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134,751 tools. Last updated 2026-05-25 19:44

"SPARQL query language and tools" matching MCP tools:

  • Execute SPARQL queries on Wikidata to retrieve structured data in JSON format, enabling data extraction and analysis from the knowledge base.
    MIT
  • Execute read-only SPARQL queries on GraphDB repositories to retrieve data in JSON, XML, or CSV formats. Specify graphs and query parameters for precise results.
    GPL 3.0
  • Execute SPARQL queries to retrieve structured data from Wikidata, supporting JSON, CSV, and XML formats with configurable result limits.
    MIT
  • Execute SPARQL SELECT or CONSTRUCT queries to search and retrieve data from knowledge graphs, returning results as JSON for data analysis and integration.
  • Execute SPARQL queries to retrieve and analyze data from databases accessible via SQLAlchemy, with customizable options for format, timeout, and URL.
    MIT

Matching MCP Servers

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    Enables users to write and execute SPARQL queries against open-access SPARQL endpoints by providing relevant query examples, schema information, and endpoint metadata. Supports querying biological databases like UniProt and Bgee through natural language interactions.
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    MIT
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    Get access to real-time SEO data, including: keyword insights, backlink data, traffic estimates and more. Allow AI tools and Large Language Models (LLMs) to tap into the real-time SEO Review Tools API with natural language commands.
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    MIT

Matching MCP Connectors

  • Query and retrieve language data using a GraphQL API. Input a code parameter to access specific language information efficiently.
    MIT
  • Retrieve LangSmith runs for analytics and export using flexible filters, query language, and trace-level constraints to explore traces, tools, and chains.
    MIT
  • Find specific ideas in 4.6 million text chunks from classical philosophy and humanities works. Submit a natural language query to retrieve relevant excerpts with metadata.
    MIT
  • Filter Discourse forum topics using a query language to find specific discussions by category, tags, status, dates, engagement metrics, and text content.
    MIT
  • Search restaurants using natural-language dietary queries. Returns ranked results with VeganScore, evidence, and confidence estimates, handling insufficient evidence conservatively.
    MIT
  • Convert natural language time descriptions (e.g., '2pm today') into precise time values. Optionally specify a timezone for accurate results.
    MIT
  • Find products by keyword or natural-language query. Returns matching items with price, availability, merchant, and URL.
    MIT
  • Ask natural language questions about structured records. Use a sift identifier to query extracted data and get answers directly.
    MIT
  • Query the Lorg Historical Archive to find events, contributions, and patterns across AI agent intelligence using natural language search.
    MIT
  • Execute Artifactory Query Language (AQL) queries to search for artifacts, builds, or entities in JFrog Artifactory. Supports complex criteria, sorting, and pagination for precise artifact discovery.
    Apache 2.0