"SPARQL query language and tools" matching MCP servers:

MCP server exposing SPARQL query functionalities for LLMs, enabling query execution, validation, and graph exploration across SPARQL endpoints.

Enables AI assistants to query semantic data via SPARQL endpoints, with support for multiple output formats and caching.

Enables querying Wikidata via SPARQL, with convenience tools for instances, subclasses, properties, and geo-spatial queries.

A generic MCP server that connects AI agents to any SPARQL 1.1 endpoint, enabling querying and updating RDF data across various triple stores.

Enables LLMs to query the RCE Cultural Heritage SPARQL endpoint using ontology context, query validation, and predefined tools.

Provides MSP support tools (ticket search, draft response, KB search, update) with a deterministic security guardrail that refuses to draft responses for security tickets based on content scanning, even if mislabeled.

Lets users manage master data through natural-language conversations with AI agents, enabling schema creation, record capture, validation, search, and query answering via 16 MCP tools backed by local JSON storage.

Connects AI assistants to Tacit building digital twins to query buildings, equipment, sensors, and zones using natural language. It provides tools for exploring Brick-compliant knowledge graphs, fetching historical sensor data, and accessing site documents.

A Model Context Protocol server that enables AI agents to interact with a local Logseq instance, allowing operations like creating pages, managing blocks, and searching across a knowledge graph.

MCP server exposing a codebase's OKF knowledge bundle to Claude Code with three schema-enforced query tools: list_concepts, read_concept, and find_concept_by_resource.

Enables AI assistants to query Justin's resume, including background, projects, skills, and contact details, through natural language.

Central registry for AI tools with vector search and knowledge graph, enabling intelligent tool discovery, chaining, and execution via MCP.

Gives language models a working connection to Apache Jena Fuseki: SPARQL queries and updates, whole named-graph reads and writes over the Graph Store Protocol, bulk RDF loading from a sandboxed directory, and dataset administration such as listing, creating, backing up and compacting datasets. Named graphs are also exposed as MCP resources, and a read-only mode hides the seven writing tools.

A Model Context Protocol server that enables AI agents to interact with local Logseq knowledge graphs, supporting operations like creating/editing pages and blocks, searching content, and managing journal entries.

Implements Anthropic's 'think' tool for Claude, providing a dedicated space for structured reasoning during complex problem-solving tasks that improves performance in reasoning chains and policy adherence.

An MCP server that exposes a curated database of generative AI tools as four tools an AI assistant can query directly, enabling searches without relying on model knowledge.

Enables users to ask plain-language linguistic questions about the Hebrew Bible and receive the corresponding MQL query and results from the BHSA database, with the query always visible for verification and citation.

MCP server that exposes a resume as callable tools and resources, enabling AI agents to query experience, skills, projects, and contact information via natural language.

Enables local semantic search and management of OKF knowledge bundles via MCP tools, with hybrid BM25 and vector search.

Enables AI assistants to query local ChatLab chat history using natural language, with tools for session listing, message retrieval, and analytics.