How to integrate Synthflow ai MCP with LlamaIndex

This guide walks you through connecting Synthflow ai to LlamaIndex using the Composio tool router. By the end, you'll have a working Synthflow ai agent that can create a new ai assistant for customer support, list all current voice assistants in your account, fetch details for team 'sales outreach' through natural language commands. This guide will help you understand how to give your LlamaIndex agent real control over a Synthflow ai account through Composio's Synthflow ai MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Synthflow ai

Api Key

Synthflow ai is an AI-powered voice automation platform for inbound and outbound customer calls. It boosts engagement and streamlines operational efficiency with conversational voice agents.

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Introduction

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

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

Also integrate Synthflow ai 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 Synthflow ai
Connect LlamaIndex to the Synthflow ai MCP server
Build a Synthflow ai-powered agent using LlamaIndex
Interact with Synthflow ai 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 Synthflow ai MCP server, and what's possible with it?

The Synthflow ai MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Synthflow ai account. It provides structured and secure access to your voice automation tools, so your agent can perform actions like managing voice assistants, handling teams, retrieving phone numbers, and automating call center operations on your behalf.

AI assistant management: Create, list, update, or delete AI-powered voice assistants to tailor customer interactions and automate call flows as needed.
Team creation and configuration: Set up new teams, modify existing ones, or remove teams to optimize your call center's routing and operational structure.
Knowledge base integration: Retrieve and manage knowledge base details to ensure your assistants have accurate, up-to-date information for conversations.
Phone number administration: Fetch and organize phone numbers linked to your workspace, making it easy to assign or reassign numbers for inbound and outbound campaigns.
Comprehensive assistant and team insights: Access detailed metadata and configuration for both assistants and teams, streamlining oversight and decision-making for your AI-powered operations.

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 Synthflow ai account and project
Basic familiarity with async Python/Typescript

Getting API Keys for OpenAI, Composio, and Synthflow ai

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 Synthflow ai 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 synthflow ai_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: ["synthflow_ai"],
    },
  );

  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 Synthflow ai 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, synthflow ai)
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 Synthflow ai 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 Synthflow ai
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 Synthflow ai 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 Synthflow ai

Run the agent

npx ts-node llamaindex-agent.ts

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

Complete Code

Here's the complete code to get you started with Synthflow ai 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: ["synthflow_ai"],
    },
  );

  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 Synthflow ai 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 Synthflow ai to LlamaIndex through Composio's Tool Router MCP layer. Key takeaways:

Tool Router dynamically exposes Synthflow ai 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 Synthflow ai action and event your agent gets out of the box.

Add document to knowledge base source

Tool to add a document to a knowledge base source.

Attach Actions to Agent

Tool to attach one or more actions to an agent.

Attach contact to memory store

Tool to attach a contact to a memory store.

Attach knowledge base to agent

Tool to attach a knowledge base to an agent.

Attach memory store to agent

Tool to attach a memory store to an agent.

Create Action

Tool to create a new action in Synthflow AI.

Create Assistant

Tool to create a new assistant.

Create a contact

Tool to create a new contact in Synthflow AI.

Create knowledge base

Tool to create a new knowledge base and return its ID.

Create memory store

Tool to create a new memory store.

Create Phone Book

Tool to create a new phone book.

Create phone book entry

Tool to create a phone book entry.

Create Simulation Case

Tool to create a new simulation case.

Create a simulation scenario

Tool to create a new simulation scenario.

Create a new simulation suite

Tool to create a new simulation suite attached to a specific agent.

Create a new team

Tool to create a new team.

Delete an action

Tool to delete an existing action.

Delete an assistant

Tool to delete an existing AI assistant.

Delete a chat session

Tool to delete a chat session.

Delete a contact

Tool to delete an existing contact.

Delete knowledge base

Tool to delete an existing knowledge base.

Delete a knowledge base source

Tool to delete a source from a knowledge base.

Delete a memory store

Tool to delete a memory store.

Delete a phone book

Tool to delete an existing phone book.

Delete a phone book entry

Tool to delete a phone book entry.

Delete a simulation case

Tool to delete a simulation case by ID.

Delete a simulation scenario

Tool to delete an existing simulation scenario.

Delete a simulation suite

Tool to delete a simulation suite by ID.

Delete a subaccount

Tool to delete an existing subaccount.

Delete a team

Tool to delete an existing team.

Detach actions from assistant

Tool to detach one or more actions from an AI assistant.

Detach knowledge base

Tool to detach a knowledge base from an AI assistant.

Detach contact from memory store

Tool to detach a contact from a memory store.

Detach memory store from agent

Tool to detach a memory store from an agent.

Execute simulation suite

Tool to execute all test cases in a simulation suite.

Export analytics data

Tool to export analytics data for calls within a specified date range.

Get action metadata

Tool to retrieve metadata about a specific action by its ID.

Get AI assistant details

Tool to retrieve details of a specific AI assistant.

Get phone call details

Tool to retrieve the transcript and detailed metadata for a specific phone call.

Get contact details

Tool to retrieve details of a specific contact by its ID.

Get knowledge base

Tool to retrieve details of a specific knowledge base by its ID.

Get memory store

Tool to retrieve details of a specific memory store by its ID.

Get memory store contact data

Tool to retrieve memory data for a specific contact in a memory store.

