# litra-paper-search-mcp

> Use this tool when you need to efficiently search and discover relevant academic papers with features like natural language querying, relevance scoring, and summarization. It solves problems of information overload and tedious searching by providing scored results and additional features like author search and credit checking. Ideal for researchers, students, and academics seeking to quickly find and understand pertinent papers.

Canonical page: https://skillsregistry.net/skills/akkylab-litra-paper-search-mcp  
JSON: https://api.skillsregistry.net/v1/skills/akkylab-litra-paper-search-mcp

## Description

AI-powered academic paper search MCP server with relevance scoring, summarization, author search, and credit checking. Enables users to search papers naturally and get scored results.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dloyc4w0r7)
- **Repository:** <https://github.com/akkylab/litra-paper-search-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": "akkylab-litra-paper-search-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/akkylab-litra-paper-search-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/akkylab-litra-paper-search-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