Literature Evidence MCP
Related Servers
Alternatives to Literature Evidence MCP
No user-submitted related servers found.
Related Servers
- AlicenseBqualityBmaintenanceEnables local agents to search and retrieve cited evidence from PDFs and Markdown notes, including page-specific passages and rendered page images.6GPL 3.0
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to search a local paper library, find evidence for claims, and generate citations only for papers actually held in the library.Apache 2.0
- AlicenseAqualityBmaintenanceEnables AI writing assistants to retrieve citable evidence from local PDFs and verify draft citations against their sources locally, providing verifiable support for claims.22MIT
- FlicenseBqualityCmaintenanceEnables evidence-first analysis of research papers and slide decks by converting local PDFs, DOCX, PPT, and PPTX files into a cached, token-efficient index for batched searching and selective visual verification.42-
- AlicenseAqualityCmaintenanceEnables local-first hybrid knowledge retrieval from authorized Markdown and plain-text files, combining full-text and vector search with reranking and traceable source references via a single search tool.1MIT
- AlicenseNot gradedqualityBmaintenanceEnables assistants to search a personal library of local documents using hybrid BM25 and embeddings, retrieve exact passages with file and page citations, and manage collections entirely on the user's own machine.MIT
TDQS
Scored across 5 tools
Each tool maps to a distinct function: health/status, file enumeration, search across metadata and full text, targeted excerpt retrieval, and visual page inspection. The only close pair, fetch and read_page_image, is clearly differentiated as text versus image access.
Names are consistently lowercase snake_case but mix conventions: list_files and read_page_image follow verb_noun, while library_status is noun_noun and search/fetch are bare verbs. The set remains readable but does not follow one predictable naming pattern.
Five tools is appropriately sized for a literature retrieval server; each covers a distinct need without redundancy. The count is well within the ideal 3-15 range and feels neither sparse nor bloated.
The surface covers the core evidence workflow: locate sources via search/list, retrieve text via fetch, and inspect visual content via read_page_image. Minor gaps exist, such as no dedicated full-metadata display or comparison tool, but these are workable.