# AI Research MCP Server

> Use this tool when you need to stay up-to-date on the latest AI and LLM research developments, and want to streamline your search and discovery process. It solves problems of information overload and manual tracking by aggregating content from multiple sources, including arXiv, GitHub, and Hugging Face. With intelligent search and automated summaries, it provides timely insights into 15+ AI research areas, making it ideal for researchers, scientists, and industry professionals seeking to accelerate their AI knowledge.

Canonical page: https://skillsregistry.net/skills/nanyang12138-ai-research-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nanyang12138-ai-research-mcp

## Description

Enables real-time tracking of AI/LLM research progress by searching and aggregating content from arXiv, GitHub, Hugging Face, and Papers with Code. Supports intelligent search, automated daily/weekly research summaries, and covers 15+ AI research areas with smart caching.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nlfxhdzhfa)
- **Repository:** <https://github.com/nanyang12138/AI-Research-MCP>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "nanyang12138-ai-research-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nanyang12138-ai-research-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nanyang12138-ai-research-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt