
FastMCP server for Obsidian wikilink suggestions from a pre-computed knowledge g
io.github.adelaidasofia由 GitHub 帳號 adelaidasofia 發布v0.1.0更新於 Oct 24, 2026
FastMCP server for Obsidian wikilink suggestions from a pre-computed knowledge graph (graphify…
發布方自己的服務:Fastio
概覽
一個本機 MCP 伺服器,讀取預先計算好的 Obsidian 知識圖譜,為筆記建議 wikilink、樞紐節點與所屬社群。
- 可以做什麼
- 透過詞元重疊將筆記內容與圖譜節點標籤比對,為筆記建議 wikilink,並對高度連結的節點(度數前 20)給予額外權重。判斷筆記最接近屬於哪些圖譜社群。將接受、拒絕或忽略的建議記錄到本機 SQLite 資料庫,逐步累積回饋資料集。圖譜在啟動時載入一次並快取於記憶體中。
- 適用情境
- 適合在 Obsidian 中寫作、且已有 graphify 產生的 graph.json 的使用者,希望助理在起草筆記時提出交叉連結與社群歸屬建議。沒有預先計算的圖譜時用處不大。
- 執行需求
- 以本機程序(stdio)在桌面端執行,可透過 MCP 套件或 Python/FastMCP 方式安裝。需要設定 GRAPH_JSON_PATH 指向 networkx node_link_data 格式的 graphify graph.json;AUTOTAGGER_DB 可選設定 SQLite 日誌路徑。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 FastMCP server for Obsidian wikilink suggestions from a pre-computed knowledge g,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
graph-autotagger-mcp
[License] [GitHub stars] [Last commit] [Open issues] [PyPI version] [PyPI downloads] [Built by Mycelium AI]
A FastMCP server that reads a pre-computed Obsidian knowledge graph and suggests wikilinks for your notes. Designed as a companion to graphify — run graphify to build the graph, then this MCP surfaces connections as you write.
Tools
Install
Open Claude Code, paste:
After install, set GRAPH_JSON_PATH (see Environment variables below) and restart Claude Code, then ask:
"Suggest wikilinks for this note: [paste note content]"
Legacy install
-
Clone:
-
Set the path to your graph.json:
Or pass it at registration time (see below).
-
Self-test:
-
Register with Claude Code:
-
Restart Claude Code, then ask:
"Suggest wikilinks for this note: [paste note content]"
Environment variables
How it works
The server loads graph.json once at startup and caches it in memory. Node labels are tokenized and matched against note content using token overlap scoring. God Nodes (top 20 by degree) get special treatment since connecting to them creates high-value cross-links.
The log_suggestion_decision tool lets you build a feedback dataset over time: accepted suggestions can be used to tune the relevance threshold; rejected ones reveal graph noise.
graph.json format
Expects the output format from graphify (networkx node_link_data):
Note: networkx serializes edges under "links", not "edges".
Related MCPs
Same author, same architecture pattern (FastMCP, draft+confirm on writes where applicable, vault auto-export, MIT):
- slack-mcp - multi-workspace Slack
- imessage-mcp - macOS iMessage
- whatsapp-mcp - WhatsApp via whatsmeow
- google-workspace-mcp - Gmail / Calendar / Drive / Docs / Sheets
- apollo-mcp - Apollo.io CRM + sequences
- substack-mcp - Substack writing + analytics
- luma-mcp - lu.ma events
- parse-mcp - markitdown / Docling / LlamaParse router
- rescuetime-mcp - RescueTime productivity data
- graph-query-mcp - vault knowledge graph queries
- investor-relations-mcp - seed-raise pipeline tracker
- vault-sync-mcp - bidirectional vault sync
Telemetry
This plugin sends a single anonymous install signal to myceliumai.co the first time it loads in a Claude Code session on a given machine.
What is sent:
- Plugin name (e.g.
slack-mcp) - Plugin version (e.g.
0.1.0)
What is NOT sent:
- No user identifiers, names, emails, tokens, or API keys
- No file paths, message content, or anything from your work
- No IP address is stored after dedup processing
Why: Helps the maintainer know which plugins people actually install, so attention goes to the ones that get used.
Opt out: Set the environment variable MYCELIUM_NO_PING=1 before launching Claude Code. The hook will skip the network call entirely. Already-pinged installs leave a sentinel at ~/.mycelium/onboarded-<plugin> — delete it if you want to reset state.
License
MIT
Built by Mycelium AI. Full install or team version at diazroa.com.
來源:README.md,提交 5da031e
工具
0版本歷史
1- v0.1.0最新Sep 16, 2026
評分
已滿足適用檢查項的 50%
該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。
- 近 30 天內可連通25 分
請保持端點能夠回應 MCP 握手;SourceWeft 每 30 天探測一次。
- 已宣告認證方式10 分
請在註冊中心條目中宣告憑證請求標頭,或保持端點能夠回應探測,以便判定其認證方式。
- 已列出工具15 分
請讓伺服器在無憑證時回應 tools/list,或發布可在沙箱中無憑證啟動的軟體包。
- 描述必需15 分
- 圖示10 分
- 文件15 分
- 授權條款10 分
其他 Fast 整合
Fastio
io.fast官方發布者
Fastio 是遠端 MCP 端點,為每個專案提供單一工作區,整合檔案、團隊與 AI 代理。

Fast Entity Filing USDOT BOC-3 & 2027 UCR Compliance
com.fastentityfiling
Fast Entity Filing USDOT BOC-3 & 2027 UCR Compliance 的託管 MCP 服務,由 fastentityfiling.com 發布;無需登入;Streamable HTTP;10 個工具。

Make Agent Fast
由 GitHub 帳號 abdurshd 發布
Make Agent Fast 的遠端 MCP 伺服器,讓助理建立客服代理、檢視對話與潛在客戶並改善回覆。

FastOCR
由 GitHub 帳號 fastocr-org 發布
FastOCR 可將本機掃描版 PDF 與圖片 OCR 成文字或可搜尋 PDF,並把銀行對帳單擷取為 Excel、CSV 或 QuickBooks 檔案。

Fast Data Actors (via Apify MCP)
由 GitHub 帳號 ichkifokkus 發布
這是 Apify 託管 MCP 伺服器的一份設定,開放 Fast Data 的 Actor,用於 YouTube 字幕、Google 新聞與趨勢、職缺、文件轉換與影像處理。