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Fibery MCP GraphQL Server

@greatwitenorth

关于 Fibery MCP GraphQL Server

MCP server to help your llm construct valid graphql queries for fibery.

基本信息

分类

其他

许可证

MIT license

运行时

node

传输方式

stdio

发布者

greatwitenorth

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "fibery-mcp-graphql": {
      "command": "node",
      "args": [
        "/full-path-to/index.js"
      ],
      "env": {
        "FIBERY_TOKEN": "your_fibery_token",
        "FIBERY_URL": "your_fibery_domain.fibery.io"
      }
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Fibery MCP GraphQL Server?

The Fibery MCP GraphQL Server is a Model Context Protocol (MCP) server that provides tools to introspect the Fibery GraphQL API, helping LLMs write valid GraphQL queries and mutations for Fibery.

How to use Fibery MCP GraphQL Server?

Install Node.js v20 or higher, clone the repository, and install dependencies with bun install. Configure an MCP‑compatible client with the command node and arguments pointing to the full path of index.js, and set the environment variables FIBERY_TOKEN and FIBERY_URL. Then invoke the provided tools: list_spaces_and_types, get_schema_sdl, and validate_fibery_graphql.

Key features of Fibery MCP GraphQL Server

  • List all available GraphQL spaces and types in your Fibery account
  • Get the complete GraphQL schema SDL for a Fibery space
  • Validate a generated GraphQL query or mutation against the known schema

Use cases of Fibery MCP GraphQL Server

  • Help an LLM generate valid GraphQL queries and mutations for Fibery
  • Programmatically introspect the Fibery GraphQL schema for tooling or integration

FAQ from Fibery MCP GraphQL Server

What prerequisites are needed?

Node.js v20 or higher and a Fibery account with API access.

How do I configure the MCP client?

Set the MCP server command to node, provide the full path to index.js as an argument, and supply FIBERY_TOKEN and FIBERY_URL as environment variables.

What MCP tools does this server expose?

It exposes three tools: list_spaces_and_types, get_schema_sdl, and validate_fibery_graphql.

What does list_spaces_and_types return?

It returns a JSON object with a spaces array (each containing name, url, and id) and a count of spaces.

What does get_schema_sdl require?

It requires a space_id parameter and returns the complete GraphQL schema SDL for that space.

What does validate_fibery_graphql require?

It requires space_id and query_to_validate parameters, and returns an object with a valid boolean and an errors array.

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