HTPD
Answer questions from PDFs converted to .htpd: exact text with pages, or 'Not found in this file.'
What it does
HTPD 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 one capability: document understanding. That makes it a candidate for tasks such as answer questions from internal documents or extract data from PDFs.
Facts come from the Official MCP Registry, as declared by the publisher. Capabilities are matched automatically (low confidence) and are not 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
htpd-readerv0.1.2.post1 · runs locally (stdio)
MCP settings (Claude Desktop, Cursor and other MCP clients)
{
"mcpServers": {
"htpd": {
"command": "uvx",
"args": [
"htpd-reader"
]
}
}
}Tasks it helps with
Share of each task's required capabilities it covers| Answer questions from internal documents Document Understanding | 50% |
| Extract data from PDFs Document Understanding | 50% |
| Analyze financial documents Document Understanding | 50% |
| Analyze patents Document Understanding | 50% |
| Fact-check a document Document Understanding | 50% |
| Prepare tax documents Document Understanding | 50% |
| Review contracts Document Understanding | 50% |
| Summarize academic papers Document Understanding | 50% |
Similar tools
Listed for the same task: answer questions from internal documents- PDF, DOCX and scans to Markdown, CSV tables and RAG chunks with OCR. Runs on Apify
- BrainTubeREMOTELOCALYour saved videos, articles and notes as one knowledge base for Claude, ChatGPT and any MCP client
- 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
Ready-made AI agents
Facts & evidence
Each fact shows where it was seen and when.| Fact | Value | Evidence | Source | Last confirmed |
|---|---|---|---|---|
| Install package | htpd-reader | DECLARED | SRC-001 Official MCP Registry | 1h ago |
| Package registries | pypi | DECLARED | SRC-001 Official MCP Registry | 1h ago |
| Local install (package) | yes | DECLARED | SRC-001 Official MCP Registry | 1h ago |
| Remote access (hosted) | no | DECLARED | SRC-001 Official MCP Registry | 1h ago |
| Repository | https://github.com/narendrachampaneri/htpd | DECLARED | SRC-001 Official MCP Registry | 1h ago |
| Registry status | active | DECLARED | SRC-001 Official MCP Registry | 1h ago |
| Version | 0.1.2.post1 | DECLARED | SRC-001 Official MCP Registry | 1h ago |
| MCP server | yes | DECLARED | SRC-001 Official MCP Registry | 1h ago |
Change history
- NEW23 Oct 2026first seen in the index
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Free alerts · no accountQuestions about HTPD
How do I connect HTPD?
Install the PyPI package htpd-reader. The exact settings are in "How to connect" above, as declared in the Official MCP Registry.
What can I use HTPD for?
Based on its description, it is most relevant to: answer questions from internal documents, extract data from PDFs, analyze financial documents, analyze patents.