MCP Graphql Forge
M

MCP Graphql Forge

An MCP server that automatically generates AI tools through GraphQL schema introspection, supports parameter validation and dual transport modes, enabling AI tools to reliably access GraphQL APIs.
2.5 points
0

What is MCP GraphQL Forge?

MCP GraphQL Forge is an intelligent middleware that acts as a bridge between AI assistants (such as Claude, Cursor, etc.) and GraphQL APIs. It can automatically analyze the structure of any GraphQL service and then convert these APIs into standardized tools that AI can understand and use. Imagine you have a complex GraphQL API with dozens of query and mutation operations. Traditionally, AI assistants need to understand complex concepts such as GraphQL syntax, parameter types, and return structures to use it. However, MCP GraphQL Forge will automatically complete all these tasks: it analyzes the API structure, creates corresponding tools for each operation, and ensures that AI can call these APIs in a simple and secure way.

How to use MCP GraphQL Forge?

Using MCP GraphQL Forge is very simple and only requires three basic steps: 1. **Configure the connection**: Tell Forge the address of your GraphQL API and authentication information. 2. **Start the service**: Run the Forge server, and it will automatically analyze the API structure. 3. **Connect the AI assistant**: Configure Forge as the MCP server in tools such as Claude and Cursor. Once the configuration is completed, the AI assistant can use your GraphQL API like a normal tool without understanding complex GraphQL syntax.

Use cases

MCP GraphQL Forge is particularly suitable for the following scenarios: - **Content management system integration**: Enable AI to query and manipulate content in the CMS. - **E-commerce platform management**: AI assistants can view product, order, and customer information. - **Project management tools**: AI can access task, user, and project data. - **API testing and exploration**: Quickly test various functions of the GraphQL API. - **Data analysis and reporting**: AI can query data and generate analysis reports. Whether you are a developer, product manager, or data analyst, as long as your service uses GraphQL, you can make the AI assistant your right-hand assistant through Forge.

Main features

Automatic tool generation
Automatically analyze the GraphQL schema and generate corresponding MCP tools for each query and mutation operation. There is no need to manually write any tool definitions. Forge will intelligently handle complex tasks such as parameter validation and return type mapping.
Intelligent field selection
Automatically generate the optimal field selection set for each GraphQL type to avoid circular reference problems. The system will cache the field selection results to ensure that queries of the same type always return a consistent field structure.
Multi-layer parameter validation
Provide three layers of parameter validation: client-side JSON Schema validation, server-side parameter check, and pre-GraphQL execution validation. Ensure that AI calls to the API will not fail due to parameter errors.
Dual transport mode support
Support stdio mode (for AI tool integration) and HTTP mode (for development and testing). The HTTP mode complies with the MCP 2025 Streamable HTTP specification and provides a RESTful interface.
Schema caching management
Support pre-generating and caching the GraphQL schema to avoid re-analyzing the API every time it starts. The cached schema can be used offline to improve startup speed and stability.
Flexible authentication configuration
Support multiple authentication methods, including Bearer Token, API Key, etc. The authentication header information can be easily set through environment variables or configuration files.
Advantages
Zero-configuration tool generation: No need to manually define any tools. Automatically generate from the GraphQL schema.
Intelligent error handling: Multi-layer validation ensures that AI will not encounter unexpected GraphQL errors during calls.
High-performance caching: Field selection and schema caching significantly improve response speed.
Easy integration: Support mainstream AI tools (Claude, Cursor, etc.) and development environments.
Safe and reliable: Built-in parameter validation and input cleaning prevent insecure operations.
Developer-friendly: Provide HTTP mode for easy testing and debugging.
Limitations
Only support GraphQL APIs: Cannot be used for REST or other types of APIs.
Require API access permission: Need to be able to access the GraphQL endpoint for schema analysis.
Complex schemas may generate a large number of tools: Large GraphQL APIs may generate dozens of tools.
Authentication configuration needs to be set manually: The authentication method for each API needs to be configured separately.
Docker support is still under development: It is recommended to use the TypeScript runtime for production deployment.

How to use

Install MCP GraphQL Forge
First, you need to install MCP GraphQL Forge. It is recommended to use npm for installation, and you can also install it with one click through Smithery.
Configure the GraphQL connection
Set environment variables to configure the GraphQL API to connect to. You need to provide the API endpoint address and authentication information (if required).
Start the Forge server
Start the MCP GraphQL Forge server. You can choose stdio mode (for AI tool integration) or HTTP mode (for development and testing).
Configure the AI tool connection
Configure the MCP server connection in AI tools such as Claude and Cursor. Create an mcp.json configuration file and specify the startup command and environment variables of the Forge server.
Start using the AI tool
After the configuration is completed, the AI tool will automatically discover all GraphQL tools generated by Forge. You can directly let the AI use these tools to query or manipulate data.

Usage examples

Content management system integration
Connect the GraphQL API of the Strapi CMS to the AI assistant, enabling the AI to manage website content. The AI can query article lists, create new content, update existing articles, etc.
E-commerce platform management
Connect the GraphQL API of Shopify or a custom e-commerce platform. The AI assistant can assist in managing product, order, and customer information.
Project management tool query
Integrate the GraphQL APIs of tools such as Jira and Asana (if provided), enabling the AI to query project progress and task allocation status.
API exploration and testing
Developers use Forge to quickly test new GraphQL APIs and explore all available functions of the API through the AI assistant.

Frequently Asked Questions

Which AI tools does MCP GraphQL Forge support?
Do I need to modify the existing GraphQL API?
How to handle GraphQL APIs that require authentication?
Will Forge cache sensitive data?
If the GraphQL API is very large, will it generate too many tools?
Does it support GraphQL subscriptions?
How to update the cached schema?
Does it support self-signed certificates or local development environments?

Related resources

Official GitHub repository
Source code, issue tracking, contribution guidelines
npm package page
Installation instructions, version history
Model Context Protocol official website
Official documentation and specifications of the MCP protocol
Smithery installer
A platform for installing MCP servers with one click
OneGrep company official website
Development team information and more tools

Installation

Copy the following command to your Client for configuration
{
    "mcpServers": {
        "mcp-graphql-forge": {
            "command": "npx",
            "args": [
              "-y",
              "@toolprint/mcp-graphql-forge"
            ],
            "env": {
                "GRAPHQL_ENDPOINT": "https://your-api.com/graphql",
                "GRAPHQL_AUTH_HEADER": "Bearer YOUR_TOKEN"
            }
        }
    }
}
Note: Your key is sensitive information, do not share it with anyone.

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