_USER_ID!}...`);
  console.log(`COMPOSIO_USER_ID: ${COMPOSIO_USER_ID!}...`);

  const composio = new Composio({
    apiKey: COMPOSIO_API_KEY,
    provider: new LlamaindexProvider(),
  });

  const session = await composio.create(
    COMPOSIO_USER_ID!,
    {
      toolkits: ["tave"],
    },
  );

  const mcpUrl = session.mcp.url;
  console.log(`Composio Tool Router MCP URL: ${mcpUrl}`);

  const server = mcp({
    url: mcpUrl,
    clientName: "composio_tool_router_with_llamaindex",
    requestInit: {
      headers: {
        "x-api-key": COMPOSIO_API_KEY!,
      },
    },
    // verbose: true,
  });

  const tools = await server.tools();

  const llm = openai({ apiKey: OPENAI_API_KEY, model: "gpt-5" });

  const agent = createAgent({
    name: "composio_tool_router_with_llamaindex",
    description:
      "An agent that uses Composio Tool Router MCP tools to perform actions.",
    systemPrompt:
      "You are a helpful assistant connected to Composio Tool Router."+
"Use the available tools to answer user queries and perform Tave actions." ,
    llm,
    tools,
  });

  return agent;
}

async function chatLoop(agent: ReturnType<typeof createAgent>) {
  const rl = readline.createInterface({ input, output });

  console.log("Type 'quit' or 'exit' to stop.");

  while (true) {
    let userInput: string;

    try {
      userInput = (await rl.question("\nYou: ")).trim();
    } catch {
      console.log("\nAgent: Bye!");
      break;
    }

    if (!userInput) {
      continue;
    }

    const lower = userInput.toLowerCase();
    if (lower === "quit" || lower === "exit") {
      console.log("Agent: Bye!");
      break;
    }

    try {
      process.stdout.write("Agent: ");

      const stream = agent.runStream(userInput);
      let finalResult: any = null;

      for await (const event of stream) {
        // The event.data contains the streamed content
        const data: any = event.data;

        // Check for streaming delta content
        if (data?.delta) {
          process.stdout.write(data.delta);
        }

        // Store final result for fallback
        if (data?.result || data?.message) {
          finalResult = data;
        }
      }

      // If no streaming happened, show the final result
      if (finalResult) {
        const answer =
          finalResult.result ??
          finalResult.message?.content ??
          finalResult.message ??
          "";
        if (answer && typeof answer === "string" && !answer.includes("[object")) {
          process.stdout.write(answer);
        }
      }

      console.log(); // New line after streaming completes
    } catch (err: any) {
      console.error("\nAgent error:", err?.message ?? err);
    }
  }

  rl.close();
}

async function main() {
  try {
    const agent = await buildAgent();
    await chatLoop(agent);
  } catch (err: any) {
    console.error("Failed to start agent:", err?.message ?? err);
    process.exit(1);
  }
}

main();

Conclusion

You've successfully connected Tave to LlamaIndex through Composio's Tool Router MCP layer. Key takeaways:

Tool Router dynamically exposes Tave tools through an MCP endpoint
LlamaIndex's ReActAgent handles reasoning and orchestration; Composio handles integrations
The agent becomes more capable without increasing prompt size
Async Python provides clean, efficient execution of agent workflows

You can easily extend this to other toolkits like Gmail, Notion, Stripe, GitHub, and more by adding them to the toolkits parameter.

TOOLS

Supported Tools

Every Tave action and event your agent gets out of the box.

Apply Payment to Order

Tool to apply a payment to a specific order in Tave.

Create Brand

Tool to create a new brand in VSCO Workspace.

Create Custom Field

Tool to create a custom field in Tave for Jobs or Contacts.

Create Discount Type

Tool to create a new discount type in Tave.

Create Gallery

Tool to create a new gallery in Tave (VSCO Workspace).

Create Address Book Entry

Tool to create an entry in the address book.

Create Discount

Tool to create a discount in Tave.

Create Event

Tool to create a new event in Tave (VSCO Workspace).

Create Event Type

Tool to create a new event type in Tave.

Create File

Tool to create a file in Tave.

Create Job

Tool to create a new job in Tave (VSCO Workspace).

Create Job Closed Reason

Tool to create a job closed reason in Tave.

Create Job Contact

Tool to create a job contact in Tave.

Create Job Order

Tool to create an order on a job in Tave (VSCO Workspace).

Create Job Role

Tool to create a job role in Tave (VSCO Workspace).

