io-mcp
Enables local research workflows (paper discovery, relevance scoring, digests) and homelab monitoring (Prometheus, logs) through an MCP server, using local LLM inference via Ollama with no cloud dependencies.
README
io-mcp
Local Research & Homelab Assistant Toolkit — a Python tool suite that automates research workflows (paper discovery, relevance scoring, digests) and homelab monitoring (Prometheus, logs), exposed through an MCP server for Open WebUI and a CLI for cron/systemd jobs. Both frontends share one core library. LLM inference is local via Ollama — no cloud API dependencies.
Features
- Paper digests — query arXiv + Semantic Scholar for your interests, score relevance with a local model, and push a digest to ntfy.
- Homelab status — structured host health and raw PromQL against Prometheus.
- Log summaries — journald logs summarized by a local model.
- Two frontends, one core — MCP (Streamable HTTP) for Open WebUI, CLI for cron.
Install
Target is Fedora / any systemd Linux. One script sets up an isolated environment (venv or conda), installs io-mcp, and (optionally) systemd units:
git clone <your-remote> io-mcp && cd io-mcp
./deploy/install.sh --systemd --timer # venv
# or: ./deploy/install.sh --method conda --systemd --timer
Full deployment details, options, and external-service setup:
deploy/README.md.
Manual install (development)
python3 -m venv .venv && source .venv/bin/activate
pip install -e '.[dev]' # editable is required (prompts/ resolves at runtime)
io-mcp init # writes ~/.config/io-mcp/config.yaml + state.db
Configuration
Single YAML file at ~/.config/io-mcp/config.yaml (see
config.example.yaml). Any value can be overridden by an
environment variable with the IO_MCP_ prefix and __ nesting:
IO_MCP_OLLAMA__BASE_URL=http://localhost:11434
IO_MCP_NTFY__BASE_URL=http://malleus:8090
IO_MCP_SERVER__PORT=8484
io-mcp config prints the fully resolved configuration.
CLI
io-mcp digest Run discovery → score → digest → notify (ntfy)
--dry-run Show results without notifying
--since YYYY-MM-DD Override lookback date
--interests NAME Restrict to specific interest group(s)
--prune-days N Prune seen papers older than N days after the run
io-mcp search QUERY One-off paper search (--source arxiv|s2|both, --score)
io-mcp status Homelab host health (--host NAME, --json)
io-mcp query PROMQL Raw PromQL query
io-mcp logs Summarize logs (--host, --unit, --since, --priority)
io-mcp serve Start the MCP server (--host, --port)
io-mcp config Print resolved configuration
io-mcp init Create default config + state database
MCP server
io-mcp serve # binds server.host:server.port from config, path /mcp
Connect in Open WebUI: Admin Settings → External Tools → + Add Server →
MCP (Streamable HTTP) → http://127.0.0.1:8484/mcp. Exposed tools:
search_papers, score_paper, run_digest, recent_papers, host_status,
query_prometheus, summarize_logs.
Development
pip install -e '.[dev]'
pytest # all external services are mocked; no network needed
ruff check .
Project layout
io_mcp/ core library (config, state, ollama, notify) + tools/ + server + cli
prompts/ system prompts (loaded at runtime; keep with the repo)
deploy/ install.sh, systemd units, crontab example, deployment guide
tests/ pytest suite (mocked APIs, in-memory SQLite)
Requirements
- Python ≥ 3.11
- Ollama with your chosen models pulled
- ntfy (self-hosted or ntfy.sh) for digest notifications
- Prometheus + node_exporter for homelab tools (optional)
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