# GraphQL

The LeanIX MCP integration project provides an MCP server that connects LeanIX with AI assistants. It exposes the functions of LeanIX's GraphQL API through 5 MCP tools, including viewing statistics, searching, subscription management, creating, and updating data sheets.

This project implements an MCP server for interacting with Adobe Commerce, supporting interaction with Adobe Commerce via the GraphQL API and providing schema query and operation writing functions.

MCP GraphQL is a GraphQL API service that provides a flexible and efficient data query and operation interface for the mission control platform

The MCP server project of Catalysis Hub provides programmatic access to catalysis research data through a GraphQL interface, supports complex queries and variable parameterization, and follows the MCP protocol to achieve interoperability with AI agents.

The Morpho API MCP Server is a service based on the Model Context Protocol, providing a tool for querying the Morpho GraphQL API to obtain information such as market data, vaults, positions, and historical yields.

mcp-graphql-forge is a lightweight, configuration-driven MCP server that defines GraphQL queries as modular tools through YAML files, enabling agents to interact with APIs purposefully.

This project is a Vector GraphQL MCP server that provides tools for querying data on the Vector trading platform, including functions such as leaderboards, trader profiles, popular tokens, and token broadcasts.

The Shopify MCP server is a tool that interacts with Shopify store data via the GraphQL API. It provides management functions for products, customers, orders, blogs, and articles, supporting operations such as searching, creating, and updating. It is designed specifically for optimization with AI language models.

Shopify Development Tool MCP Server

An MCP server that provides a Morpho API query tool, supporting GraphQL queries for market data, vaults, positions, etc., and includes data validation and error handling functions.

An unofficial Braintree payment processing MCP server that provides AI assistants with the ability to access Braintree payment services in a structured manner through the GraphQL API, supporting operations such as transaction query and payment creation.

This project demonstrates how to integrate an AI agent powered by Azure OpenAI with the Microsoft Fabric data warehouse through the Model Context Protocol (MCP), using GraphQL as a common data connection layer to achieve bidirectional access to enterprise data.

The MCP server for the Morpho API, providing a toolset for querying market data, vaults, positions, etc.

The Linear MCP Server is a server that implements the Model Context Protocol, used to connect an AI assistant with the GraphQL API of the Linear project management system, supporting functions such as issue tracking and project management.

This is an AWS Amplify Data MCP Server project that allows interaction with the data models of Amplify Gen2 applications through natural language, supports operations such as querying and modifying, and needs to be used with AI assistants like Claude.

This project is a server - side implementation based on the Model Context Protocol (MCP) for connecting to the GraphQL API to access policy data. It is built using the Python SDK and GQL library and supports rapid deployment through the uv tool.

This project is a server implementation based on the Model Context Protocol (MCP) for connecting to the GraphQL API to access policy data. It is built using the Python SDK and the GQL library and supports policy queries in the TrueRAG system.

The Linear MCP Server is a server that implements the Model Context Protocol, used to connect AI assistants to the GraphQL API of the Linear project management system, providing functions such as issue tracking and project management.

An MCP server that provides GraphQL schema exploration services for Large Language Models, supporting the loading, querying, and analysis of GraphQL schema files.

This is a DatoCMS blog example project based on React and GraphQL Request. You can create a project on DatoCMS with one - click deployment and configure the API token using environment variables to run it.