Lindas MCP
MCP server for LINDAS — the Swiss administration's linked-data SPARQL knowledge graph (cube.link)
Connector by malkreide · GitHub account verified by the MCP Registry
Install
Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.
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Permissions
What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.
- Tools
- 7 read · 0 write · 0 deleteRead-only
- Secrets
- None asked for
- Install scripts
- Not scanned yet
- Runs as
- Python package
Tools by what they do 7
Read from the source code; the running server may list different tools.
Read 7 · Look things up without changing anything.
api_statusget_cube_structurelist_publishersquery_cube_observationsresolve_municipalityrun_sparqlsearch_cubes
Tools (7)
Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].
api_statusread-onlyCheck whether the LINDAS SPARQL endpoint is reachable. Returns an evaluable status even on failure, so an agent can tell "no data matched" apart from "the endpoint is down".
get_cube_structureread-onlyRead a cube's dimensions and measures — what the cube contains. Tells you which dimensions you can filter on (`KeyDimension`), which values are measured (`MeasureDimension`), and which dimensions carry code lists. It also returns the licence, which is frequently a Fedlex URI you can resolve with fedlex-mcp. Call this to understand a cube before reading it, and to write a `run_sparql` query against it. It is NOT a prerequisite for readable data: `query_cube_observations` fetches the structure itself and resolves labels on its own. Note that this result reports only *whether* a dimension has a…
list_publishersread-onlyList the federal bodies that publish cubes, with cube counts. Returns creator URIs you can pass to `search_cubes` to restrict a search to one authority.
query_cube_observationsread-onlyRead the actual data points of a cube, with codes resolved to labels. This is phase 2. Values are returned keyed by human-readable dimension names, and coded dimension values (e.g. region "1805") are replaced by their labels (e.g. "Alpennordhang") unless you turn that off. For large cubes this reads only the first `limit` observations. LINDAS has no cheap way to filter observations server-side by arbitrary dimension value, so heavy analytical slicing belongs in `run_sparql`. Args: cube_uri: A cube URI from `search_cubes`. language: Language for labels. limit: Maximum observation…
resolve_municipalityread-onlyResolve a Swiss municipality to its LINDAS URI and BFS number. The BFS commune number is the join key across the whole portfolio: the same number identifies the municipality in swiss-statistics-mcp, zurich-opendata-mcp and any cube that references a place. In LINDAS the URI is literally ld.admin.ch/municipality/<BFS>. Args: name_or_bfs: A municipality name ("Zürich") or a BFS number ("261"). language: Language for the name.
run_sparqlread-onlyRun a raw SPARQL SELECT query. Advanced escape hatch — use sparingly. Prefer the structured tools. This exists for analytical queries the guarded tools cannot express (cross-cube joins, aggregations, custom filters). Guardrails, learned from probing: LINDAS times out on unanchored scans, so always anchor on a known class such as `?x a <https://cube.link/Cube>`. A bare `SELECT * WHERE { ?s ?p ?o }` will time out. This tool caps the result at 500 rows and the runtime at 30 seconds. Args: query: A complete SPARQL SELECT query, including its own PREFIX lines.
search_cubesread-onlyFind statistical data cubes in LINDAS by topic. The entry point. Returns cube URIs you then pass to `get_cube_structure`. By default only the newest published version of each cube is returned; set `latest_only=False` to see every version. **Check `truncated` before you conclude anything from the result.** `returned` alone cannot tell a complete answer from a first page. - `truncated: false` — `cubes` holds every cube that matched. You may say so. - `truncated: true` — more cubes matched than you got back, or that could not be ruled out cheaply. Do NOT report the result as the complete set…
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- Weekly downloads
- 49
- Last commit
- Sep 26, 2026 (1 month ago)
- Last release
- Sep 19, 2026 (1 month ago)
- Last package publish
- Sep 19, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026) and the package registry.
Details
- Registry name
io.github.malkreide/lindas-mcp- Version
- 0.3.0
- Auth
- No auth
- Packages
- pypi lindas-mcp
- License
- MIT
- Repository
- github.com/malkreide/lindas-mcp
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
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Cite this page
Lindas MCP. Agent Mart. https://agentmart.dev/connectors/malkreide-lindas-mcp (last updated 2026-10-24)