FastMCP server for Obsidian wikilink suggestions from a pre Computed knowledge g

FastMCP server for Obsidian wikilink suggestions from a pre-computed knowledge graph (graphify…

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Install Config Generator

Choose your client

claude_desktop_config.json

{
  "mcpServers": {
    "fastmcp-server-for-obsidian-wikilink-suggestions-from-a-pre-computed-knowledge-g": {
      "command": "npx",
      "args": [
        "-y",
        "fastmcp-server-for-obsidian-wikilink-suggestions-from-a-pre-computed-knowledge-g"
      ]
    }
  }
}

💡 Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Documentation Overview

graph-autotagger-mcp

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

Tool	What it does
`suggest_links`	Suggest wikilinks for a note based on token overlap with graph node labels
`check_god_nodes`	Check which highly-connected nodes (top 20 by degree) are relevant to the note
`community_match`	Find which graph communities the note most closely belongs to
`log_suggestion_decision`	Log accepted/rejected/ignored decisions to a local SQLite database

Install

Open Claude Code, paste:

Code

/plugin marketplace add adelaidasofia/graph-autotagger-mcp
/plugin install graph-autotagger-mcp@graph-autotagger-mcp

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

Terminal

pip install fastmcp

Clone:

bash

git clone https://github.com/adelaidasofia/graph-autotagger-mcp.git
cd graph-autotagger-mcp

Set the path to your graph.json:
server.ts
```
export GRAPH_JSON_PATH="~/vault/.graph/graph.json"
```
Or pass it at registration time (see below).
Self-test:
bash
```
python3 server.py
```

Terminal

claude mcp add graph-autotagger -s user -- \
  env GRAPH_JSON_PATH="$HOME/vault/.graph/graph.json" \
  python3 /path/to/graph-autotagger-mcp/server.py

Restart Claude Code, then ask:

"Suggest wikilinks for this note: [paste note content]"

Environment variables

Variable	Default	Description
`GRAPH_JSON_PATH`	`~/vault/.graph/graph.json`	Path to your graphify output
`AUTOTAGGER_DB`	`~/.config/graph-autotagger/log.db`	SQLite log for suggestion decisions

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):

config.json

{
  "nodes": [{"id": "node-id", "label": "Node Label", "community": 0}],
  "links": [{"source": "node-a", "target": "node-b"}]
}

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.

Related MCP Servers

View all in Knowledge & Memory View all alternatives

Frequently Asked Questions about FastMCP server for Obsidian wikilink suggestions from a pre Computed knowledge g

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "fastmcp-server-for-obsidian-wikilink-suggestions-from-a-pre-computed-knowledge-g": { "command": "npx", "args": ["-y", "FastMCP server for Obsidian wikilink suggestions from a pre-computed knowledge g"] } }

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Technical Specs & Signals

CategoryKnowledge & Memory

0/4 checks healthy over the last 8h

27Quality signal: Emerging · 27/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20

Documentation & tools11/30

Adoption & activity1/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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More in 🧠 Knowledge & Memory →Best MCP servers for Memory & Knowledge →Alternatives to FastMCP server for Obsidian wikilink suggestions from a pre Computed knowledge g →Install in Claude Desktop Install in Cursor Install in VS Code

FastMCP server for Obsidian wikilink suggestions from a pre Computed knowledge g

FastMCP server for Obsidian wikilink suggestions from a pre-computed knowledge graph (graphify…

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Install Config Generator

Choose your client

claude_desktop_config.json

{
  "mcpServers": {
    "fastmcp-server-for-obsidian-wikilink-suggestions-from-a-pre-computed-knowledge-g": {
      "command": "npx",
      "args": [
        "-y",
        "fastmcp-server-for-obsidian-wikilink-suggestions-from-a-pre-computed-knowledge-g"
      ]
    }
  }
}

💡 Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Documentation Overview

graph-autotagger-mcp

Tools

Tool	What it does
`suggest_links`	Suggest wikilinks for a note based on token overlap with graph node labels
`check_god_nodes`	Check which highly-connected nodes (top 20 by degree) are relevant to the note
`community_match`	Find which graph communities the note most closely belongs to
`log_suggestion_decision`	Log accepted/rejected/ignored decisions to a local SQLite database

Install

Open Claude Code, paste:

Code

/plugin marketplace add adelaidasofia/graph-autotagger-mcp
/plugin install graph-autotagger-mcp@graph-autotagger-mcp

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

Terminal

pip install fastmcp

Clone:

bash

git clone https://github.com/adelaidasofia/graph-autotagger-mcp.git
cd graph-autotagger-mcp

Set the path to your graph.json:
server.ts
```
export GRAPH_JSON_PATH="~/vault/.graph/graph.json"
```
Or pass it at registration time (see below).
Self-test:
bash
```
python3 server.py
```

Terminal

claude mcp add graph-autotagger -s user -- \
  env GRAPH_JSON_PATH="$HOME/vault/.graph/graph.json" \
  python3 /path/to/graph-autotagger-mcp/server.py

Restart Claude Code, then ask:

"Suggest wikilinks for this note: [paste note content]"

Environment variables

Variable	Default	Description
`GRAPH_JSON_PATH`	`~/vault/.graph/graph.json`	Path to your graphify output
`AUTOTAGGER_DB`	`~/.config/graph-autotagger/log.db`	SQLite log for suggestion decisions

How it works

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):

config.json

{
  "nodes": [{"id": "node-id", "label": "Node Label", "community": 0}],
  "links": [{"source": "node-a", "target": "node-b"}]
}

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.

License

MIT

Built by Mycelium AI. Full install or team version at diazroa.com.

Related MCP Servers

View all in Knowledge & Memory View all alternatives

Frequently Asked Questions about FastMCP server for Obsidian wikilink suggestions from a pre Computed knowledge g

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

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Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/fastmcp-server-for-obsidian-wikilink-suggestions-from-a-pre-computed-knowledge-g?style=directory)](https://allmcps.com/mcp/fastmcp-server-for-obsidian-wikilink-suggestions-from-a-pre-computed-knowledge-g)

HTML Embed

<a href="https://allmcps.com/mcp/fastmcp-server-for-obsidian-wikilink-suggestions-from-a-pre-computed-knowledge-g"><img src="https://allmcps.com/api/badge/fastmcp-server-for-obsidian-wikilink-suggestions-from-a-pre-computed-knowledge-g?style=directory" alt="FastMCP server for Obsidian wikilink suggestions from a pre Computed knowledge g on AllMCPs" /></a>

Technical Specs & Signals

CategoryKnowledge & Memory

0/4 checks healthy over the last 8h

27Quality signal: Emerging · 27/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20

Documentation & tools11/30

Adoption & activity1/15

Community engagement0/10

★ Featured

AllMCPs Server

Explore Server →

Own this project?

This directory is pre-filled from public sources. Claim via GitHub README, site badge, or DNS TXT to get the verified badge and attach your website.

Free dofollow backlink: after claiming, verify your product site and place a dofollow AllMCPs badge — we recheck it stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.