by neuronto · MCP Server · ★ 52
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Neuronto Agentic Resource Discovery (ARD) Index. Federated search across every public ARD registry, plus a verified tool index read from each MCP server's own tools/list, hybrid lexical and semantic retrieval, and ARD-Bench.
| Stars | 52 |
| Forks | 1 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 58.5601173248144/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-15 |
| Created | 2026-08-31 |
| Platforms | mcp, python |
| Est. Tokens | ~13k |
These tools work well together with agentic-resource-discovery for enhanced workflows:
Looking for a agentic-resource-discovery alternative? If you're comparing agentic-resource-discovery 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.
🤖 Taskade MCP · Official MCP server and OpenAPI to MCP codegen. Build AI agent tools from any OpenAPI API and
Codebase Context gives AI agents understanding of your codebase through semantic code search, team conventions
Desktop app that automatically scans and blocks malicious MCP traffic in AI apps like Cursor, Claude, VS Code
Google Analytics 4 data to AI agents, agentic workflows, and MCP clients. Give agents analysis-ready access to
Manage / Proxy / Secure your MCP Servers
MCP server for reusable prompt templates, multi-step workflow chains, and quality gates — compose agentic work
Explore other popular mcp server tools:
agentic-resource-discovery is Neuronto Agentic Resource Discovery (ARD) Index. Federated search across every public ARD registry, plus a verified tool index read from each MCP server's own tools/list, hybrid lexical and semantic r. It is categorized as a MCP Server with 52 GitHub stars.
agentic-resource-discovery is primarily written in Python. It covers topics such as a2a, agent-discovery, agent-registry.
You can find installation instructions and usage details in the agentic-resource-discovery GitHub repository at github.com/neuronto/agentic-resource-discovery. The project has 52 stars and 1 forks, indicating an active community.
agentic-resource-discovery is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to agentic-resource-discovery on Agent Skills Hub include mcp, codebase-context, MCP-Defender. 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: