Haypile
Related Servers
Alternatives to Haypile
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceLocal offline semantic search over documents (txt, md, pdf, docx, pptx, csv). Indexes folders into a LanceDB vector database with multilingual embeddings and supports hybrid vector + keyword search via Reciprocal Rank Fusion. No API keys, no cloud, no Docker required.28AGPL 3.0
- AlicenseBqualityBmaintenanceProvides local hybrid search over files by combining semantic vector and full-text BM25 retrieval, with MCP stdio/HTTP support, OAuth 2.1 authentication, and tools for reading and converting documents to Markdown.23MIT
- AlicenseAqualityAmaintenancePrivacy-first local document search using semantic search. Runs entirely on your machine with no cloud services, supporting PDF, DOCX, TXT, and Markdown files.2293,151 npm390MIT
- AlicenseAqualityBmaintenanceLocal-first RAG MCP server that indexes local documents and provides hybrid search (semantic + keyword) with file ingestion, URL fetching, and a CLI, keeping data on-device.1165MIT
- FlicenseNot gradedqualityCmaintenanceEnables semantic search over personal files using natural language, with optional AI summarization, all running locally.-
- FlicenseAqualityDmaintenanceEnables indexing local documents (PDF, Markdown, text, code) into a knowledge base and querying them via semantic search using local embeddings, all running privately on your machine.4-
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: search_documents queries the index, while list_sources provides an overview of indexed folders. There is no overlap or ambiguity in their roles.
Both tool names follow a consistent verb_noun pattern: search_documents and list_sources. The naming style is uniform and predictable.
With only 2 tools, the server is slightly under the typical 3-15 range, but for a focused document search index, two tools are a reasonable minimal set. It feels appropriately scoped rather than incomplete.
The tool set covers the core search use case and provides an auxiliary listing function. Missing operations like adding or removing sources are likely handled externally, so there are only minor gaps for a read-only search server.