Create Job Type

Tool to create a new job type in Tave.

Create Job Worksheet

Tool to create a job using a worksheet in Tave (VSCO Workspace).

Create Lead Source

Tool to create a lead source in Tave.

Create Lead Status

Tool to create a lead status in Tave.

Create Note

Tool to create a note in Tave (VSCO Workspace).

Create Payment

Tool to create a payment in Tave.

Create Product

Tool to create a product in Tave.

Create Product Type

Tool to create a product type in Tave.

Create Profit Center

Tool to create a profit center in Tave.

Create RestHook Subscription

Tool to create a RestHook webhook subscription in Tave.

Create Tax Rate

Tool to create a tax rate in Tave.

Create User

Tool to create a new user in Tave.

Delete Address Book Entry

Tool to delete an entry in the address book.

Delete Brand

Tool to delete a brand by its ULID.

Delete Custom Field

Tool to delete a custom field by its ULID identifier.

Delete Event Type

Tool to delete an event type by its ULID identifier.

Delete Gallery

Tool to permanently delete a gallery by its ULID.

Delete Discount

Tool to delete a specific discount by its ULID.

Delete Discount Type

Tool to delete a specific discount type by its ULID.

Delete Event

Tool to delete an event by its ULID identifier.

Delete Job

Tool to delete a job by its ULID identifier.

Delete Job Closed Reason

Tool to delete a job closed reason by its ULID identifier.

Delete Job Contact

Tool to delete a job contact by its ULID.

Delete Job Role

Tool to delete a job role by its ULID identifier.

Delete Job Type

Tool to delete a job type by its ULID.

Delete Lead Source

Tool to delete a specific lead source by its ULID.

Delete Lead Status

Tool to delete a specific lead status by its ULID.

Delete Note

Tool to delete a note by its ULID identifier.

Delete Payment

Tool to delete a specific payment by its ULID.

Delete Product

Tool to delete a specific product by its ULID.

Delete Product Type

Tool to delete a specific product type by its ULID.

Delete Profit Center

Tool to delete a profit center by its ULID.

Delete RestHook

Tool to unsubscribe from and delete a RestHook webhook subscription by its ULID.

Delete Tax Group

Tool to delete a specific tax group by its ULID.

Delete Tax Rate

Tool to delete a specific tax rate by its ULID.

Delete User

Tool to delete a user by its ULID.

Get Brand

Tool to retrieve a specific brand from Tave by its ULID.

Get Event

Tool to get a specific event by its ID.

Get Event Type

Tool to retrieve a specific event type by ID.

Get Gallery

Tool to retrieve a specific gallery by ID from Tave/VSCO Workspace.

Get Address Book Entity

Tool to fetch a specific Address Book entity by its ULID.

Get Address Book Address

Tool to fetch the address associated with a given location ID.

Get Custom Field

Tool to fetch a specific custom field by ID from Tave.

Get Discount

Tool to retrieve a specific discount by its ID.

Get Discount Type

Tool to get a specific discount type by ID.

Get Job

Tool to fetch a specific job by ID from Tave.

Get Job Closed Reason

Tool to retrieve a specific job closed reason by its ID.

Get Job Contact

Tool to fetch a specific job contact by ID from Tave.

Get Job Role

Tool to retrieve a specific job role by its ID.

Get Job Type

Tool to retrieve a specific job type by ID.

Get Job Worksheet

Tool to fetch a Job Worksheet for a specific job by job ID.

Get Lead Source

Tool to retrieve a specific lead source by its ID.

Get Lead Status

Tool to retrieve a specific lead status by its ID.

Get My Studio

Tool to retrieve information about your studio from Tave.

Get Note

Tool to fetch a specific note by ID from Tave.

Get Order

Tool to fetch a specific order by ID from Tave.

Get Payment

Tool to fetch a specific payment by ID from Tave.

Get Payment Method

Tool to retrieve a specific payment method by its ID.

Get Product

Tool to retrieve a specific product by its ID.

Get Product Type

Tool to retrieve a specific product type by its ID.

Get Profit Center

Tool to retrieve a specific profit center by its ID.

Get Tax Rate

Tool to retrieve a specific tax rate by its ULID.

Get Timezone

Tool to retrieve a specific timezone by its ULID from Tave.

Get User by ID

Tool to retrieve a specific user by their ULID identifier.

List Address Book Contacts

Tool to list contacts in the studio's address book.

List Brands

Tool to list brands of a studio.

List Discount Types

Tool to get a list of discount types from Tave.

List Studio Events

Tool to list a studio's events from Tave.

