cruxhive-mcp 0.7.3

CruxHive MCP server — team AI knowledge governance layer

cruxhive-mcp

The Python MCP server for CruxHive — a team AI knowledge governance layer.

Drop it into any project and any MCP-compatible AI tool (Claude Code, OpenCode, Cursor, Windsurf, Gemini CLI) can search, propose, and review project knowledge with a human-in-the-loop approval gate.

Why

LLM coding tools all have their own context format (CLAUDE.md, AGENT.md, .cursor/rules/, .windsurfRules). When you switch tools, you lose all your accumulated context. When you let the AI write to that context, you lose control of what's true.

CruxHive solves both:

• Tool-agnostic — one canonical .llm/CONTEXT.md, symlinked into every tool's expected location. Switch LLMs, keep your knowledge.
• Approval-gated — AI proposes new knowledge, humans approve. Search and indexing happens locally in SQLite.
• Three tiers — personal (~/.cruxhive/personal/), project (.llm/), org (synced).

Install

The recommended path is via the npm CLI which installs this server automatically:

npm install -g @cruxhive/cli
cruxhive init

To install just the Python server directly:

uv tool install cruxhive-mcp                # core
uv tool install "cruxhive-mcp[ui]"          # + web dashboard
uv tool install "cruxhive-mcp[full]"        # + hybrid vector search + NLI

What it exposes

Eleven MCP tools, all operating on local SQLite. Zero network calls.

Tool	What it does
context_index	Scan .llm/ + ~/.cruxhive/personal/ → SQLite FTS5 (+ optional vec)
context_search	Hybrid BM25 + vector search with RRF fusion (k=60)
context_propose	Write a pending knowledge entry to .llm/pending/
context_review	List entries awaiting human approval
context_approve	Approve a pending entry (source → human)
context_reject	Mark entry invalid (sets invalid_at, removes from index)
context_check_faithfulness	NLI contradiction check against approved constraints
context_radar	Git commits → classify by plan area → coverage report
context_next_slice	Read active plan → extract first unblocked work item
context_write_plan	Write .llm/plans/{name}.md + register in active.md
context_sync_memory	Sync workspace-level org context across projects

CLI binaries

Each tool also has a standalone CLI entry point, used internally by @cruxhive/cli:

cruxhive-mcp        # MCP stdio server
cruxhive-index      # build/refresh SQLite index
cruxhive-propose    # write a pending entry (content on stdin)
cruxhive-review     # JSON list of pending entries
cruxhive-approve    # approve an entry
cruxhive-reject     # reject an entry
cruxhive-stats      # usage observability dashboard

Manual .mcp.json wiring

If you'd rather skip cruxhive init:

{
  "mcpServers": {
    "cruxhive": {
      "command": "cruxhive-mcp",
      "type": "stdio"
    }
  }
}

Observability

Every MCP tool call is logged locally to .llm/cruxhive.db (events table) with: timestamp, calling AI tool, query, result count, latency. Inspect with:

cruxhive stats              # last 7 days summary + by-AI-tool breakdown + top gaps
cruxhive stats --days 30 --gaps
cruxhive stats --export csv > usage.csv

Disable logging entirely with CRUXHIVE_ANALYTICS=0.

Knowledge entry format

Every entry is a markdown file under .llm/ with YAML frontmatter:

---
type: constraint        # fact | decision | plan | pattern | constraint | research | outcome
scope: project          # personal | project | org
topic: auth
valid_at: 2026-05-29
invalid_at: ~
confidence: high        # low | medium | high
source: human           # human | ai-proposed | mozbridge-feed
approved_by: jane       # or ~ for pending
---

The body, in markdown. Explain what's true, when, and why.

cruxhive propose builds this for you interactively.

Architecture

• Storage: SQLite FTS5 (BM25) + optional sqlite-vec + Nomic Embed v1.5
• Fusion: Reciprocal Rank Fusion, k=60 (research-validated default)
• Approval: AI proposes → human approves; constraint writes always require approval
• Faithfulness: optional cross-encoder/nli-deberta-v3-small (~82MB) for post-session contradiction checks

Links

• Project site: https://cruxhive.com
• Documentation: https://cruxhive.com/guide.html
• Source: https://github.com/cruxhive/cruxhive
• npm CLI: @cruxhive/cli

License

MIT.