unfold-mcp
PDF, DOCX, PPTX and XLSX documents to Markdown for AI agents, from a URL or a local file.
What it does
unfold-mcp is an MCP server, a connector that lets an AI assistant use it as a tool. It is installed locally as a package and runs on your machine.
From the publisher's description, Electra Index matched it to 2 capabilities: document understanding and spreadsheet automation. That makes it a candidate for tasks such as answer questions from internal documents or analyze financial documents.
Facts come from the Official MCP Registry, as declared by the publisher. Capabilities are matched automatically (low confidence). None of this is a test of the tool.
At a glance
How to connect
As declared in the Official MCP Registry · not tested by Electra IndexInstall package
- PYPI
hybridforgelab-unfold-mcpv0.2.0 · runs locally (stdio)
MCP settings (Claude Desktop, Cursor and other MCP clients)
{
"mcpServers": {
"unfold-mcp": {
"command": "uvx",
"args": [
"hybridforgelab-unfold-mcp"
]
}
}
}Tasks it helps with
Share of each task's required capabilities it covers| Answer questions from internal documents Document Understanding | 50% |
| Analyze financial documents Document Understanding | 50% |
| Extract data from PDFs Document Understanding | 50% |
| Fact-check a document Document Understanding | 50% |
| Prepare tax documents Document Understanding | 50% |
| Summarize long documents Document Understanding | 50% |
| Analyze patents Document Understanding | 50% |
| Review contracts Document Understanding | 50% |
Similar tools
Listed for the same task: answer questions from internal documents- PDF, Word, PowerPoint, Excel, HTML and EPUB to clean Markdown for RAG, with OCR. Pay per document
- doc.page PDF ExtractionREMOTELOCALExtract PDFs to Markdown, RAG chunks and cited tables; publish tracked Doc Links with read stats
- PDF Text Extractor (Apify Actor)REMOTELOCALExtract text, tables and RAG chunks from public PDF URLs; pay-per-event via your Apify account
- doc-to-markdownREMOTELOCALPDF, Word, PowerPoint, Excel, HTML, EPUB to Markdown: OCR, page ranges, tables, RAG chunking
- Scholar RAG MCPREMOTELOCALAcademic paper knowledge-base MCP server: PDF ingest, vector search with reranking, KB management
- PinRAGREMOTELOCALMCP RAG: index PDFs, repos, YouTube, Discord, text; optional YouTube vision; query with citations
Ready-made AI agents
- Free plan · Prices & score →
- Saner.AI48$8/mo · free plan · Prices & score →
- Flank32On quote · Prices & score →
- On quote · Prices & score →
Facts & evidence
Each fact shows where it was seen and when.| Fact | Value | Evidence | Source | Last confirmed |
|---|---|---|---|---|
| Install package | hybridforgelab-unfold-mcp | DECLARED | SRC-001 Official MCP Registry | 11m ago |
| Package registries | pypi | DECLARED | SRC-001 Official MCP Registry | 11m ago |
| Local install (package) | yes | DECLARED | SRC-001 Official MCP Registry | 11m ago |
| Remote access (hosted) | no | DECLARED | SRC-001 Official MCP Registry | 11m ago |
| Website | https://unfold.hybridforgelab.com/integration.html#mcp-server | DECLARED | SRC-001 Official MCP Registry | 11m ago |
| Repository | https://github.com/hybridforgelab/unfold-mcp | DECLARED | SRC-001 Official MCP Registry | 11m ago |
| Registry status | active | DECLARED | SRC-001 Official MCP Registry | 11m ago |
| Version | 0.2.0 | DECLARED | SRC-001 Official MCP Registry | 11m ago |
| MCP server | yes | DECLARED | SRC-001 Official MCP Registry | 11m ago |
Change history
- NEW02 Nov 2026first seen in the index
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<a href="https://electraindex.com/mcp/unfold-mcp?utm_source=badge&utm_medium=share&utm_campaign=listing"><img src="https://electraindex.com/api/badge/unfold-mcp" alt="Listed on Electra Index"></a>Questions about unfold-mcp
How do I connect unfold-mcp?
Install the PyPI package hybridforgelab-unfold-mcp. The exact settings are in "How to connect" above, as declared in the Official MCP Registry.
What can I use unfold-mcp for?
Based on its description, it is most relevant to: answer questions from internal documents, analyze financial documents, extract data from PDFs, fact-check a document.