WikiPeatia MCP Server
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Hormonaly MCP Serverofficial
FlicenseNot gradedqualityDmaintenanceEnables AI agents to access 24 clinical tools for evidence synthesis, protocol lookup, and decision support in peptide, hormone, and longevity medicine.2-- FlicenseAqualityDmaintenanceEnables AI assistants to search, read, and retrieve context from local knowledge bases with full-text search, absolute paths, and section-level details.4-
- AlicenseNot gradedqualityAmaintenanceEnables AI clients to search a personal corpus, read relevant source passages, and answer questions with traceable evidence from imported sessions, notes, and articles.1MIT
- AlicenseNot gradedqualityAmaintenanceProvides AI assistants with semantic search and read access to local files and directories, enabling knowledge retrieval from indexed content.40 npm18MIT
- FlicenseNot gradedqualityAmaintenanceEnables AI agents and MCP hosts to query a locally built hybrid (vector + BM25) index of scattered notes, docs, and chat logs, retrieving answers with section-level citations. It exposes 8 tools plus resources and prompts so hosts like Claude Desktop, Cursor, and Cline can search, ask, and browse the user's personal knowledge base directly.-
TDQS
Scored across 32 tools
Tools are mostly separable by prefix and resource, and descriptions explicitly distinguish similar ones (wiki_search vs corpus_search, corpus_ask vs corpus_deep_ask). However, there is still notable overlap among search/retrieval tools across wiki, corpus, and raypeat, which could cause occasional misselection.
All names use snake_case with consistent domain prefixes (wiki_, corpus_, raypeat_), and most follow prefix_verb_noun. Minor deviations like wiki_read and noun-only corpus_health/corpus_library are readable and do not break predictability.
32 tools is heavy for a single MCP server, even across three related domains; many retrieval/search variants could be consolidated or more clearly grouped. The count exceeds the recommended 15-tool range and increases selection burden.
The surface covers search, retrieval, metadata, discovery, QA, article listing, and corpus stats extensively, leaving few obvious retrieval gaps. It is read-oriented, so missing write/edit operations are acceptable for the apparent research purpose.