# LLMWhisperer — MCP server on mcp.ai
> Connect your LLMWhisperer account and use 11 tools for document data extraction straight from your AI agent. Connect with your own API key. LLMWhisperer is a technology that presents data from complex documents to LLMs in a way that they can best understand.

By: mcp.ai · official
Page: https://mcp.ai/llmwhisperer

## Connect (MCP protocol)
Remote MCP endpoint (HTTP, streamable): https://api.mcp.ai/p_llmwhisperer?ms=1787291400000
Add it as a custom/remote MCP connector, then authenticate when prompted.

## REST API (no MCP client required)
Every tool is also a REST endpoint, authed with a workspace API key.
Discover: GET https://api.mcp.ai/api/llmwhisperer/_endpoints   # public; lists every endpoint
Call:     POST https://api.mcp.ai/api/llmwhisperer/<endpoint>
  Authorization: Bearer sk_live_…   # create one at https://mcp.ai/settings/api-keys
  Content-Type: application/json
  Body: { …args }   →   { "ok": true, "tool": "<id>", "result": { … } }

## Developer docs
How to use (MCP or REST), markdown: https://mcp.ai/llmwhisperer/skill.md
Postman collection (v2.1): https://mcp.ai/llmwhisperer/postman.json

## Tools
- llmwhisperer_convert_document_to_text_v2(tag?: string, url?: string, file?: object, lang?: string, mode?: string, filename?: string, output_mode?: string, url_in_post?: boolean, use_webhook?: string, add_line_nos?: boolean, page_seperator?: string, pages_to_extract?: string, webhook_metadata?: string, median_filter_size?: integer, mark_vertical_lines?: boolean, gaussian_blur_radius?: integer, mark_horizontal_lines?: boolean, line_splitter_strategy?: string, include_line_confidence?: boolean, line_splitter_tolerance?: number, horizontal_stretch_factor?: number) — Tool to convert PDF/scanned documents to text format for LLM consumption. Supports file upload or URL processing with multiple modes (native_text, low_cost, high_quality, form, table). Use when you ne
- llmwhisperer_get_highlights(lines?: string, whisper_hash: string, extract_all_lines?: boolean) — Tool to get line metadata for highlighting extracted text in the original document. Returns bounding box coordinates (x, y, width, height) and page number for each line. Use when you need to create te
- llmwhisperer_register_webhook(url: string, auth_token?: string, webhook_name: string) — 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. The webhook URL is validated during registration
- llmwhisperer_usage_get_info() — Tool to check usage metrics of your LLMWhisperer account. Use when you need to monitor API consumption, verify quotas, or check remaining page limits.
- llmwhisperer_usage_get_stats(tag: string, to_date?: string, from_date?: string) — 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 
- llmwhisperer_webhook_delete(webhook_name: string) — Tool to delete a registered webhook from LLMWhisperer system. Use when you need to remove a webhook that is no longer needed.
- llmwhisperer_webhook_get_details(webhook_name: string) — 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.
- llmwhisperer_webhook_update(url: string, auth_token?: string, webhook_name: string) — 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 
- llmwhisperer_whisper_check_status(whisper_hash: string) — 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.
- llmwhisperer_whisper_get_detail(whisper_hash: string) — 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.
- llmwhisperer_whisper_retrieve_text(text_only?: boolean, whisper_hash: string) — 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

## Example prompts
- "What can I do in LLMWhisperer?"
- "Show me a summary of my LLMWhisperer account"

## Links
Docs: https://mcp.ai/docs/mcps/llmwhisperer
Website: https://mcp.ai/mcps/llmwhisperer