Altinity MCP vs Apache Superset

Choosing between Altinity MCP and Apache Superset? Both are sql MCP servers, but they lean into different workflows. This page focuses on where each one is actually stronger, not just raw counts.

Choose Altinity MCP for

Enabling AI agents to perform ad-hoc data analysis on production ClickHouse clusters.

Choose Apache Superset for

Automating the creation and deployment of BI dashboards for new projects.

Altinity MCP

23by Altinitystdio

Interact with ClickHouse databases through the Model Context Protocol

Best for Enabling AI agents to perform ad-hoc data analysis on production ClickHouse clusters.

A Model Context Protocol (MCP) server that provides tools for interacting with ClickHouse® databases. This server enables AI assistants and other MCP clients to query, analyze, and interact with ClickHouse® databases through a standardized protocol.

What it does

  • Support for STDIO, HTTP, and SSE transport protocols
  • OAuth 2.0 and JWE-based authentication support
  • Automatic generation of MCP tools from ClickHouse views
  • Dynamic resource discovery for database schemas
  • TLS encryption for secure database and server connections

Available tools (3)

list_tablesList all tables available in the ClickHouse database
describe_schemaRetrieve the schema definition for a specific table
execute_queryExecute a SQL query against the ClickHouse database

Setup requirements

Requires 3 environment variables: CLICKHOUSE_HOST, MCP_TRANSPORT, MCP_PORT. Available via Docker and Helm and Source.

View Altinity MCP details
vs

Apache Superset

21by bintocherhttp

Full-featured MCP server for Apache Superset with 128+ tools

Best for Automating the creation and deployment of BI dashboards for new projects.

A comprehensive Model Context Protocol (MCP) server for Apache Superset. Gives AI assistants (Claude, GPT, etc.) full control over your Superset instance — dashboards, charts, datasets, SQL Lab, users, roles, RLS, and more — through 128+ tools.

What it does

  • 128+ MCP tools covering the complete Superset REST API
  • Full security management including users, roles, RLS, and groups
  • Built-in safety validations with confirmation flags and DDL/DML blocking
  • Dashboard native filter management and automatic datasource access synchronization
  • Support for multiple transport options including HTTP, SSE, and stdio

Available tools (5)

dashboard_crudPerform create, read, update, and delete operations on Superset dashboards.
chart_crudManage Superset charts including creation, retrieval, and updates.
sql_lab_queryExecute queries in SQL Lab, format SQL, and export results.
security_managementManage users, roles, groups, and Row Level Security (RLS) policies.
permissions_auditPerform a comprehensive audit of user permissions and access matrices.

Setup requirements

Requires 3 environment variables: SUPERSET_URL, SUPERSET_USERNAME, SUPERSET_PASSWORD. Available via uvx and pip.

View Apache Superset details

Biggest differences

CompareAltinity MCPApache Superset
Best forEnabling AI agents to perform ad-hoc data analysis on production ClickHouse clusters.Automating the creation and deployment of BI dashboards for new projects.
StandoutSupport for STDIO, HTTP, and SSE transport protocols.128+ MCP tools covering the complete Superset REST API.
SetupDocker or Helm, needs 3 env vars, stdio transport.uvx or pip, needs 3 env vars, http transport.
Transportstdiohttp
Community23 GitHub stars21 GitHub stars

Bottom line

Pick Altinity MCP if...

Enabling AI agents to perform ad-hoc data analysis on production ClickHouse clusters. Support for STDIO, HTTP, and SSE transport protocols. Docker or Helm, needs 3 env vars, stdio transport.

Pick Apache Superset if...

Automating the creation and deployment of BI dashboards for new projects. 128+ MCP tools covering the complete Superset REST API. uvx or pip, needs 3 env vars, http transport.

The real split here is workflow fit, not raw counts. Altinity MCP: Enabling AI agents to perform ad-hoc data analysis on production ClickHouse clusters. Apache Superset: Automating the creation and deployment of BI dashboards for new projects. Public traction is fairly close (23 vs 21 stars).

Keep the comparison logic in memory

Once you pick a server, keep the decision notes, setup rules, and docs in Conare so your agent can apply them again without re-explaining.

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How to set up Altinity MCP → How to set up Apache Superset →