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CiteAnything MCP Server

by veriglow

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    • A
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      Enables AI agents to securely read, search, and write to a local Markdown knowledge base with hybrid RAG retrieval, privacy zones, hash-locked writes, audit logging, and rollback-safe archiving.
      13
      MIT
    • A
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      Gives AI agents a long-term memory layer over plain Markdown notes, letting them run ranked, citable searches, record new facts, and inspect conflicts and stale entries. Results carry freshness labels, supersession history, and audit fields like search timestamp and no-match status so agents can prove a search actually ran.
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    • A
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      A
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      Enables AI agents to capture, structure, remember, and retrieve source-backed memory as local Markdown files, with reviewable writes and no cloud dependency.
      199
      MIT
    • A
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      Enables 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
    • A
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      quality
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      maintenance
      Enables AI clients like Claude, ChatGPT, and Cursor to search, read, and write back to one cross-model Markdown library of saved articles, videos, PDFs, notes, and conversations. Hosted remote server with OAuth 2.1 or Agent-key auth and read_only, edit, or full permission tiers.
      MIT