# science-ai-mcp-server

> Use this tool when you need to streamline academic research and publishing processes, such as finding research gaps, recommending journals, and detecting duplicate publications. The science-ai-mcp-server provides a suite of tools, including peer-review, journal recommendation, and article writing assistance, with both free local and LLM-backed options. It accepts research-related inputs and outputs recommendations, reports, and written content, making it ideal for researchers, authors, and academics seeking to enhance their workflow efficiency and publication quality.

Canonical page: https://skillsregistry.net/skills/selfpy-science-ai-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/selfpy-science-ai-mcp-server

## Description

Academic peer-review (HAKEM), research-gap finding, journal recommender (1,214 venues with predatory flags), duplicate publication checker, and article writer tools from Science AI Journal. Free local FTS5 tools + LLM-backed tools that bill the caller's account.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/btxojax6rk)
- **Repository:** <https://github.com/SelfPy/science-ai-mcp-server>

## 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": "selfpy-science-ai-mcp-server"
    }
  }
}
```

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