Skip to content
MCP profile

Github Cloudquery Mcp

CloudQuery MCP server for asset inventory data. Supports CLI, PostgreSQL, and Platform modes.

Developer ToolsPackagemcpbExternal
Last updated
March 16, 2026
Visibility
Public
ByRegistry

About This MCP Server


CloudQuery MCP server for asset inventory data. Supports CLI, PostgreSQL, and Platform modes. This MCP server enables AI assistants like Claude to seamlessly interact with Github Cloudquery, providing structured access to its functionality through the Model Context Protocol (MCP).

Key Capabilities:

  • Execute database queries and retrieve results
  • Manage database schemas and migrations
  • Monitor database performance and health
  • Handle data import/export operations

Common Use Cases:

  • Querying and analyzing data without writing raw SQL
  • Automating database maintenance tasks
  • Building data-driven applications with AI assistance
  • Monitoring and optimizing database performance

How It Works: Github Cloudquery integrates with AI coding assistants and chat interfaces through the standardized MCP protocol. Once configured, your AI assistant can directly invoke Github Cloudquery's tools, enabling natural language interaction with its features without manual API calls or custom integrations.

Technical Details: Server type: Package · Language: mcpb

Specifications

Status
live
Industry
Developer Tools
Category
General
Server type
Package
Language
mcpb
Verified
Yes

Hosting


Hosting Options

  • Package

Performance


Usage


Quick Reference


Name
Github Cloudquery Mcp
Function
CloudQuery MCP server for asset inventory data. Supports CLI, PostgreSQL, and Platform modes.
Transport
Package
Language
mcpb
Source
External (Registry)
License
Unknown
Get started

Ready to integrate this MCP server?

Book a demo to see how this server fits your workflow, or explore the full catalog.

Related MCP Servers


Catalog Workspace

Discover agents, MCP servers, and skills in one governed surface

Use structured catalog views to compare readiness, ownership, integrations, and deployment posture before rollout.