"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 LLM clients to query local RDF/Turtle semantic graph stores using SPARQL and retrieve structured results through an MCP tool interface.

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.

Free Industry 4.0 / IIoT tools, no API key or account: lint MQTT Sparkplug B topics, check a Unified Namespace (UNS) for naming and hierarchy problems, and run an industrial AI-readiness diagnostic for manufacturing digital transformation and smart-factory projects. Works in Claude Code, Codex and any MCP client.

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.

Enables precise measurement of live HTTP and WebSocket services while maintaining an append-only, evidence-based ledger of claims that agents can query with explicit timestamps, staleness indicators, and instructions for re-verification.

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.

Lets any MCP client query a Tableau Cloud knowledge graph in plain language — semantic search, node and edge lookup, lineage tracing, and impact analysis — plus reading and writing the business semantic contexts attached to it. Ships nine read tools and three guarded context-writing tools over stdio with PAT authentication.

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.

A tree whose vocabulary, rules and solvers are data, edited at runtime through generic tree_* tools. Rules go red on the node that breaks them, so it works as a design-dexision ledger on any checked knowledge base.

Enables querying of a fictional CRM knowledge graph of enterprise accounts and their contacts, with tools for listing, searching, retrieving full record details, and running read-only SPARQL queries. Clients such as Claude, ChatGPT, or Adobe Coworker can connect over remote HTTP or local stdio, optionally protected by OAuth.

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

Enables natural language query and ingestion of wiki knowledge bases built from documents, powered by Claude Agent SDK skills.

Exposes a personal portfolio's resume, projects, skills, certifications, and live GitHub repositories as tools for AI assistants to query via natural language.

Enables AI assistants to query, modify, and reason over OWL/TTL/RDF ontology files using natural language, without needing SPARQL or OWL syntax.

An MCP server that enables AI-powered exploration of RDF data and SPARQL querying via RDF4J. It provides tools for executing queries, searching knowledge graph resources, and retrieving schema summaries.