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A template for deploying remote Model Context Protocol servers on Cloudflare Workers using Server-Sent Events without authentication. It enables users to host c
A template for deploying remote Model Context Protocol servers on Cloudflare Workers using Server-Sent Events without authentication. It enables users to host custom tools on the edge and connect them to clients like Claude Desktop or the Cloudflare AI Playground.
This example allows you to deploy a remote MCP server that doesn't require authentication on Cloudflare Workers.
This will deploy your MCP server to a URL like: remote-mcp-server-authless.<your-account>.workers.dev/sse
Alternatively, you can use the command line below to get the remote MCP Server created on your local machine:
npm create cloudflare@latest -- my-mcp-server --template=cloudflare/ai/demos/remote-mcp-authless
To add your own tools to the MCP server, define each tool inside the init() method of src/index.ts using this.server.tool(...).
You can connect to your MCP server from the Cloudflare AI Playground, which is a remote MCP client:
remote-mcp-server-authless.<your-account>.workers.dev/sse)You can also connect to your remote MCP server from local MCP clients, by using the mcp-remote proxy.
To connect to your MCP server from Claude Desktop, follow Anthropic's Quickstart and within Claude Desktop go to Settings > Developer > Edit Config.
Update with this configuration:
{
"mcpServers": {
"calculator": {
"command": "npx",
"args": [
"mcp-remote",
"http://localhost:8787/sse" // or remote-mcp-server-authless.your-account.workers.dev/sse
]
}
}
}
Restart Claude and you should see the tools become available.
Добавь это в claude_desktop_config.json и перезапусти Claude Desktop.
{
"mcpServers": {
"fetch-mcp": {
"command": "npx",
"args": []
}
}
}Web content fetching and conversion for efficient LLM usage.
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also