by stacklok · MCP Server · ★ 2.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 2,326 |
| Forks | 326 |
| Language | Go |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 61/100 |
| Open Issues | 420 |
| Last Updated | 2026-11-06 |
| Created | 2025-03-12 |
| Platforms | go, k8s, mcp |
| Est. Tokens | ~18k |
[![Release][release-img]][release] [![Build status][ci-img]][ci] [![Coverage Status][coveralls-img]][coveralls] [![License: Apache 2.0][license-img]][license] [![Star on GitHub][stars-img]][stars] [![Discord][discord-img]][discord] ToolHive - simplify and secure MCP servers Run any Model Context Protocol (MCP) server: securely, instantly, anywhere.
These tools work well together with toolhive for enhanced workflows:
Looking for a toolhive alternative? If you're comparing toolhive with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
MCP Server Framework and Tool Development library for building custom capabilities into agents.
An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified e
Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator
Plugin for JADX to integrate MCP server
MCP Aggregator, Orchestrator, Middleware, Gateway in one docker
Explore other popular mcp server tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: