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Semantic Search MCP Server

@mhart

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mhart

关于 Semantic Search MCP Server

An MCP Server to search a Vectorize DB

Semantic Search 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": {
    "cloudflare-docs": {
      "command": "npx",
      "args": [
        "mcp-remote@latest",
        "https://mcp.developers.cloudflare.com/mcp"
      ]
    }
  }
}

Semantic Search 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 Semantic Search MCP Server?

An MCP (Model Context Protocol) server that provides semantic search over documentation stored in a Cloudflare Vectorize database. It is built using the Agents SDK and powers Cloudflare’s own documentation MCP endpoint.

How to use Semantic Search MCP Server?

The server can be accessed remotely via mcp-remote (e.g., npx mcp-remote@latest https://mcp.developers.cloudflare.com/mcp) in Claude Desktop, or directly in Cloudflare’s AI Playground or VSCode via SSE. For local development, run npm run dev after populating a Vectorize database.

Key features of Semantic Search MCP Server

  • Searches documentation stored in a Cloudflare Vectorize database.
  • Built with Cloudflare’s Agents SDK.
  • Deployable to Cloudflare Workers with one click.
  • Supports remote SSE and stateless MCP connections.
  • Works with Claude Desktop, AI Playground, and VSCode.

Use cases of Semantic Search MCP Server

  • Querying Cloudflare documentation via an MCP-enabled AI assistant.
  • Integrating semantic search into MCP‑compatible chat clients.
  • Running a local development server for testing searches against a custom Vectorize database.

常见问题

1

What does the server search?

It searches documentation stored in a Cloudflare Vectorize database.

2

How do I use it in Claude Desktop?

Add a `mcpServers` entry with command `npx`, args `["mcp-remote@latest", "https://mcp.developers.cloudflare.com/mcp"]`.

3

Can I test it in Cloudflare’s AI Playground?

Yes. Enter `https://mcp.developers.cloudflare.com/mcp` as the MCP Server URL in the Playground.

4

How do I run it locally?

Run `npm run dev` (requires a populated Vectorize database). Then use `http://localhost:8787/mcp` as the server URL.

5

What transport does it use?

It uses Server‑Sent Events (SSE) for remote access and supports a stateless MCP endpoint at `https://mcp.developers.cloudflare.com/mcp`.

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