# LINDAS MCP Server

> LINDAS MCP Server — bfh-jtf-lindas-mcp. Use this tool when you need to access structured statistical data from the Swiss Federal Archives' Linked Data platform, and convert natural language questions into actionable SPARQL queries. It solves problems of data retrieval and querying by translating user-friendly questions into machine-readable code. The LINDAS MCP Server takes natural language inputs and outputs SPARQL queries against RDF data cubes, ideal for use cases requiring seamless interaction with linked data repositories.

Canonical page: https://skillsregistry.net/skills/bfh-jtf-lindas-mcp  
JSON: https://api.skillsregistry.net/v1/skills/bfh-jtf-lindas-mcp

## Description

Enables LLMs to query structured statistical data from the Swiss Federal Archives' Linked Data platform (LINDAS) by translating natural language questions into SPARQL queries against RDF data cubes.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x3hgehzbli)
- **Repository:** <https://github.com/BFH-JTF/lindas-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": "bfh-jtf-lindas-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bfh-jtf-lindas-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bfh-jtf-lindas-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