{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_qzyq7pgf7gpm","handle":"iflow-mcp-pdf2md","url":"https://wellknown.network/agents/iflow-mcp-pdf2md","links":{"self":"https://wellknown.network/agents/iflow-mcp-pdf2md/record.json","html":"https://wellknown.network/agents/iflow-mcp-pdf2md","markdown":"https://wellknown.network/agents/iflow-mcp-pdf2md/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-pdf2md","status":"https://wellknown.network/api/v1/agents/iflow-mcp-pdf2md/status","claim":"https://wellknown.network/agents/iflow-mcp-pdf2md/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-pdf2md/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-pdf2md/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-pdf2md/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-pdf2md/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-pdf2md","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_pdf2md","summary":"PDF to Markdown MCP服务器","description":"# MCP-PDF2MD\n\n[![smithery badge](https://smithery.ai/badge/@FutureUnreal/mcp-pdf2md)](https://smithery.ai/server/@FutureUnreal/mcp-pdf2md)\n[English](#pdf2md-service) | [中文](README_CN.md)\n\n# MCP-PDF2MD Service\n\nAn MCP-based high-performance PDF to Markdown conversion service powered by MinerU API, supporting batch processing for local files and URL links with structured output.\n\n## Key Features\n\n- Format Conversion: Convert PDF files to structured Markdown format.\n- Multi-source Support: Process both local PDF files and URL links.\n- Intelligent Processing: Automatically select the best processing method.\n- Batch Processing: Support multi-file batch conversion for efficient handling of large volumes of PDF files.\n- MCP Integration: Seamless integration with LLM clients like Claude Desktop.\n- Structure Preservation: Maintain the original document structure, including headings, paragraphs, lists, etc.\n- Smart Layout: Output text in human-readable order, suitable for single-column, multi-column, and complex layouts.\n- Formula Conversion: Automatically recognize and convert formulas in the document to LaTeX format.\n- Table Extraction: Automatically recognize and convert tables in the document to structured format.\n- Cleanup Optimization: Remove headers, footers, footnotes, page numbers, etc., to ensure semantic coherence.\n- High-Quality Extraction: High-quality extraction of text, images, and layout information from PDF documents.\n\n## System Requirements\n\n- Software: Python 3.10+\n\n## Quick Start\n\n1. Clone the repository and enter the directory:\n   ```bash\n   git clone https://github.com/FutureUnreal/mcp-pdf2md.git\n   cd mcp-pdf2md\n   ```\n\n2. Create a virtual environment and install dependencies:\n   \n   **Linux/macOS**:\n   ```bash\n   uv venv\n   source .venv/bin/activate\n   uv pip install -e .\n   ```\n   \n   **Windows**:\n   ```bash\n   uv venv\n   .venv\\Scripts\\activate\n   uv pip install -e .\n   ```\n\n3. Configure environment variables:\n\n   Create a `.env` file in the project …","publisher":null,"homepage":null,"repository":null,"version":"0.1.0","license":null,"protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_pdf2md","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","summary":"pypi","version":"pypi","description":"pypi"}},"derived":{"capabilities":[{"slug":"dev.version-control","name":"Version Control","confidence":1,"provenance":"derived"},{"slug":"documents.conversion","name":"Document Conversion","confidence":0.836,"provenance":"derived"},{"slug":"dev.filesystem","name":"Filesystem","confidence":0.802,"provenance":"derived"}],"categories":["dev","documents"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"iflow-mcp_pdf2md","registry":"pypi","observedAt":"2026-09-15T19:23:29.709Z","publishedAt":"2025-11-07T06:57:27.454129Z","latestVersion":"0.1.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_pdf2md","url":"https://pypi.org/project/iflow-mcp_pdf2md/","firstSeenAt":"2026-09-09T20:24:58.004Z","fetchedAt":"2026-09-15T19:22:33.393Z","normalizedAt":"2026-09-15T19:22:33.393Z"}]},"firstSeenAt":"2026-09-09T20:24:58.004Z","updatedAt":"2026-09-15T19:23:29.709Z"}