io.github.daedalus/mcp-sparql

Official

by daedalus · Python

MCP server exposing SPARQL query functionalities for LLMs

Enables SPARQL query execution for semantic data access in AI agents.

Topics

linked-datallmmcprdfsemantic-websparqlwikidata

README.md3 KBView on GitHub

mcp-sparql — MCP server exposing SPARQL query functionalities for LLMs.

mcp-name: io.github.daedalus/mcp-sparql

Install

bash

pip install mcp-sparql

Usage

As an MCP Server

Add to your MCP configuration (e.g., ~/.config/claude/mcp.json):

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:

code

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:

code

sparql_ask:
  endpoint: "https://query.wikidata.org/sparql"
  query: "ASK { wd:Q42 wdt:P31 wd:Q5 }"

Validate a query:

code

sparql_validate:
  query: "SELECT ?s WHERE { ?s ?p ?o }"

List named graphs:

code

sparql_list_graphs:
  endpoint: "https://query.wikidata.org/sparql"

Get common prefixes:

code

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 URL
query (str): SPARQL SELECT query
timeout (int, default=30): Query timeout in seconds
output_format (str, default="table"): "table" for Markdown, "json" for JSON
headers (dict, optional): HTTP headers for authentication
max_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

bash

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/

Install

claude_desktop_config.json

{
  "mcpServers": {
    "mcp-sparql": {
      "command": "uvx",
      "args": [
        "mcp-sparql"
      ]
    }
  }
}