Is io.github.adelaidasofia/graph-autotagger-mcp safe to use?

io.github.adelaidasofia/graph-autotagger-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.adelaidasofia/graph-autotagger-mcp?

io.github.adelaidasofia/graph-autotagger-mcp can be installed by cloning its GitHub repository and following the setup instructions in the README.

What AI clients work with io.github.adelaidasofia/graph-autotagger-mcp?

io.github.adelaidasofia/graph-autotagger-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.

io.github.adelaidasofia/graph-autotagger-mcp

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

0 tools GitHub

No known CVEs

No license

Maintenance unknown

No commit data

Works with most clients

Transport: stdio

0 tools

Grade F

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Productivity Education

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-adelaidasofia-graph-autotagger-mcp": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Are you the author?

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Read me

What io.github.adelaidasofia/graph-autotagger-mcp does

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

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

21/100across 5 weighted dimensions

How we score →

0255075100

−79

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Help improve this page

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Frequently Asked Questions

Is io.github.adelaidasofia/graph-autotagger-mcp safe to use?: io.github.adelaidasofia/graph-autotagger-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.adelaidasofia/graph-autotagger-mcp?: io.github.adelaidasofia/graph-autotagger-mcp can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with io.github.adelaidasofia/graph-autotagger-mcp?: io.github.adelaidasofia/graph-autotagger-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.

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Discussion

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Productivity Education

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-adelaidasofia-graph-autotagger-mcp": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-adelaidasofia-graph-autotagger-mcp)](https://mcppedia.org/s/io-github-adelaidasofia-graph-autotagger-mcp)

Read me

What io.github.adelaidasofia/graph-autotagger-mcp does

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

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

README

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:

/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

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
```

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):

{
  "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 - se

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

21/100across 5 weighted dimensions

How we score →

0255075100

−79

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Help improve this page

This server is missing a description. Tools and install config are also missing.If you've used it, help the community.

Add information

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.adelaidasofia/graph-autotagger-mcp safe to use?: io.github.adelaidasofia/graph-autotagger-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.adelaidasofia/graph-autotagger-mcp?: io.github.adelaidasofia/graph-autotagger-mcp can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with io.github.adelaidasofia/graph-autotagger-mcp?: io.github.adelaidasofia/graph-autotagger-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.