# Academic Research Intelligence MCP

> Use this tool when you need to uncover relevant academic research, track emerging trends, and analyze scholarly connections. It enables AI agents to search and analyze academic papers, citations, and authors, providing insights into related work and trending research. Ideal for use cases requiring in-depth academic research, such as literature reviews, research gap analysis, and topic modeling.

Canonical page: https://skillsregistry.net/skills/foundrynet-academic-intel-mcp  
JSON: https://api.skillsregistry.net/v1/skills/foundrynet-academic-intel-mcp

## Description

Enables AI agents to search academic papers, analyze citations and authors, track trending research, and find semantically related work using free scholarly sources.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n2llk388wm)
- **Repository:** <https://github.com/FoundryNet/academic-intel-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": "foundrynet-academic-intel-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/foundrynet-academic-intel-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/foundrynet-academic-intel-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