Antoine Ménard

Corpus Hub contributor since 2026-10-26

Antoine Ménard'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.

1corpus

1selected commit

11files

2,691lines

★ 9GitHub stars on repo

Totals across every corpus @enthouan 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 trello-mcp corpus

enthouan/trello-mcp: Self-hostable MCP server for Trello, built for LLM clients and local workflows

Look up how trello-mcp implements docker, llm, mcp, with answers cited to file and line.
Reuse a worked example: the commit “v1.0.3” (11 files · TypeScript, shell).
Answer from trello-mcp's real TypeScript source instead of memory (AI, prompts and agents).

Example questions

Where does trello-mcp handle “v1.0.3”?
How does trello-mcp implement docker?
What does scripts do in trello-mcp?

Paste it into your AI agent. It clones the repo at the pinned commit and indexes it on your machine.

Search the GitHub repository enthouan/trello-mcp with XERJ (https://hub.xerj.org/corpus/enthouan--trello-mcp).
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/enthouan/trello-mcp trello-mcp && git -C trello-mcp checkout d7c22c78223b60ccabe269ae3af2415957fed861
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./trello-mcp --url http://127.0.0.1:9200 --prefix trello-mcp --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 enthouan--trello-mcp · AI, prompts and agents
Related corpora: xobotyi--cc-foundry-infrastructure, xobotyi--cc-foundry-javascript, AriaEternity/xiaokui-mcd-mcp, emaxe/open-artifacts
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 9

enthouan/trello-mcp

Self-hostable MCP server for Trello, built for LLM clients and local workflows

On GitHub: 136 commits · 1 forks · 190 files at the pinned commit · created 2026-06 · last push 2026-10-26

Languages: TypeScript 78%, MDX 16%, Astro 4%

d7c22c7822 v1.0.3

selected commit: 11 files · 2,691 lines · TypeScript, shell · scripts, tests, the project root

The corpus is the whole repository at the pinned commit, not only the files of the selected commit.

live on the hub · licence clearedcorpus enthouan--trello-mcpAIMITdockerllmmcpmodel-context-protocoltrelloai agreed 2026-10-26

[![XERJ Corpus Hub contributor](https://hub.xerj.org/contributors/enthouan/badge.svg)](https://hub.xerj.org/contributors/enthouan)

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.