LLMWhisperer MCP for AI Agents

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with LLMWhisperer MCP or direct API to extract structured data, summarize complex documents, classify content, and label information through natural language.

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Api Key

LLMWhisperer makes complex document data accessible to language models. It helps LLMs accurately interpret and process structured information.

10 Tools

Try LLMWhisperer now

Type what you want done — sign in and watch it run live in the Tool Router playground.

TOOL ROUTER PLAYGROUND
LLMWhisperer
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TOOLS

Supported Tools

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

Get Usage Information

Tool to check usage metrics of your LLMWhisperer account.

Get Usage Statistics

Tool to retrieve usage statistics for your LLMWhisperer account based on a specific tag.

Delete Webhook

Tool to delete a registered webhook from LLMWhisperer system.

Get Webhook Details

Tool to retrieve registered webhook details for LLMWhisperer.

Register Webhook

Tool to register a new webhook endpoint for LLMWhisperer async notifications.

Update Webhook Configuration

Tool to update an existing webhook configuration for document conversion callbacks.

Check Whisper Status

Tool to check the status of a text extraction process in LLMWhisperer.

Convert Document to Text

Tool to convert PDFs and scanned documents into LLM-optimized text format asynchronously.

Get Whisper Detail

Tool to retrieve comprehensive details about ongoing or completed text extraction process.

Retrieve Whisper Text

Tool to retrieve extracted text from asynchronous whisper processing.

SETUP GUIDE

Connect LLMWhisperer MCP Tool with your Agent

1

Install Composio

typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
Install the Composio SDK for Python or TypeScript
2

Initialize Client and Create Tool Router Session

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

const composio = new Composio({ apiKey: 'your-api-key' });
const session = await composio.create('your-user-id');
console.log(`Tool Router session created: ${session.mcp.url}`);
Import and initialize the Composio client, then create a Tool Router session for LLMWhisperer
3

Connect to AI Agent

typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: session.mcp.url,
    headers: {
      'x-api-key': 'your-composio-api-key',
    },
  },
});

const tools = await client.tools();
const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{
    role: 'user',
    content: 'Summarize all compliance sections in the uploaded financial report.'
  }],
  maxSteps: 5,
});

console.log(`Agent: ${text}`);
Use the MCP server with your AI agent (Anthropic Claude or Mastra)
SETUP GUIDE

Connect LLMWhisperer API Tool with your Agent

1

Install Composio

typescript
npm install @composio/openai
Install the Composio SDK
2

Initialize Composio and Create Tool Router Session

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

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
Import and initialize Composio client, then create a Tool Router session
3

Execute LLMWhisperer Tools via Tool Router with Your Agent

typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'Extract key facts from the attached contract document.'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
Get tools from Tool Router session and execute LLMWhisperer actions with your Agent

Why Use Composio?

AI Native LLMWhisperer Integration

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

Managed Auth

  • Built-in OAuth handling with automatic token refresh and rotation
  • Central place to manage, scope, and revoke LLMWhisperer 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 LLMWhisperer
  • Scoped, least privilege access to LLMWhisperer resources
  • Full audit trail of agent actions to support review and compliance
FAQ

Frequently asked questions

Yes, LLMWhisperer requires you to configure your own API key credentials. Once set up, Composio handles secure credential storage and API request handling for you.

Yes! Composio's Tool Router enables agents to use multiple toolkits. Learn more.

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. Learn more.

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

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

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