# Academia

> Use this tool when you need to streamline academic research workflows, conduct comprehensive literature reviews, or analyze scientific papers and citations. It integrates various data sources and provides features like paper search, LaTeX compilation, and LLM-powered document analysis, generating outputs such as research proposals and paper reviews. Ideal for researchers, academics, and students, Academia MCP simplifies tasks like citation tracking, reference management, and automated paper evaluation through its configurable interface and API key-based access.

Canonical page: https://skillsregistry.net/skills/ilyagusev-academia  
JSON: https://api.skillsregistry.net/v1/skills/ilyagusev-academia

## Description

Academia MCP is a research-focused server built by Ilya Gusev that provides comprehensive tools for scientific literature discovery, analysis, and reporting. It integrates with ArXiv, ACL Anthology, Semantic Scholar, Hugging Face datasets, and multiple web search providers (Exa, Brave, Tavily) to enable paper search, citation analysis, and reference tracking. The server includes LaTeX compilation capabilities, PDF processing, and optional LLM-powered features for document Q&A, paper review generation, and research proposal workflows using the "bitflip" methodology. It supports both HTTP and stdio transports with configurable tool availability based on API keys, making it useful for literature reviews, academic research workflows, citation analysis, and automated paper evaluation tasks.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ilyagusev-academia)
- **Repository:** <https://github.com/ilyagusev/academia_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": "ilyagusev-academia"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ilyagusev-academia` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ilyagusev-academia/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