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@nullproof-studio/en-quire

v0.3.0

Published

Structured document management for agent systems, with governance. An MCP server.

Readme

@nullproof-studio/en-quire

Structured document management for agent systems, with governance. An MCP server.

Positioning — investigative: reads and edits with structural understanding (sections, outlines, frontmatter, TOC). For literal plain-text editing without interpretation, use @nullproof-studio/en-scribe.

Install

npm install -g @nullproof-studio/en-quire

Provides the enquire binary.

Supported formats

| Extensions | Parser | Indexed for search | Notes | |---|---|---|---| | .md, .mdx | markdown | yes | Section tree from ATX headings. Full TOC, frontmatter, GFM. | | .yaml, .yml | yaml | yes | Keys are sections. Dot-path + bracket addressing for doc_set_value. | | .jsonl, .ndjson | jsonl | no | Records wrapped in a synthetic __records root so doc_insert_section({ anchor: "__records", position: "child_end" }) appends a new record (works on empty files too). Heading auto-coalesced from identifier fields (name, id, description, title, role, type, kind); falls back to <firstKey>: <snippet>. Each write re-validates every line. |

All parsers implement the same DocumentParser interface, so every doc_* tool works across formats — doc_outline, doc_read_section, doc_replace_section, doc_insert_section, doc_delete_section, doc_proposals_*, etc.

Search scope

doc_search indexes markdown and YAML files only. JSONL is excluded deliberately: record-oriented data (chat transcripts, training samples, event logs) tends to be noisy in FTS — large content fields, repetitive role prefixes, and record counts that quickly outweigh prose documents — and its primary access pattern is record-by-index via doc_read_section, not substring search across the corpus. doc_status still surfaces JSONL files under unindexed, which is accurate rather than a warning. If search over JSONL content turns out to be a real need later, we can add it per-root behind a config flag.

Governance workflow

Proposals can become real pull requests on GitHub/GitLab. Configure the remote, the push flag, and a pr_hook on a root:

document_roots:
  docs:
    path: /data/docs
    git:
      remote: origin
      push_proposals: true
      pr_hook: "gh pr create --head {branch} --title 'Proposal: {file}' --base main"

Every mode: "propose" write then runs the full pipeline:

  1. Commits to a propose/<caller>/<path>/<timestamp> branch locally
  2. Pushes to the remote
  3. Fires pr_hook with {branch} / {file} / {caller} substitution (via execFile — no shell)

Approvals happen via doc_proposal_approve (merges locally after verifying the remote branch still exists — fails closed if it was merged upstream already) or via the PR UI on your host. Server startup runs git fetch --prune per git-enabled root so doc_proposals_list stays current across sessions.

Usage

See the repo README for configuration, tool reference, and the full spec.