"How to Create Looker Dashboards" matching MCP servers:

Enables an AI assistant to explore BigQuery datasets, run read-only queries and create views, then build and refine dashboards in the Looker Studio editor — charts, text, shapes, themes and exact layouts — verifying the result with screenshots. Write actions are gated behind explicit configuration, dry-run and audit logging.

Automates Looker Studio dashboards using Playwright, enabling creation, modification, screenshots, and exports.

An MCP server for managing OpenSearch Dashboards, enabling AI assistants to create, manage, and inspect dashboards, visualizations, saved objects, and plugin features.

Provides over 60 administrative tools for managing users, groups, roles, schedules, alerts, and content access within Looker through the Model Context Protocol. It enables full administration of Looker environments, including permission management and system configuration.

Provides MCP tools to perform Looker health checks (health_pulse, health_analyze, health_vacuum) via the MCP Toolbox connector.

Enables AI clients like Claude to read and manage Microsoft To Do task lists and tasks via the Microsoft Graph API, running locally over stdio with secure token storage.

Enables LLM clients to interact with OpenSearch Dashboards, including reading saved objects, listing tenants and index patterns, and querying logs through the Dashboards API.

A Model Context Protocol server for interacting with Lightdash, enabling AI assistants to discover data, create charts, and manage dashboards programmatically.

A Model Context Protocol server that gives LLM clients full access to your AppDynamics monitoring data — plus the ability to create and manage dashboards and health rules.

An MCP server that generates and edits images using OpenAI's GPT Image model, allowing users to create images from text descriptions and edit existing images through natural language.

Renders 45+ interactive chart types, dashboards, and KPI widgets directly inside AI conversations. Supports drill-down, live API polling, 20 themes, and one-click export to PNG, PowerPoint, and A4 documents.

Enables automatic collection and AI analysis of Slack messages to create organized Notion pages, supporting custom analysis directions like meeting minutes, issue extraction, and topic classification.

Enables AI assistants to search Elasticsearch logs, retrieve log details, analyze service health, scan local codebases for APIs, and create Kibana dashboards.

Enables AI to create and manage Apache Superset dashboards, including adding charts and native filters from datasets.

Production-ready TypeScript SDK with MCP server for creating and managing Lark/Feishu dashboards via REST API. Enables Claude to create charts, metrics, views, and text blocks with type-safe fluent API and batch operations support.

Provides AI assistants direct access to Looker through a standard MCP interface, enabling querying the semantic model, managing content, editing LookML, and administering users.

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Enables AI assistants to create Evidence reports and dashboards by providing tools to query database schema, read documentation, edit pages, and debug code.

Enables two LLMs to play Tic-Tac-Toe against each other autonomously using a shared tool and an SSE relay. The server facilitates agent-to-agent communication by holding tool responses until the opponent makes a move, managing the game state in real-time.

Automates the conversion of Figma designs into TypeScript React components and integrates with GitHub to create pull requests for the generated code. It includes visual regression testing with Playwright and accessibility validation to ensure implementations match the original designs.