# swiss-academic-libraries-mcp

> Use this tool when you need to access bibliographic and digitized records from Swiss academic libraries, solving research and information retrieval problems by providing a unified interface to search and retrieve data from multiple sources, including swisscovery, e-rara, e-periodica, and e-manuscripta, with outputs in open protocols. It accepts search queries as inputs and returns relevant bibliographic and digitized records. This tool is ideal for research and academic applications where seamless access to Swiss library collections is required.

Canonical page: https://skillsregistry.net/skills/malkreide-swiss-academic-libraries-mcp  
JSON: https://api.skillsregistry.net/v1/skills/malkreide-swiss-academic-libraries-mcp

## Description

Enables AI models to search and retrieve bibliographic and digitized records from Swiss academic libraries (swisscovery, e-rara, e-periodica, e-manuscripta) via open protocols without requiring API keys.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-05-27

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vvg54f8ogd)
- **Repository:** <https://github.com/malkreide/swiss-academic-libraries-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": "malkreide-swiss-academic-libraries-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/malkreide-swiss-academic-libraries-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/malkreide-swiss-academic-libraries-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