"Automatic Data Visualization Tool (No API Key Required)" matching MCP servers:

Enables AI agents to dynamically spawn, route to, and manage ephemeral containerized sandboxes on Kubernetes without requiring Custom Resource Definitions or cluster-level operators.

An MCP Server that provides access to Google's Cloud Tool Results API, enabling applications to programmatically interact with test results from Firebase Test Lab and mobile app testing through natural language.

Enables AI agents to manage Cloudera Data Visualization resources including groups, users, roles, segments, workspaces, datasets, visuals, connections, and migrations via natural language.

Enables AI agents to discover, request access to, and query data products in Data Mesh Manager, enforcing governance policies while retrieving business data from platforms like Snowflake and Databricks.

Enables intelligent management of Google Cloud Platform infrastructure using Terragrunt, with support for experimental stacks, parallel deployments, resource visualization, cost analysis, and comprehensive infrastructure operations through natural language.

An MCP Server that enables interaction with Google Cloud's Data Loss Prevention (DLP) API, allowing users to discover, classify, and protect sensitive data through natural language commands.

An MCP server with 66+ tools for data engineering, enabling AI assistants to interact with Kafka, databases, AWS, data pipelines, infrastructure, and more.

This MCP server enables users to interact with AWS Amplify Gen2 application data through natural language, allowing AI assistants like Claude to perform operations on Amplify data models using conversational language instead of complex code.

Enables interaction with AWS Amplify Gen2 application data through natural language, allowing AI assistants to query, create, update, and delete records using conversational commands with Cognito authentication.

Code Mode MCP server for the OVH API. Two tools (search + execute) give LLMs access to all OVH endpoints via sandboxed JavaScript.

Generates and deploys Cloudera Data Engineering (CDE) Airflow jobs from ODCS data contracts, validating live table data in CDW against schema and data-quality rules without WAP staging.

MCP server exposing Cursor's HTTP APIs for managing Cloud Agents, Team/Org Admin, Analytics, Bugbot, AI Code Tracking, and Fleet with read-only and read-write modes.

Linked API MCP server connects your LinkedIn account to AI assistants like Claude, Cursor, and VS Code. Ask them to search for leads, send messages, analyze profiles, and much more – they'll handle it through our cloud browser, safely and automatically.

A Model Context Protocol server that bridges Google Sheets, Azure AI, and MQTT APIs to facilitate spreadsheet code generation, AI chat integration, and comprehensive IoT device management. It allows users to perform CRUD operations on spreadsheets, integrate Azure AI models, and handle real-time MQTT messaging for IoT applications.

The Hostinger MCP server enables seamless integration of Hostinger’s API with AI tools. This server exposes Hostinger API endpoints as callable tools, allowing AI models to fetch live data or perform real-time actions on hosting infrastructure.

Provides a modular MCP server to integrate with IBM Data Intelligence services, enabling secure interaction with data intelligence capabilities via tools and skills.

Enables interaction with Nullplatform's API endpoints for managing deployments, scopes, services, and other cloud resources through natural language using the official OpenAPI specification.

Provides secure integration between MCP clients and IBM Data Intelligence services, enabling AI assistants to interact with IBM's data intelligence capabilities for data management and analytics operations.

A governed MCP server enabling LLM agents to query BigQuery, inspect GCS, trigger Airflow DAGs, and run data-quality checks with built-in security guardrails like allow-lists, cost ceilings, and audit trails.

MCP server for Microsoft Fabric REST APIs that enables data engineers and analysts to manage Fabric components using AI assistants.