mcp-loom-mcp

Portable MCP context server for local and cloud LLM workflows: SQLite + FTS5, 17 tools, CPU-first and provider-flexible

A new way for AI to search for data
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1GitHub stars

Python, JavaScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 8e9f20e55b (2026-10-25).

Selected work

Malik Belkacemi
@MlkBlk-IT

“distribution - wheel/sdist, admin CLI and npm wrapper”. 6 files, 279 lines in src/loom, the project root, bin.

Licence

The repository

MIT

LICENSE file checked at the pinned commit; the author agreed to inclusion.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-31. Same terms as the repository. Answers name the repo, the commit and the file:line.

selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution

context-engineeringlocal-firstmcpsqlitecpu-onlymcp-serverllm-contextpip-installable

Example questions

The prompt

Paste it into your AI agent. It clones MlkBlk-IT/mcp-loom-mcp at the pinned commit and indexes it on your machine.

Search the GitHub repository MlkBlk-IT/mcp-loom-mcp with XERJ (https://hub.xerj.org/corpus/mlkblk-it--mcp-loom-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/MlkBlk-IT/mcp-loom-mcp mcp-loom-mcp && git -C mcp-loom-mcp checkout 8e9f20e55b259eea9b5dfa368a914f9c484cfe92
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./mcp-loom-mcp --url http://127.0.0.1:9200 --prefix mcp-loom-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.

Related

Selected work and consent: the XERJ registry.