"Access GEO Biomedical Datasets" matching MCP servers:

An MCP server that gives AI agents access to configured databases (PostgreSQL, MySQL, Redshift, SQL Server) with SSH/AWS SSM tunnels, pluggable secret providers, and strict per-instance isolation.

An MCP (Model Context Protocol) server that lets AI agents manage Power BI workspaces, datasets, and refreshes via natural language.

A Python MCP server that retrieves and caches BigQuery metadata (datasets, tables, columns) and enables secure SQL query execution with cost control, file export, and keyword search.

A community MCP server for Cisco Secure Access that exposes the Secure Access REST API to AI clients as a curated catalog of tools for Admin, Deployments, Investigate, Policies, and Reports.

Enables natural language interaction with AWS QuickSight for building, editing, and managing analyses, datasets, and dashboards, including chart creation, SQL updates, and QA verification.

MCP server for Preset (managed Apache Superset). Manage dashboards, charts, and datasets from Claude Code and other LLM agents.

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

Enables management and interaction with the Ultralytics Platform, including browsing projects/datasets/models, starting training, running predictions, and creating exports.

An MCP server that enables AI models to access user geolocation information through EdgeOne Pages Functions.

Enables interaction with Azure Data Factory instances, allowing users to list, read, create, update, and trigger pipelines, datasets, linked services, and runs through natural language.

Enables AI agents to query BigQuery ecommerce datasets like TheLook via guarded, read-only SQL tools (dry_run_sql and execute_sql), with benchmarked performance over wiki-style documentation lookup.

Enables AI models to retrieve user geolocation information through EdgeOne Pages Functions. Provides access to location data via the Model Context Protocol for integration with large language models.

Enables LLMs to explore BigQuery datasets and tables, run safe read-only queries, and optionally perform vector search using BigQuery embeddings.

This project is intended as a both MCP server connecting to Kubernetes and a library to build more servers for any custom resources in Kubernetes.

Enables large language models to retrieve user geolocation data using EdgeOne Pages Functions. It provides a dedicated tool to fetch location information in JSON format through the Model Context Protocol.

Enables AI assistants to interact with Rockfish's machine learning platform through comprehensive API access. Supports managing databases, worker sets, workflows, models, projects, and datasets for ML operations.

Read-only access to MySQL databases with query sanitization, Cloud SQL Proxy support, and remote HTTP deployment.

Enables secure, read-only querying of Google BigQuery datasets through a stateless MCP server with OAuth 2.1 authorization, designed for integration with Atlassian Rovo.

An MCP server that exposes Azure Data Factory operations as tools any LLM can call — trigger pipelines, monitor runs, inspect datasets, and get factory health summaries through natural language.

Enables AI models to retrieve user geolocation information using EdgeOne Pages Functions through the Model Context Protocol, providing location data in JSON format for context-aware applications.