A Model Context Protocol server implementation that facilitates AI assistants in interacting with GraphQL APIs through querying and introspection tools. It supports executing GraphQL queries, retrieving schema information, and managing endpoint configurations, making it easier for developers to integrate GraphQL functionalities into AI systems.
Added on:
Created by:
Mar 30 2025
A Model Context Protocol server implementation that facilitates AI assistants in interacting with GraphQL APIs through querying and introspection tools. It supports executing GraphQL queries, retrieving schema information, and managing endpoint configurations, making it easier for developers to integrate GraphQL functionalities into AI systems.
Added on:
Created by:
Mar 30 2025
saewoohan
Featured
What is GraphQL MCP server for AI assistants?
This MCP server offers robust capabilities for AI assistants to interact with GraphQL APIs effectively. It includes tools like graphql_query for executing complex queries with customizable headers, variables, and endpoint configurations, and graphql_introspect for schema exploration including deprecated types. It supports command-line setup with options for timeout, query complexity, and custom headers. Licensed under MIT, it enables seamless integration into various development environments, facilitating automation, data retrieval, and schema management within AI workflows for both simple and advanced use cases.
Who will use GraphQL MCP server for AI assistants?
- AI developers
- Backend engineers
- API integrators
- Researcher in AI and data
- DevOps for GraphQL API management
How to use the GraphQL MCP server for AI assistants?
- Step 1: Install the MCP server using npm or the preferred method.
- Step 2: Configure the server with desired endpoint and header options if necessary.
- Step 3: Use the provided tools to execute GraphQL queries via CLI or integrated environment.
- Step 4: Use the introspect tool to explore or verify the GraphQL schema.
- Step 5: Integrate the MCP tools within AI assistant workflows for automated data fetch and schema management.
GraphQL MCP server for AI assistants's Core Features & Benefits
The Core Features
- graphql_query: Execute GraphQL queries with full customization.
- graphql_introspect: Retrieve and explore GraphQL schema details.
The Benefits
- Enables AI assistants to access and manipulate GraphQL APIs seamlessly.
- Supports detailed schema exploration for better API understanding.
- Configurable request options for flexibility and control.
- Open-source and licensed under MIT for easy adoption.
GraphQL MCP server for AI assistants's Main Use Cases & Applications
- Automated data retrieval for AI-based analytics.
- Schema discovery for API integration testing.
- Automating GraphQL queries within AI-powered workflows.
- Building AI assistants capable of dynamic API interactions.
FAQs of GraphQL MCP server for AI assistants
Developer
- saewoohan
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