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agent-tools

Query SPARQL RDF datasets via the Model Context Protocol.

8|1|Updated Jun 7, 2026
Search Tags:#mcp#agent-tools#sparql#rdf#sparql-update
One-click install
npx skills add https://github.com/sparq-org/sparq --skill agent-tools-sparq-org
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-tools
Source: https://github.com/sparq-org/sparq/tree/main/skills/agent-tools
Command: npx skills add https://github.com/sparq-org/sparq --skill agent-tools-sparq-org

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires sparq_core, sparq_mcp, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a way for LLM/agents to interact with a SPARQL RDF dataset using the Model Context Protocol (MCP), enabling SPARQL queries, dataset schema mining, statistics gathering, and optional SPARQL updates.

Core Features & Use Cases

  • MCP Server for SPARQL: Turns a SPARQL RDF dataset into a Model Context Protocol server for LLM/agent tools.
  • Query and Update Tools: Allows SPARQL queries and optional SPARQL updates with bounded query budgets and read-only by default.
  • Pod Mode: Offers a SolidMcpServer for pod-backed storage with WAC/ACP-authorized session-scoped queries and LDP resource tools.
  • NL-to-SPARQL Loop: Integrates with genai-retrieval for natural language to SPARQL conversion.
  • Use Case: An LLM/agent could use this Skill to query a dataset, understand the schema, and perform updates as needed within a controlled environment.

Quick Start

Initialize and run the agent-tools skill with the following command: `sparq-cli -- query data.ttl turtle 'SELECT ?s ?o WHERE { ?s http://schema.org/name ?o } LIMIT 10'

Frequently Asked Questions about agent-tools

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I expose a SPARQL RDF dataset as tools for an LLM agent?▼

You can expose a SPARQL RDF dataset to an LLM agent by using the Model Context Protocol (MCP) to turn the dataset into a server, enabling schema introspection, SPARQL 1.1/1.2 queries, and optional updates.

Can I use natural language to query an RDF dataset instead of writing SPARQL?▼

Yes, natural language to SPARQL conversion is supported by integrating with genai-retrieval, allowing an LLM agent to translate user requests into SPARQL queries against the RDF dataset.

How do I run a SPARQL query against an RDF dataset using the sparq-cli command line?▼

You can run a SPARQL query by executing the sparq-cli command with your data file, format, and query string, such as: sparq-cli -- query data.ttl turtle 'SELECT ?s ?o WHERE { ?s <http://schema.org/name> ?o } LIMIT 10'.

Does the MCP SPARQL server allow destructive updates to the RDF dataset by default?▼

No, the MCP SPARQL server is read-only by default to ensure dataset safety, but it does offer optional SPARQL updates with bounded query budgets when explicitly enabled.

What dependencies are required to set up an MCP server for SPARQL queries?▼

To set up the MCP server for SPARQL queries, you need the sparq_core crate for dataset handling and the sparq_mcp crate to provide the Model Context Protocol server functionality.

How does SPARQL access work with Solid pod storage and authorization protocols?▼

The server offers a Pod Mode using a SolidMcpServer for pod-backed storage, enabling WAC/ACP-authorized session-scoped queries and LDP resource tools for secure agent interaction.

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