LLMWhisperer AI Agent
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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LLMWhisperer makes complex document data accessible to language models. It helps LLMs accurately interpret and process structured information.
▪ Tools & Triggers
Supported Tools and Triggers
Every LLMWhisperer action and event your agent gets out of the box.
Get Usage Information
Tool to check usage metrics of your LLMWhisperer account. Use when you need to monitor API consumption, verify quotas, or check remaining page limits.
Get Usage Statistics
Tool to retrieve usage statistics for your LLMWhisperer account based on a specific tag. Use when you need to check consumption metrics for a given tag and optional date range. Returns usage data for the preceding 30 days when date parameters are omitted.
Delete Webhook
Tool to delete a registered webhook from LLMWhisperer system. Use when you need to remove a webhook that is no longer needed.
Get Webhook Details
Tool to retrieve registered webhook details for LLMWhisperer. Use when you need to get the configuration of a specific webhook including its URL and authentication token.
Register Webhook
Tool to register a new webhook endpoint for LLMWhisperer async notifications. Use when you need to set up a callback URL to receive processing results. During registration, a test payload is sent to verify the webhook endpoint is functioning and returns HTTP 200.
Update Webhook Configuration
Tool to update an existing webhook configuration for document conversion callbacks. Use when you need to modify the callback URL, authentication token, or webhook identifier. The system validates the webhook by sending a test payload and requires a 200 status response.
Check Whisper Status
Tool to check the status of a text extraction process in LLMWhisperer. Use when the conversion is done in async mode to poll for completion status.
Convert Document to Text
Tool to convert PDFs and scanned documents into LLM-optimized text format asynchronously. Use when you need to extract text from documents for LLM processing. After submission, use the returned whisper_hash to poll status and retrieve converted text. Either document_url (with url_in_post=true) or document_content must be provided.
Get Whisper Detail
Tool to retrieve comprehensive details about ongoing or completed text extraction process. Use when you need to monitor the status and progress metrics of a text extraction job.
Retrieve Whisper Text
Tool to retrieve extracted text from asynchronous whisper processing. Use when the conversion process was initiated in async mode and you need to retrieve the results using the whisper_hash identifier. Note that retrieval is single-use for security - once retrieved, the same whisper_hash cannot be used again.
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