List Event Types

Tool to list a studio's event types.

List Files

Tool to list files in Tave.

List Resource Custom Fields

Tool to list custom fields configured on a studio.

List Resource Discount

Tool to get a list of discounts from Tave.

List Galleries

Tool to list all galleries for a studio.

List Resource Job

Tool to list jobs of a studio.

List Job Closed Reasons

Tool to list a studio's job closed reasons.

List Resource Job Contact

Tool to list a job's contacts.

List Resource Job Orders

Tool to list orders on a given job.

List Job Payments

Tool to get a list of payments for a specific job.

List Job Roles

Tool to list a studio's job roles.

List Resource Job Type

Tool to list job types of a studio.

List Resource Lead Source

Tool to list lead sources of a studio.

List Resource Lead Status

Tool to list lead statuses of a studio.

List Resource Note

Tool to list notes from Tave.

List Resource Order

Tool to get a list of all orders.

List Resource Payment

Tool to get a list of payments from Tave.

List Resource Payment Method

Tool to get a list of payment methods from Tave.

List Resource Product

Tool to get a list of products from Tave.

List Product Types

Tool to get a list of product types from Tave.

List Resource Profit Center

Tool to list profit centers of a studio.

List REST Hooks

Tool to list REST hooks configured in Tave.

List Resource Tax Groups

Tool to get a list of Tax Groups from Tave.

List Resource Tax Rates

Tool to get a list of tax rates from Tave.

List Resource Timezone

Tool to get a list of timezones from Tave.

List Resource User

Tool to list users of a studio.

Update Address Book Entry

Tool to update a specific entry in the Tave address book.

Update Brand

Tool to update a specific brand in Tave.

Update Event Type

Tool to update an existing event type in Tave.

Update Custom Field

Tool to update a specific custom field in Tave.

Update Event

Tool to update a specific event in Tave.

Update Gallery

Tool to update a specific gallery in Tave (VSCO Workspace).

Update Job

Tool to update a specific job in Tave (VSCO Workspace).

Update Job Closed Reason

Tool to update a job closed reason in Tave.

Update Job Contact

Tool to update a specific job contact in Tave.

Update Job Role

Tool to update a job role in Tave.

Update Job Type

Tool to update an existing job type in Tave.

Update Lead Source

Tool to update a specific lead source in Tave.

Update Lead Status

Tool to update a specific lead status in Tave.

Update Note

Tool to update a specific note in Tave.

Update Order

Tool to update a specific order in Tave (VSCO Workspace).

Update Profit Center

Tool to update a specific profit center in Tave.

Update Tax Group

Tool to update a specific tax group in Tave.

Update Tax Rate

Tool to update a specific tax rate in Tave.

Update User

Tool to update a specific user in Tave.

Update Studio Readonly Mode

Tool to set studio readonly mode in Tave.

FRAMEWORKS

How to build Tave MCP Agent with another framework

OpenAI Agents SDK

Use Tave MCP with OpenAI Agents SDK

Claude Agent SDK

Use Tave MCP with Claude Agent SDK

Claude Code

Use Tave MCP with Claude Code

Claude Cowork

Use Tave MCP with Claude Cowork

Codex

Use Tave MCP with Codex

OpenClaw

Use Tave MCP with OpenClaw

Hermes

Use Tave MCP with Hermes

CLI

Use Tave MCP with CLI

Google ADK

Use Tave MCP with Google ADK

LangChain

Use Tave MCP with LangChain

Vercel AI SDK

Use Tave MCP with Vercel AI SDK

Mastra AI

Use Tave MCP with Mastra AI

CrewAI

Use Tave MCP with CrewAI

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Google Sheets

Oauth2

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.

Notion

Oauth2Api Key

Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place.

Airtable

Oauth2Api Key

Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations.

Asana

Oauth2

Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals.

FAQ

Frequently asked questions

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

Yes, you can. LlamaIndex 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 Tave tools.

Yes, absolutely. You can configure which Tave 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.

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 Tave data and credentials are handled as safely as possible.

Start with Tave.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Tave tool your agent needs.Free to start.

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Customer stories

Teams ship real agents on Composio

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

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Co-founder, Slashy

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's immensely helped keep new users on the platform.

Abhi Arya

Co-founder, Opennote

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

Nirman Dave

CEO, Zams

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

Ryan Yu

Founder, Extra Thursday

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

Tomisin Jenrola

Founder & CEO, SwarmZero

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.

Jerome Leclanche

Co-Founder, Ingram Technologies