Sanity MCP Server

@MCP-Mirror

代码仓库

基本信息

分类

其他

许可证

MIT license

传输方式

stdio

作者

MCP-Mirror

关于 Sanity MCP Server

Mirror of

#sanity-io#mcp-server #content-management

Sanity MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "sanity-io_sanity-mcp-server": {
      "command": "npx",
      "args": [
        "sanity",
        "schema",
        "deploy"
      ]
    }
  }
}

Sanity MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Sanity MCP Server?

Sanity MCP Server implements the Model Context Protocol to connect your Sanity projects with AI tools such as Claude, Cursor, and VS Code. It enables AI models to understand your content structure and perform operations like creating, updating, and managing content through natural language instructions.

How to use Sanity MCP Server?

First, deploy your schema manifest using npx sanity schema deploy (requires Sanity CLI ≥3.88.1) and obtain your project ID, dataset name, and an API token. Then add the server configuration to your MCP‑compatible application’s settings, specifying the required environment variables (SANITY_PROJECT_ID, SANITY_DATASET, SANITY_API_TOKEN, MCP_USER_ROLE). If you use a Node version manager, ensure Node.js is accessible by creating symlinks (see README for OS‑specific steps).

Key features of Sanity MCP Server?

Content Intelligence: AI explores and understands your content library.
Content Operations: Automate tasks through natural language instructions.
Schema‑Aware: AI respects your content structure and validation rules.
Release Management: Plan and organize content releases effortlessly.
Semantic Search: Find content based on meaning, not just keywords.

Use cases of Sanity MCP Server?

Create, update, translate, or transform documents via conversational AI.
Execute GROQ queries to search and retrieve content programmatically.
Manage content releases: create, schedule, publish, or archive releases.
Perform semantic searches across embeddings indexes.
List and manage datasets, projects, and studio applications.

常见问题

What permissions does the API token need?

For basic read operations, a `viewer` role is sufficient. For content management, `editor` or `developer` is recommended; advanced operations like managing datasets may require an `administrator` role.

Is it safe to use this server with a production dataset?

If the token has write access, the AI can perform destructive actions (create, update, delete). Use a read‑only token or test on a development/staging dataset first.

Do I need to deploy the schema manifest?

Yes, the MCP server needs access to your content structure. Run `npx sanity schema deploy` from your Studio directory before using the server.

Which applications can I use this server with?

It works with any MCP‑compatible application, including Claude Desktop, Cursor IDE, VS Code (with appropriate extensions), and custom MCP apps.

How do I configure the server for my application?

Add a JSON block to your application’s MCP settings with `command: "npx"`, `args: ["-y", "@sanity/mcp-server@latest"]`, and the required environment variables listed in the README.

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