"SPARQL query language and tools" matching MCP servers:

Enables AI agents to query multi-cloud costs, inventory, waste, and commitments across AWS, GCP, Cloudflare, and OVH through read-only MCP tools.

An MCP server for Snowflake that enables table discovery, metadata inspection, and SQL query execution through natural language, supporting password, key-pair, and OAuth authentication.

Enables LLMs to query Azure service pricing via the public Azure Retail Prices API, with tools for searching prices, estimating costs, comparing regions, and listing services.

Enables AI agents to explore Oracle Fusion Cloud schema metadata, run pre-built BI Publisher reports with bind parameters, and validate results against trusted ground truth.

Lets coding agents query architecture graphs parsed from infrastructure-as-code and create, validate, and share interactive diagrams through MCP tools.

Enables AI assistants to query and analyze Alibaba Cloud SLS logs using natural language, supporting multiple log sources like Function Compute and ECS. It provides tools for searching logs, performing SQL analysis, and visualizing log distributions directly within Cursor or Claude.

Enables AI agents to securely access and query Prisma SD-WAN operational data for inventory, health checks, topology analysis, and policy verification through natural language.

Enables managing and debugging Azure Logic Apps through natural language, with tools for listing, debugging, creating, updating, and deleting workflows.

Enables coding agents to inspect and change Cloudflare zones, DNS, settings, analytics, Workers, Pages, storage, tunnels, and Email Routing. Read tools run without prompting, while write tools are gated by the host's permission rules.

Enables read-only querying of Azure Log Analytics and Azure Resource Graph through MCP, supporting KQL queries, workspace discovery, and resource inventory exploration with Azure RBAC authentication.

Enables LLM agents to query and explore Cloudera Hive virtual warehouses through tools like list_databases, list_tables, describe_table, get_table_sample, and execute_query with read-only safety.

Enable AI assistants to explore and query your Steampipe data!

Provides tools to list, create, power on/off, and delete VMs on vCenter or ESXi hosts using natural language.

Governed Kubernetes operations for AI agents with 15 MCP tools, audit logging, policy engine, and safety features.

Enables LLM clients to query AWS CloudWatch Logs and Alarms through MCP tools.

Enables AI assistants to query Apache Iceberg tables on S3 via AWS Glue Data Catalog using DuckDB as the embedded query engine, supporting columnar Arrow reads with no data movement.

Enables AI agents to discover accessible quantum instances and backends, simulate circuits locally, preview transpiled circuits, submit Sampler or Estimator jobs, and inspect or cancel runtime jobs via typed MCP tools.

Fetches AWS What's New announcements by month, allowing users to query announcements for a specific year/month via MCP tools.

Governed AI-ops MCP server for Nutanix Prism Central v4 REST API, offering 47 read/write tools for clusters, VMs, storage, network, catalog, data protection, alerts, and LCM upgrades with built-in audit, budget, and risk-tier governance.

Enables deploying, managing, and interacting with Dokploy applications via natural language using three core MCP tools: search, execute, and list_profiles.

A Model Context Protocol server for interacting with MongoDB Databases and MongoDB Atlas. It enables AI assistants to query, manage, and operate on MongoDB data and Atlas resources through natural language.

This MCP server enables AI assistants to interact with a BT Panel server through natural language, allowing users to query logs, manage websites, and monitor system status without manual panel login.

Enables AI assistants to query Azure Data Explorer using natural language, eliminating the need to write KQL.

A Model Context Protocol server that enables interaction with Helm charts on Artifacthub, providing tools for retrieving chart information, default values, and templates through natural language queries.

Exposes Salesforce CLI functionality to LLM tools like Claude Desktop, allowing AI agents to execute Salesforce commands, manage orgs, deploy code, and query data through natural language.

A set of tools for working with Omilia Cloud Platform that helps manage miniapps, orchestrator apps, and dialog logs through an MCP server.

A server that enables LLMs like Claude to query AWS DynamoDB databases through natural language requests, supporting table management, data querying, and schema analysis.

An MCP server for managing and monitoring Docker, Docker Compose, and Kubernetes environments alongside Azure Application Insights. It enables advanced log filtering, container lifecycle management, and querying of cloud application traces and metrics.

Enables conversational management of Naver Cloud Platform infrastructure through Claude Desktop, allowing users to create, query, and manage cloud resources like servers, VPCs, load balancers, and databases using natural language.

Enables natural language interaction with Connhex IoT platform APIs for managing devices, telemetry, rules, and resources via MCP tools.