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FastMCP server for Obsidian wikilink suggestions from a pre-computed knowledge graph (graphify…
FastMCP server for Obsidian wikilink suggestions from a pre-computed knowledge graph (graphify…
A well-structured FastMCP server for knowledge graph analysis with appropriate scoping and no critical vulnerabilities. The codebase handles file I/O and local database operations securely. The telemetry hook sends minimal data (plugin name + version only) with proper opt-out mechanisms. Minor code quality issues around broad exception handling do not materially impact security. Supply chain analysis found 5 known vulnerabilities in dependencies (1 critical, 3 high severity).
4 files analyzed · 10 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: GRAPH_JSON_PATH
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-adelaidasofia-graph-autotagger-mcp": {
"env": {
"GRAPH_JSON_PATH": "your-graph-json-path-here"
},
"args": [
"-y",
"github:adelaidasofia/graph-autotagger-mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
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.
| 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 |
Open Claude Code, paste:
/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]"
pip install fastmcp
Clone:
git clone https://github.com/adelaidasofia/graph-autotagger-mcp.git
cd graph-autotagger-mcp
Set the path to your graph.json:
export GRAPH_JSON_PATH="~/vault/.graph/graph.json"
Or pass it at registration time (see below).
Self-test:
python3 server.py
Register with Claude Code:
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]"
| 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 |
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.
Expects the output format from graphify (networkx node_link_data):
{
"nodes": [{"id": "node-id", "label": "Node Label", "community": 0}],
"links": [{"source": "node-a", "target": "node-b"}]
}
Note: networkx serializes edges under "links", not "edges".
Same author, same architecture pattern (FastMCP, draft+confirm on writes where applicable, vault auto-export, MIT):
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:
slack-mcp)0.1.0)What is NOT sent:
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.
MIT
Built by Adelaida Diaz-Roa. Full install or team version at diazroa.com.
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