Sparql
FreeNot checkedMCP server exposing SPARQL query functionalities for LLMs, enabling query execution, validation, and graph exploration across SPARQL endpoints.
About
MCP server exposing SPARQL query functionalities for LLMs, enabling query execution, validation, and graph exploration across SPARQL endpoints.
README
mcp-sparql — MCP server exposing SPARQL query functionalities for LLMs.
mcp-name: io.github.daedalus/mcp-sparql
Install
pip install mcp-sparql
Usage
As an MCP Server
Add to your MCP configuration (e.g., ~/.config/claude/mcp.json):
{
"mcpServers": {
"mcp-sparql": {
"command": "mcp-sparql"
}
}
}
Available Tools
| Tool | Description |
|---|---|
sparql_query |
Execute SPARQL SELECT queries (table or JSON output) |
sparql_ask |
Execute SPARQL ASK queries (boolean result) |
sparql_construct |
Execute SPARQL CONSTRUCT queries (Turtle or JSON-LD) |
sparql_describe |
Execute SPARQL DESCRIBE queries (Turtle or JSON-LD) |
sparql_validate |
Validate SPARQL query syntax without executing |
sparql_list_graphs |
List named graphs on a SPARQL endpoint |
sparql_get_prefixes |
Get common prefixes for a SPARQL endpoint |
Examples
Query Wikidata:
sparql_query:
endpoint: "https://query.wikidata.org/sparql"
query: "SELECT ?item ?itemLabel WHERE { ?item wdt:P31 wd:Q5 . ?item rdfs:label ?itemLabel . FILTER(LANG(?itemLabel) = 'en') } LIMIT 5"
Check if an entity exists:
sparql_ask:
endpoint: "https://query.wikidata.org/sparql"
query: "ASK { wd:Q42 wdt:P31 wd:Q5 }"
Validate a query:
sparql_validate:
query: "SELECT ?s WHERE { ?s ?p ?o }"
List named graphs:
sparql_list_graphs:
endpoint: "https://query.wikidata.org/sparql"
Get common prefixes:
sparql_get_prefixes:
endpoint: "https://query.wikidata.org/sparql"
Resources
| Resource | URI | Description |
|---|---|---|
| Common Prefixes | sparql://common-prefixes |
Standard SPARQL namespace prefixes |
API
sparql_query
Execute a SPARQL SELECT query.
Parameters:
endpoint(str): SPARQL endpoint URLquery(str): SPARQL SELECT querytimeout(int, default=30): Query timeout in secondsoutput_format(str, default="table"): "table" for Markdown, "json" for JSONheaders(dict, optional): HTTP headers for authenticationmax_rows(int, default=1000): Maximum result rows
sparql_ask
Execute a SPARQL ASK query. Returns "true" or "false".
sparql_construct
Execute a SPARQL CONSTRUCT query. Returns RDF triples.
Additional parameters:
output_format(str, default="turtle"): "turtle" or "json"
sparql_describe
Execute a SPARQL DESCRIBE query. Returns RDF description.
sparql_validate
Validate SPARQL query syntax without executing.
sparql_list_graphs
List available named graphs on a SPARQL endpoint.
sparql_get_prefixes
Get commonly used prefixes for a SPARQL endpoint.
Development
git clone https://github.com/daedalus/mcp-sparql.git
cd mcp-sparql
pip install -e ".[test]"
# run tests
pytest
# format
ruff format src/ tests/
# lint + type check
prospector --with-tool ruff --with-tool mypy --with-tool pylint src/
Installing Sparql
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/daedalus/mcp-sparqlFAQ
Is Sparql MCP free?
Yes, Sparql MCP is free — one-click install via Unyly at no cost.
Does Sparql need an API key?
No, Sparql runs without API keys or environment variables.
Is Sparql hosted or self-hosted?
A hosted option is available: Unyly runs the server in the cloud, no local setup required.
How do I install Sparql in Claude Desktop, Claude Code or Cursor?
Open Sparql on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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