
Claude Desktop
Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.

pab1it0/adx-mcp-server
A Model Context Protocol (MCP) server that enables AI assistants to execute KQL queries and explore Azure Data Explorer (ADX/Kusto) databases through standardized interfaces.
docker run --rm -i -e ADX_CLUSTER_URL -e ADX_DATABASE -e AZURE_TENANT_ID -e AZURE_CLIENT_ID -e ADX_TOKEN_FILE_PATH adx-mcp-server{
"mcpServers": {
"adx": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-e",
"ADX_CLUSTER_URL",
"-e",
"ADX_DATABASE",
"-e",
"AZURE_TENANT_ID",
"-e",
"AZURE_CLIENT_ID",
"-e",
"ADX_TOKEN_FILE_PATH",
"adx-mcp-server"
],
"env": {
"ADX_CLUSTER_URL": "<ADX_CLUSTER_URL>",
"ADX_DATABASE": "<ADX_DATABASE>",
"AZURE_TENANT_ID": "<AZURE_TENANT_ID>",
"AZURE_CLIENT_ID": "<AZURE_CLIENT_ID>",
"ADX_TOKEN_FILE_PATH": "<ADX_TOKEN_FILE_PATH>"
}
}
}
}ADX_CLUSTER_URLADX_DATABASEAZURE_TENANT_IDAZURE_CLIENT_IDADX_TOKEN_FILE_PATHADX_MCP_SERVER_TRANSPORTADX_MCP_BIND_HOSTADX_MCP_BIND_PORTThis server provides seamless access to Azure Data Explorer and Eventhouse (in Microsoft Fabric) clusters, allowing AI assistants to query and analyze your data using the powerful Kusto Query Language.
Execute KQL queries - Run arbitrary KQL queries against your ADX database
Structured results - Get results formatted as JSON for easy consumption
List tables - Discover all tables in your database
View schemas - Inspect table schemas and column types
Sample data - Preview table contents with configurable sample sizes
Table statistics - Get detailed metadata including row counts and storage size
DefaultAzureCredential - Supports Azure CLI, Managed Identity, and more
Workload Identity - Native support for AKS workload identity
Flexible credentials - Works with multiple Azure authentication methods
execute_query
Execute a KQL query against Azure Data Explorer
list_tables
Discovery
get_table_schema
Discovery
sample_table_data
Discovery
get_table_details
Discovery
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:

supabase-community/supabase-mcp
The Model Context Protocol (MCP) standardizes how Large Language Models (LLMs) talk to external services like Supabase. It connects AI assistants directly with your Supabase project and allows them to perform tasks like managing tables, fetching config, and querying data. See the full list of tools.

googleapis/genai-toolbox
MCP Toolbox for Databases is an open source Model Context Protocol (MCP) server that connects your AI agents, IDEs, and applications directly to your enterprise databases.

alexander-zuev/supabase-mcp-server
Query MCP is an open-source MCP server that lets your IDE safely run SQL, manage schema changes, call the Supabase Management API, and use Auth Admin SDK — all with built-in safety controls.

MobinX/awesome-mcp-list
This is a continuously updated curated list of MCP servers, covering categories such as browser control, arts and culture, cloud platforms, command line, communication, customer data platforms, databases, developer tools, data science tools, file systems, finance and fintech, gaming, knowledge and memory, location services, marketing, monitoring, search and utilities. Each project includes a GitHub link and star count for quick reference and use.

stuzero/pg-mcp-server
PG-MCP is a server implementation of the Model Context Protocol for PostgreSQL databases. It provides a comprehensive API for AI agents to discover, connect to, query, and understand PostgreSQL databases through MCP's resource-oriented architecture.

bytebase/dbhub
[!NOTE] If you need an enterprise-level database MCP server with built-in guardrails like approval flow, access control, data masking, and audit logging beyond what DBHub offers, check out Bytebase.