No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by elevanaltd · MCP Server · ★ 55
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is octave-mcp safe to install? View the security audit →
OCTAVE MCP Server []() Deterministic document infrastructure for LLM pipelines. Canonicalization, schema validation, grammar compilation, and MCP tools for durable AI artifacts. This README serves three audiences. We know that's unusual, and we're being upfront about it — because the project itself sits at the intersection of all three. For Engineers OCTAVE is a structured document format with an MCP server and CLI. Documents normalise to a single canonical form, validate against their own schema, and log every transformation. It's infrastructure for AI documents that need to survive compression, multi-agent handoffs, and auditing. Quick example: what changes Ask an LLM to summarise a project status and you get prose: text T
| Stars | 55 |
| Forks | 4 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 69.0781431542373/100 |
| Open Issues | 44 |
| Last Updated | 2026-09-18 |
| Created | 2025-06-29 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
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octave-mcp is OCTAVE protocol - structured AI communication with 3-20x token reduction. MCP server with lenient-to-canonical pipeline and schema validation.. It is categorized as a MCP Server with 55 GitHub stars.
octave-mcp is primarily written in Python. It covers topics such as ai, llm, mcp.
You can find installation instructions and usage details in the octave-mcp GitHub repository at github.com/elevanaltd/octave-mcp. The project has 55 stars and 4 forks, indicating an active community.
octave-mcp is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to octave-mcp on Agent Skills Hub include gopher-mcp, youtube-connector-mcp, zettelkasten-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: