# hal-mcp

> hal-mcp — arpany-tech-hal-mcp. Use this tool when you need to access academic publications and researcher information through a natural language interface. It solves problems related to publication search, statistics, and citation export, and provides outputs such as relevant publications, statistics, and citation data. Ideal for use cases requiring efficient and intuitive access to academic research and data.

Canonical page: https://skillsregistry.net/skills/arpany-tech-hal-mcp  
JSON: https://api.skillsregistry.net/v1/skills/arpany-tech-hal-mcp

## Description

An MCP server that lets AI assistants query the HAL open archive, including publication search, statistics, citation export, and researcher tracking via natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pih1fdtwgx)
- **Repository:** <https://github.com/Arpany-Tech/hal-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": "arpany-tech-hal-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/arpany-tech-hal-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/arpany-tech-hal-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