shared-wiki-mcp
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- AlicenseNot gradedqualityAmaintenanceEnables AI agents to search, link, create, and update local Markdown architecture notes through MCP, with previews, write gates, revision checks, and source-hash drift detection.7 npmMIT
- AlicenseNot gradedqualityCmaintenanceEnables multiple AI agents to share a locally controlled long-term knowledge base of Markdown notes, allowing them to retrieve, add, update, and remove preferences, decisions, and experiences. It supports cross-agent recall and version-aware changes while keeping the notes readable and editable outside the agent.MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to search and read Markdown notes by keyword, meaning and links, with cited recall and honest no-match results. It also supports guarded, evidence-checked memory writes with receipts, conflict handling and lifecycle-aware filtering.MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to turn conversations into a searchable personal wiki, read and organize pages, and propose edits such as merges, translations, and fact-checks as reviewable changesets.2MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to manage Markdown notes via the Model Context Protocol, supporting creation, editing, searching, and conflict detection.MIT
- AlicenseBqualityAmaintenanceEnables AI agents to manage a markdown vault wiki by creating, reading, updating, deleting, moving, and searching notes, as well as giving feedback and asking questions with missed information logged for later retrieval.21MIT
TDQS
Scored across 7 tools
Each tool targets a distinct operation: search for discovery, read for a single note's body/metadata, context for bounded multi-source excerpts, changes for a time-based delta, capture for inbox writes, propose for replacement drafts, review_queue for ranking open questions. The only soft overlap is wiki_search vs wiki_context (both return excerpts), but the descriptions clarify that one is ranked retrieval and the other is question-scoped gathering.
All seven tools share the wiki_ prefix and snake_case, giving a predictable namespace. However, the second element mixes verbs (search, read, capture, propose) with nouns (review_queue, changes, context), so the verb_noun pattern is not uniformly applied.
Seven tools is a tight, well-scoped surface for a shared wiki: retrieval, inspection, review, change tracking, and two write paths. Every tool maps to a real workflow step with no filler.
Read/discovery/write-capture are covered, but two lifecycle paths dead-end: wiki_propose creates a proposed replacement with no tool to list, accept, or reject proposals, and wiki_review_queue surfaces open questions with no tool to answer or resolve them. Agents can work around this by reading and capturing notes, but the review/proposal loop is incomplete.