PDF, Word, PowerPoint and scans to Markdown or RAG chunks, via the Apify actor
Scored across 5 tools
Each tool targets a distinct action or resource: aborting a run, inspecting a run, fetching dataset rows, fetching a KV record, and converting a document. There is minor overlap between the high-level doc-to-markdown wrapper and get-dataset-items for retrieving actor output, but the descriptions generally distinguish status/metadata from actual rows.
Four of five tools follow a kebab-case verb-noun pattern: abort-actor-run, get-actor-run, get-dataset-items, get-key-value-store-record. The core conversion tool is named tidewell--doc-to-markdown, a vendor/actor-prefixed outlier that breaks the otherwise consistent convention.
Five tools is a reasonable size for a single document-conversion Actor plus async run lifecycle and result-access utilities. The four generic Apify tools are somewhat heavier than the one domain-specific tool, but each maps to a plausible need when runs produce datasets or key-value records.
The document-to-Markdown domain is well covered by the conversion tool, including multiple formats, OCR, tables, and chunked output for RAG. Supporting operations lack discovery/listing tools for datasets, stores, or keys, but run details supply identifiers so agents can usually work around this.
Abort an Actor run that is currently starting or running. For runs with status SUCCEEDED, FAILED, ABORTING, ABORTED, or TIMED-OUT, this call has no effect. The results will include the updated run details after the abort request.
USAGE:
Use when you need to stop a run that is taking too long or misconfigured.
USAGE EXAMPLES:
user_input: Abort run y2h7sK3Wc
user_input: Gracefully abort run y2h7sK3Wc
Inputs: runId (required), gracefully. Returns: tip, runId, stats, status, +10 more
Get detailed information about a specific Actor run.
Returns run result: status, storages (datasets/keyValueStores alias map), stats, summary, nextStep.
summary describes the past (e.g. "SUCCEEDED in 22s. 47 items; 3 fields available.").
nextStep prescribes one primary follow-up action with identifiers interpolated (e.g. "Use get-dataset-items with datasetId=...").
waitSecs (0–45, default 30) waits up to that many seconds for terminal status before returning.
USAGE:
Use to check the status of a run started by any Actor-running tool.
Pass waitSecs > 0 to block until terminal (or until the cap elapses).
USAGE EXAMPLES:
user_input: Show details of run y2h7sK3Wc
user_input: Wait for run y2h7sK3Wc to finish
Inputs: runId (required), waitSecs. Returns: tip, runId, stats, status, +10 more
Get items (rows) from a dataset — the output/results produced by an Actor run. Returns the rows themselves, not dataset metadata, counts, or a schema. When the user provides a datasetId and asks to retrieve results, output, data, or rows, call this tool directly. Default limit is 20. Use clean=true to skip empty items and hidden fields.
USAGE:
Use when you need to read data from a dataset (all items or only selected fields).
USAGE EXAMPLES:
user_input: Retrieve results from dataset abc123
user_input: Get only metadata.url and title from dataset username~my-dataset
Inputs: datasetId (required), desc, omit, clean, +4 more. Returns: items, limit, offset, summary, +5 more
Get the value stored under a specific key in a key-value store — a single record, not a listing of all keys. Requires the exact key name. The response preserves the original Content-Encoding; most clients handle decompression automatically.
USAGE:
Use when you need to retrieve a specific record (JSON, text, or binary) from a store.
USAGE EXAMPLES:
user_input: Get record INPUT from store abc123
user_input: Get record data.json from store username~my-store
Inputs: recordKey (required), keyValueStoreId (required). Returns: key, value, summary, contentType, +1 more
This tool calls the Actor "tidewell/doc-to-markdown" and retrieves its output results. Actor description: Returns clean Markdown, or token-sized chunks with page and heading metadata, for each PDF, DOCX, PPTX, XLSX, HTML, EPUB or scanned image. Tables become Markdown tables; scans are read with Tesseract OCR in 25 languages. For RAG, LangChain and LlamaIndex. Pay per document and page.
Inputs: ocr, ocrDpi, chunking, fileUrls, +27 more. Returns: tip, runId, stats, status, +10 more
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
PDF, DOCX and scans to Markdown, CSV tables and RAG chunks with OCR. Runs on Apify.
Convert PDF, Word, Excel and scanned documents to Markdown, tables and RAG chunks. OCR.
PDF, Word, PowerPoint, Excel, HTML, EPUB to clean Markdown for LLMs/RAG; OCR for scans; chunks.
PDF, Word, PowerPoint, Excel, HTML, EPUB to Markdown: OCR, page ranges, tables, RAG chunking
Add one secure layer between your agents and this server.
