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 zoedsoupe · MCP Server · ★ 170
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Anubis MCP A high-performance Model Context Protocol (MCP) implementation in Elixir. Overview Anubis MCP is a comprehensive Elixir SDK for the Model Context Protocol, providing complete client and server implementations with Elixir's exceptional concurrency model and fault tolerance. Installation Quick Start Server elixir Define a tool as a Component (compile-time registration) defmodule MyApp.Echo do @moduledoc "Echoes everything the user says to the LLM" use Anubis.Server.Component, type: :tool alias Anubis.Server.Response schema do field :text, :string, required: true, maxlength: 150, description: "the text to be echoed" end @impl true def execute(%{text: text}, frame) do {:reply, Response.text(Response.tool(), text), frame} end end defmodule MyApp.MCPServer do use Anubis.Server, name: "My Server", version: "1.0.0", capabilities: [:tools]
| Stars | 170 |
| Forks | 72 |
| Language | Elixir |
| Category | MCP Server |
| Quality Score | 71.9682106591222/100 |
| Open Issues | 29 |
| Last Updated | 2026-09-07 |
| Created | 2025-07-30 |
| Platforms | mcp |
| Est. Tokens | ~16k |
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anubis-mcp is Elixir Model Context Protocol (MCP) SDK (hermes-mcp fork). It is categorized as a MCP Server with 170 GitHub stars.
anubis-mcp is primarily written in Elixir. It covers topics such as elixir, mcp, mcp-sdk.
You can find installation instructions and usage details in the anubis-mcp GitHub repository at github.com/zoedsoupe/anubis-mcp. The project has 170 stars and 72 forks, indicating an active community.
The top alternatives to anubis-mcp on Agent Skills Hub include hermes-mcp, gopher-mcp, magg. 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.
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