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608,220 tools. Updated 2026-09-24 22:43

"SPARQL query language and tools" matching MCP tools:

  • Execute raw SPARQL queries against the EU Publications Office endpoint to retrieve legal documents when standard tools cannot express your search. Requires knowledge of the CDM ontology.
    MIT
  • Run raw SPARQL SELECT queries for advanced analyses standard tools can't handle: cross-cube joins, aggregations, custom filters. Caps rows at 500 and runtime at 30 seconds.
    MIT

Matching MCP Servers

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    MCP server exposing SPARQL query functionalities for LLMs, enabling query execution, validation, and graph exploration across SPARQL endpoints.
    7
    MIT
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    Enables AI assistants to query the Ubergraph biomedical ontology SPARQL endpoint with tools for custom SPARQL queries, term lookup, search, and hierarchy traversal.
    4
    MIT

Matching MCP Connectors

  • Wikidata SPARQL MCP — Wikidata Query Service

  • Curated index of 221 AI tools across 21 industries. Search by use case, department or pricing tier.

  • Query any public HTTPS SPARQL endpoint to extract data from open data portals like data.europa.eu or Wikidata. Returns results as JSON or Markdown, with automatic row limits and 15-second timeout.
    MIT
  • Search curated SPARQL example queries from UniProt by free-text over descriptions and keyword tags. Find relevant query examples to learn how to query UniProt data.
    MIT
  • Discover Datadog MCP tools by natural language query. Returns matching tool names and descriptions to help you navigate and call the appropriate tool.
    MIT
  • Retrieve the MIE file for a specified RDF database to access its ShEx schema, RDF, and SPARQL examples before querying, ensuring correct SPARQL syntax and database structure.
    MIT
  • Validate SPARQL query syntax to catch errors before execution. Parses queries and reports validity, helping debug issues without running them.
    MIT
  • Search available tools by natural-language query to find the right one for a task. Filter by mode, profile, or risk ceiling to see risk levels and schema summaries, without invoking tools.
    MIT
  • Execute SPARQL SELECT queries against any SPARQL endpoint and retrieve results as a Markdown table or JSON array. Supports custom headers for authenticated endpoints and adjustable timeout for complex queries.
    MIT
  • Retrieve common SPARQL prefixes for an endpoint, including standard and endpoint-specific ones, to simplify query writing.
    MIT
  • Query knowledge graphs using structured, SPARQL, or meaning-based search modes to retrieve analytical reads and expert answers.
    Apache 2.0
  • Execute SPARQL queries on Wikidata to retrieve structured data in JSON format, enabling data extraction and analysis from the knowledge base.
    MIT
  • Search available Airflow MCP tools using natural language queries. Filter by category and limit to find the right tool.
    MIT
  • Find dbt, quality, or meta tools by describing what you need in plain language, then get the right tool for your task.
    MIT
  • Find MLflow MCP tools by natural language query. Returns matching tool names and descriptions to navigate the 77+ tool surface efficiently.
    MIT
  • Check if a pattern exists in SPARQL data by running an ASK query, returning true or false.
    MIT