find_table
Locate tables within PDF pages and return their bounding box coordinates.
Instructions
Find tables in PDF and get their coordinates.
Ref: https://developer.pdf.co/api-reference/pdf-find/table.md
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | URL to the source PDF file. Supports publicly accessible links including Google Drive, Dropbox, PDF.co Built-In Files Storage. Use 'upload_file' tool to upload local files. | |
| httpusername | No | HTTP auth user name if required to access source url. (Optional) | |
| httppassword | No | HTTP auth password if required to access source url. (Optional) | |
| pages | No | Comma-separated list of page indices (or ranges) to process. Leave empty for all pages. Example: '0,2-5,7-'. The first-page index is 0. (Optional) | |
| password | No | Password of the PDF file. (Optional) | |
| api_key | No | PDF.co API key. If not provided, will use X_API_KEY environment variable. (Optional) |
Implementation Reference
- pdfco/mcp/services/pdf.py:79-82 (helper)Service-level helper that makes the actual API call to the "pdf/find/table" endpoint via the shared request() function.
async def find_table_in_pdf( params: ConversionParams, api_key: str | None = None ) -> BaseResponse: return await request("pdf/find/table", params, api_key=api_key) - pdfco/mcp/services/pdf.py:125-153 (helper)Generic HTTP helper that builds the payload, calls the PDF.co API via PDFCoClient, and returns a BaseResponse with job status info.
async def request( endpoint: str, params: ConversionParams, custom_payload: dict | None = None, api_key: str | None = None, ) -> BaseResponse: payload = params.parse_payload(async_mode=True) if custom_payload: payload.update(custom_payload) try: async with PDFCoClient(api_key=api_key) as client: url = f"/v1/{endpoint}" print(f"Requesting {url} with payload {payload}", file=sys.stderr) response = await client.post(url, json=payload) print(f"response: {response}", file=sys.stderr) json_data = response.json() return BaseResponse( status="working", content=json_data, credits_used=json_data.get("credits"), credits_remaining=json_data.get("remainingCredits"), tips=f"You **should** use the 'wait_job_completion' tool to wait for the job [{json_data.get('jobId')}] to complete if a jobId is present.", ) except Exception as e: return BaseResponse( status="error", content=f"{type(e)}: {[arg for arg in e.args if arg]}", )