M

Malloy MCP Server

Malloy MCP server implementation for executing Malloy queries and managing resources, providing functions such as metadata access, error handling, and type safety.
2.5 points
12

What is the Malloy MCP Server?

The Malloy MCP Server is a service implementation based on the Model Context Protocol (MCP), specifically designed to execute Malloy queries and manage related resources. It provides a standardized interface to handle data query requests and returns structured results.

How to use the Malloy MCP Server?

You can start the server with simple Python code, and then use the provided tools to execute Malloy queries or access project resources. The server supports flexible configuration options that can be adjusted through environment variables.

Use cases

Suitable for enterprise environments that need to centrally manage Malloy queries and data models, or for building Malloy-based data analysis platforms. Particularly suitable for scenarios that require a standardized query interface and unified resource management.

Main features

Malloy query executionExecute Malloy queries through a standardized MCP interface, supporting complex data analysis operations
Resource metadata accessProvide a unified access interface to project, package, and model metadata
Detailed error handlingProvide error reports containing context information for easy problem diagnosis
Flexible configurationSupport configuring server behavior through environment variables to adapt to different deployment environments

Advantages and limitations

Advantages
Standardized MCP protocol implementation, compatible with other Malloy tools
Type-safe implementation, reducing runtime errors
Comprehensive test coverage to ensure stability
Detailed error information and context for easy debugging
Limitations
Requires a Python environment to run
Currently only supports the Malloy query language
Resource management functions are relatively basic

How to use

Install the server
Install the Malloy MCP Server package using pip or uv
Start the server
Create a Python script to import and run the server
Configure the server
Configure server behavior through environment variables, such as setting the URL of the Malloy Publisher
Execute a query
Use the provided tools to execute Malloy queries

Usage examples

Simple data queryQuery all fields from the user table
Group statisticsCount the number of users grouped by state
Access model metadataGet metadata information for a specific model

Frequently Asked Questions

How to change the port that the server listens on?
Does it support other query languages?
How to extend the functionality of the server?
What if the error information is not detailed enough?

Related resources

Malloy official documentation
Official documentation for the Malloy query language
GitHub repository
Project source code and issue tracking
MCP protocol specification
Technical specification for the Model Context Protocol
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
Featured MCP Services
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
85
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
140
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
829
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
564
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
282
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
753
4.8 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIbase