Homelab Asset DB MCP Server
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
homelab-asset-db-mcp
Query a Markdown-based homelab asset database via Model Context Protocol.
A tiny FastMCP stdio server that turns a
plain-Markdown inventory of your homelab (servers, LXC containers, Raspberry
Pis, smart-home gadgets, …) into structured MCP tools. An LLM connected via
MCP can then answer "where does pve01 run", "which IP has the printer" or
"what's on the smart-home VLAN" directly — no reading and grepping the
Markdown file on every query.
Read-only, no hosting, no auth, no API credits. The data lives in a file you own; this repo only carries the parser + a fictional sample.
Why
Most homelab inventories live as a Markdown table in someone's notes. That's great for humans and terrible for an agent, which has to fetch the whole file and pattern-match every time. This server parses the tables once per call and exposes four precise lookups instead.
Sibling to iobroker-mcp,
paperless-bulk-mcp and
nanobanana-render-mcp —
same FastMCP scaffolding, different domain.
Related MCP server: nvim-markdown-notes-memgraph
Tools
Tool | Argument | Purpose |
| free-text string | full-text search across all fields |
| exact name/hostname | a single device |
| VLAN name (substring) | all devices on a VLAN |
| Server/LXC/RasPi/Office/SmartHome/Entertainment/Network/Unknown | all devices in a section |
All tools return JSON. Fields with no value are omitted from the response.
Setup
git clone https://github.com/McCavity/homelab-asset-db-mcp.git
cd homelab-asset-db-mcp
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txtOut of the box the server reads the bundled asset-db.sample.md (fictional
data), so it runs immediately.
Configuration
Point the server at your own database with the ASSET_DB_PATH environment
variable. Your real file stays outside this repo (it's gitignored):
export ASSET_DB_PATH=~/notes/homelab/asset-db.md~ is expanded. If ASSET_DB_PATH is unset, the bundled sample is used. A
.env file next to server.py is also read (see .env.example); values
already in the environment win, so an MCP host's env config takes precedence.
Register with Claude Code
claude mcp add --transport stdio --scope user homelab-asset-db \
--env ASSET_DB_PATH=/absolute/path/to/your/asset-db.md \
-- /absolute/path/to/homelab-asset-db-mcp/venv/bin/python \
/absolute/path/to/homelab-asset-db-mcp/server.pyThen /mcp lists the server and the four tools become callable in any session.
Data format
The database is Markdown. Each ## heading starts a section; the first table
row after it is the header, the rest are devices. Section headings are mapped
to categories in CATEGORY_MAP in server.py — headings not listed there
(e.g. a "Naming Scheme" table) are treated as documentation and skipped.
Columns may differ per section; each device keeps whatever columns its table
defines. Both English and German section headings are recognised. See
asset-db.sample.md for the full shape.
The file is re-parsed on every tool call — no caching, no restart when it changes.
Testing
python -m unittest discover -s tests -vCovers the bundled English sample and a German fixture (so a change that breaks real-world German-headed databases fails the suite).
Known limits
No resources (
@mcp.resource) — devices without a hostname would have no stable URI. Could be added later with a slug generator.No caching — the file is re-parsed per call. Fine for a few hundred rows; cache + mtime-invalidate for larger inventories.
Read-only by design — no write tools.
License
MIT © 2026 Henning Halfpap
This server cannot be deployed
Maintenance
Related MCP Connectors
Search and reason over your Obsidian-style Markdown vault, right from ChatGPT.
Read-only search and Markdown access to liz's public docs, prompts, resources, and an MCP App.
Convert PDFs, Office docs, websites and audio into AI-ready Markdown, then search and ask your docs.
Search, read, and safely update Markdown notes in your connected Phasoric knowledge vaults.
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