Antonio Mello
Antonio Mello's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.
Totals across every corpus @antonio-mello-ai appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.
What an agent can do with the mcp-proxmox corpus
antonio-mello-ai/mcp-proxmox: MCP server for managing Proxmox VE clusters through AI assistants
- Look up how mcp-proxmox implements ai, homelab, llm, with answers cited to file and line.
- Answer from mcp-proxmox's real source instead of memory (AI, prompts and agents).
- How does mcp-proxmox implement ai?
Search the GitHub repository antonio-mello-ai/mcp-proxmox with XERJ (https://hub.xerj.org/corpus/antonio-mello-ai--mcp-proxmox). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/antonio-mello-ai/mcp-proxmox mcp-proxmox && git -C mcp-proxmox checkout 446c798d018b2575650632d745602328c6dec4eb 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./mcp-proxmox --url http://127.0.0.1:9200 --prefix mcp-proxmox --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
corpus antonio-mello-ai--mcp-proxmox · AI, prompts and agents
Related corpora: fastmcp, dunorth595--xrpl-did-mcp, antonio-mello-ai/mcp-google, oaslananka/kicad-mcp-pro
AI search and retrieval with XERJ · Case study: reference coding for agents
Selected work
antonio-mello-ai/mcp-proxmox
MCP server for managing Proxmox VE clusters through AI assistants
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
antonio-mello-ai/mcp-pfsense
MCP server for managing pfSense firewalls through AI assistants
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
antonio-mello-ai/mcp-redis-monitor
MCP server for redis-monitor
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
antonio-mello-ai/crewdock
Open-source self-hosted control plane for focused AI agents: roles, tasks, approvals, knowledge context, activity and cost visibility. Built by Felhen
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
antonio-mello-ai/iterm-ai-agents-bundle
Agentic iTerm control skills for Codex, Claude Code, and SKILL.md agents
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
antonio-mello-ai/mcp-airflow
MCP server for airflow
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
antonio-mello-ai/mcp-google
MCP server for google
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
antonio-mello-ai/bg-removal-service
Background removal service with IS-Net + SAM ViT-L for product images
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
antonio-mello-ai/chops
ClickHouse Operations CLI: health checks, data quality profiling, and observability from your terminal
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
antonio-mello-ai/mcp-clickhouse
MCP server for clickhouse
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
antonio-mello-ai/mcp-slack
MCP server for slack
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
felhen-ai/saracura
Local-first decision models for fast typed decisions at scale, with PT-BR-first evaluation
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
Sign in with GitHub or Hugging Face to see more: every selected commit in full (commit date, every folder, licence review state, pin) and the pack builds of each corpus.
[](https://hub.xerj.org/contributors/antonio-mello-ai)
Included with the author's permission (email, 2026-10-26), under each repository's own licence, with attribution. Own more repositories? Sign in with GitHub and add them. Want something removed? Reply to the email, withdraw it on /add, or open an issue on xerj-org/xerj.