Gan ai MCP server for AI agents and assistants

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Gan ai MCP or direct API to generate lifelike speech, perform voice cloning, personalize video, and synthesize audio from text through natural language.

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Api Key

Gan.AI offers APIs for text-to-speech, voice cloning, and video personalization. Bring natural, expressive speech and custom video to your apps with one integration.

8 Tools

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TOOLS

Supported Tools

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

Get Avatar Video Inference Details

Retrieve status and metadata for an avatar video inference by its inference UUID, including the generated video URL when available.

Get Photo Avatar Details

Retrieve details for a photo avatar by ID, including its processing status, metadata, and image URL when available.

Get photo avatar inference details

Retrieve details for a photo avatar inference by its inference UUID.

List avatar video inferences

List avatar video inferences, with optional filters for avatar ID, avatar or video title, status, and creation date range.

List photo avatar inferences

List photo avatar inferences using a GanOS API key, with optional filters by avatar, title, status, and creation date range.

List Photo Avatars

List avatars using a GanOS API key, with optional filters by title, status, and creation date range.

Login

Tool to authenticate a user and retrieve access and refresh tokens.

GAN AI Text-to-Speech

Convert text to speech using GAN.

SETUP GUIDE

Connect Gan ai MCP Tool with your Agent

1

Install Composio

typescript
npm install @composio/core ai @ai-sdk/mcp @ai-sdk/openai
Install the Composio SDK and your agent framework
2

Create a session with MCP enabled

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

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["gan_ai"],
  mcp: true,
});
Create a session scoped to Gan ai and read its MCP URL and headers
3

Connect your agent to the MCP server

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "Generate a personalized video greeting with my voice clone",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
Pass the session's MCP URL and headers to your agent and run a Gan ai request
SETUP GUIDE

Connect Gan ai API Tool with your Agent

1

Install Composio

typescript
npm install @composio/core @composio/openai openai
Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
2

Create a Composio session

typescript
import OpenAI from "openai";
import { Composio } from "@composio/core";
import { OpenAIResponsesProvider } from "@composio/openai";

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["gan_ai"] });
const tools = await session.tools();
Initialize Composio with the OpenAI Responses provider and create a session scoped to Gan ai
3

Run Gan ai tools with your agent

typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "Generate a personalized video greeting with my voice clone" }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
Send a request, execute the Gan ai tool calls through the session, and print the final answer

Why Use Composio?

AI Native Gan ai Integration

  • Supports both Gan ai MCP and direct API based integrations
  • Structured, LLM-friendly schemas for reliable tool execution
  • Rich coverage for reading, writing, and querying your Gan ai data

Managed Auth

  • Built-in API key handling with secure storage
  • Central place to manage, scope, and revoke Gan ai access
  • Per user and per environment credentials instead of hard-coded keys

Agent Optimized Design

  • Tools are tuned using real error and success rates to improve reliability over time
  • Comprehensive execution logs so you always know what ran, when, and on whose behalf

Enterprise Grade Security

  • Fine-grained RBAC so you control which agents and users can access Gan ai
  • Scoped, least privilege access to Gan ai resources
  • Full audit trail of agent actions to support review and compliance

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