Get phone numbers

Tool to retrieve a list of phone numbers associated with a workspace.

Get simulation details

Tool to retrieve details of a specific simulation by ID.

Get Simulation Case

Tool to retrieve a simulation case by ID.

Get simulation scenario

Tool to retrieve a simulation scenario by ID.

Get simulation suite by ID

Tool to retrieve a simulation suite by ID.

Get subaccount details

Tool to retrieve detailed metadata about a specific subaccount by ID.

Get team details

Tool to retrieve details of a specific team by its ID.

Initialize Action

Tool to initialize a custom action with specified variables.

List actions

Tool to list all actions in the workspace.

List AI assistants

Tool to list all AI assistants associated with the account.

List call history

Tool to retrieve call history (call logs) with filtering to check outcomes/statuses after placing calls.

List chats

Tool to retrieve a list of chats, optionally filtered by agent ID.

List contacts

Tool to retrieve a list of contacts with optional search filtering.

List memory stores

Tool to list memory stores with optional filtering by title.

List Phone Books

Tool to list all phone books in your workspace.

List Simulation Cases

Tool to list simulation cases with pagination and optional filtering by name or type.

List simulation cases by agent

Tool to list all simulation cases created for a specific agent.

List simulations

Tool to list simulations with pagination and optional filters.

List simulation scenarios

Tool to list simulation scenarios with pagination and optional filtering.

List simulation sessions

Tool to list simulation sessions with pagination and optional filters.

List simulation suites

Tool to list simulation suites with pagination and optional filtering.

List subaccounts

Tool to list all subaccounts associated with the authenticated account.

List teams

Tool to list assistant teams.

List voices

Tool to list all text-to-speech voices in a workspace.

List webhook logs

Tool to retrieve paginated webhook logs with filtering and search capability.

Make a voice call

Tool to initiate a real-time voice call via the AI agent.

Start Simulation

Tool to start a new simulation using a simulation case.

Update Action

Tool to update an existing action in Synthflow AI.

Update Assistant

Tool to update an existing assistant’s settings.

Update a contact

Tool to update an existing contact in Synthflow AI.

Update knowledge base

Tool to update an existing knowledge base's name or usage conditions.

Update memory store

Tool to update an existing memory store's title and description.

Update Simulation Case

Tool to update an existing simulation case.

Update a simulation scenario

Tool to update an existing simulation scenario.

Update an existing simulation suite

Tool to update an existing simulation suite.

Update an existing team

Tool to update an existing team.

FRAMEWORKS

How to build Synthflow ai MCP Agent with another framework

OpenAI Agents SDK

Use Synthflow ai MCP with OpenAI Agents SDK

Claude Agent SDK

Use Synthflow ai MCP with Claude Agent SDK

Claude Code

Use Synthflow ai MCP with Claude Code

Claude Cowork

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Codex

Use Synthflow ai MCP with Codex

OpenClaw

Use Synthflow ai MCP with OpenClaw

Hermes

Use Synthflow ai MCP with Hermes

CLI

Use Synthflow ai MCP with CLI

Google ADK

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LangChain

Use Synthflow ai MCP with LangChain

Vercel AI SDK

Use Synthflow ai MCP with Vercel AI SDK

Mastra AI

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CrewAI

Use Synthflow ai MCP with CrewAI

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Aeroleads

Api Key

Aeroleads is a B2B lead generation platform for finding business emails and phone numbers. Grow your sales pipeline faster with powerful prospecting tools.

Autobound

Api Key

Autobound is an AI-powered sales engagement platform that crafts hyper-personalized outreach and insights. It helps sales teams boost response rates and close more deals through tailored content and recommendations.

Better proposals

Api Key

Better Proposals is a web-based tool for crafting and sending professional proposals. It helps teams impress clients and close deals faster with slick, easy-to-use templates.

Bidsketch

Api Key

Bidsketch is a proposal software that helps businesses create professional proposals quickly and efficiently. It streamlines the proposal process, saving time while boosting client win rates.

FAQ

Frequently asked questions

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

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

Start with Synthflow ai.It takes 30 seconds.

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

Start building

Customer stories

Teams ship real agents on Composio

GET STARTED FOR FREE BOOK A DEMO

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.

Harsha Gaddipati

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

How to integrate Synthflow ai MCP with LlamaIndex

Connect Synthflow ai without auth hassles

Introduction

Also integrate Synthflow ai with

TL;DR

What is LlamaIndex?

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

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, Composio, and Synthflow ai

Installing dependencies

Set environment variables

Import modules

Load environment variables and initialize Composio

Create a Tool Router session and build the agent function

Create an interactive chat loop

Define the main entry point

Run the agent

Complete Code

Conclusion

Supported Tools

How to build Synthflow ai MCP Agent with another framework

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

CrewAI

Explore Other Toolkits

Aeroleads

Autobound

Better proposals

Bidsketch

Frequently asked questions

What are the differences in Tool Router MCP and Synthflow ai MCP?+

Can I use Tool Router MCP with LlamaIndex?+

Can I manage the permissions and scopes for Synthflow ai while using Tool Router?+

How safe is my data with Composio Tool Router?+

Start with Synthflow ai.It takes 30 seconds.

Teams ship real agents on Composio