# openscholar-mcp

> openscholar-mcp — peprick-openscholar-mcp. Use this tool when you need to streamline scholarly discovery with verified open-access links and persistent research libraries. It solves problems of access to reliable academic sources and facilitates research organization, providing inputs such as research queries and outputs like curated libraries and verified links. Ideal for AI agents requiring robust academic research capabilities, particularly in legal and scholarly contexts.

Canonical page: https://skillsregistry.net/skills/peprick-openscholar-mcp  
JSON: https://api.skillsregistry.net/v1/skills/peprick-openscholar-mcp

## Description

Legal-first scholarly discovery with verified open-access links, persistent research libraries, and MCP tools for AI agents — built with Java/Spring Boot, Next.js, and PostgreSQL/pgvector.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/peprick/openscholar-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": "peprick-openscholar-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/peprick-openscholar-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/peprick-openscholar-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