Document to Markdown & RAG Chunks

Convert PDF, Word, PowerPoint, Excel, HTML and EPUB files into clean Markdown for LLMs, including OCR for scanned PDFs and images in 32 languages. Extract a page range, pull tables out as Markdown, strip repeated headers and footers, and open password-protected PDFs. Optional heading-aware chunking with page and section metadata, ready for an embedder or vector database.

Markdown RAG PDF 处理 Office 转换 ERP Excel 操作

该来源不提供完整文件导出（国内平台多为平台内托管），仅存元数据与原链

模型生成摘要（rules/v1 · 2026-10-01 19:57）：Convert PDF, Word, PowerPoint, Excel, HTML and EPUB files into clean Markdown for LLMs, including OCR for scanned PDFs a…
这是模型对公开材料的总结，不是官方声明，请以原链内容为准。

接入信息

传输形态: http
鉴权方式: 需 API Key（探测：需要鉴权（HTTP 401））
端点: https://doc-to-markdown--tashev.run.tools

该服务需要凭证，请按官方文档申请后替换占位符

{
  "mcpServers": {
    "Document to Markdown \u0026 RAG Chunks": {
      "headers": {
        "Authorization": "Bearer \u003cYOUR_KEY\u003e"
      },
      "url": "https://doc-to-markdown--tashev.run.tools"
    }
  }
}

能力清单

工具	说明
get-actor-run	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
get-dataset-items	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
get-key-value-store-record	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
abort-actor-run	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
pavel-dot-tashev--doc-to-markdown	This tool calls the Actor "pavel.tashev/doc-to-markdown" and retrieves its output results. Actor description: Extract text from PDF, Word, PowerPoint, Excel, HTML and EPUB files as clean Markdown for AI. PDF to Markdown, DOCX to text, OCR for scanned PDFs and images in 32 languages, plus free chunking for RAG and vector databases. Never charges for a failed or empty result.

Document to Markdown & RAG Chunks

接入信息

能力清单

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