LLMWhisperer MCP integration
Submits documents for conversion, tracks the job by its whisper hash, retrieves the extracted text, and manages the callback webhooks.
10actions available
Three actions you can hand over today
Every action runs live through MCP. Nothing to build, nothing to maintain.
Convert document to text
Lyro converts PDFs and scanned documents into searchable text. Your team processes customer documents instantly instead of manually copying information.
Check whisper status
Lyro monitors document conversion progress. Your team knows when text extraction is ready without polling or guessing.
Get whisper detail
Lyro retrieves detailed info about document conversion results. Your team troubleshoots extraction issues with full logging data.
How businesses use LLMWhisperer + Lyro
Each card is one request a support team gets, and the LLMWhisperer actions Lyro runs to close it.
Turn a scanned PDF into LLM-ready text
Lyro submits a document URL or its content for asynchronous conversion, polls the whisper hash it gets back until processing completes, then retrieves the extracted text in one pass.
Convert Document to TextCheck Whisper StatusRetrieve Whisper TextWatch a long conversion while it runs
Lyro pulls the detail on an ongoing or completed extraction, including its progress metrics, so a heavy document is not a black box between submission and result.
Get Whisper DetailCheck Whisper StatusTake the result on a callback instead of polling
Lyro registers a callback URL for async notifications, reads back the stored URL and authentication token, and updates either one when the endpoint moves or the token is rotated.
Register WebhookGet Webhook DetailsUpdate Webhook ConfigurationKeep quota and old callbacks under control
Lyro reports API consumption and remaining page limits, breaks usage down by tag over a date range, and removes a webhook that no longer points anywhere useful.
Get Usage InformationGet Usage StatisticsDelete Webhook
How it works
Get started in 3 steps
Connect once, then just ask. There is no workflow builder to learn and nothing to maintain — Lyro reads the LLMWhisperer actions it has and picks the ones a request needs.
Connect LLMWhisperer
Authorize the LLMWhisperer account your team already uses — one consent screen, no API keys, no mapping tables. Lyro can only do what you granted that account, and you can disconnect it at any time.
Tell your agent what you need
Describe the job the way you would hand it to a teammate. Lyro maps it to the LLMWhisperer actions that close it and chains as many as the request needs.
Watch it work
The agent runs the actions inside the conversation the customer is already in, so nobody copies data between tabs and your team can take over at any point.
Get started free
LLMWhisperer · Lyro
What can you do in LLMWhisperer without me setting anything up?
These, right away:
- Get usage information
- Delete webhook
- Get usage statistics
Great, let's start with the first one.
FAQ
Everything else about LLMWhisperer
Setup, permissions, and the limits of what Lyro can do inside LLMWhisperer.
No. Retrieve Whisper Text is single-use for security: once the text has been pulled for a whisper_hash, that hash cannot be used again. Lyro passes the result where it is needed on the first retrieval rather than treating the hash as a durable link.
Every action available in LLMWhisperer
All 10 actions your agent can call on LLMWhisperer, straight from the live MCP connection.
Get usage information
Check usage metrics of your LLMWhisperer account.
Get usage statistics
Retrieve usage statistics for your LLMWhisperer account based on a specific tag.
Delete webhook
Delete a registered webhook from LLMWhisperer system.
Get webhook details
Retrieve registered webhook details for LLMWhisperer.
Register webhook
Register a new webhook endpoint for LLMWhisperer async notifications.
Update webhook configuration
Update an existing webhook configuration for document conversion callbacks.
Check whisper status
Check the status of a text extraction process in LLMWhisperer.
Convert document to text
Convert PDFs and scanned documents into LLM-optimized text format asynchronously.
Get whisper detail
Retrieve comprehensive details about ongoing or completed text extraction process.
Retrieve whisper text
Retrieve extracted text from asynchronous whisper processing.
The tools LLMWhisperer sits next to
Same connection, same setup. Pick the next one your team already uses.
Apipie.ai
Compares model pricing and limits, parses documents, transcribes audio, redacts personal data, and reports what past calls cost.
Deepgram
Transcribes recorded audio into text, speaks answers back through text-to-speech, and reports project usage so spend stays visible.
Heygen
Renders videos from saved templates, tracks render status and remaining credits, files assets into folders, and drives live streaming avatars.
Modelry
Lists 3D and AR embeds, orders modeling jobs, and reports completion percentage on the ones already in progress.
Rosette text analytics
Detects the language an incoming message is written in and scores how closely two names or two addresses match before anything is acted on.
Vapi
Opens calls with their cost and duration, changes assistant voice and model settings, provisions phone numbers, and runs call analytics.
Ready to connect LLMWhisperer?
Authorize the account and your agent has all 10 actions from the first conversation.