mcpField
D
DAS MCP Server on Cloudflare Workers

DAS MCP Server on Cloudflare Workers

Local
github.com/pratikbuildsCloud & Infra0Updated 77w ago
Repository

About DAS MCP Server on Cloudflare Workers

A Cloudflare Worker MCP server that connects to the Helius API and exposes asset search tools. It is intended for MCP clients that need to search assets, with API credentials supplied through environment variables.

Key features

  1. 01Helius API asset search
  2. 02Cloudflare Worker deployment
  3. 03Environment-variable API key handling
  4. 04Extensible tool definitions

Use cases

  1. 01Searching assets from an MCP client
  2. 02Connecting through Cloudflare AI Playground
  3. 03Using with Claude Desktop

MCP support

It exposes asset search and related tools to MCP clients through a Worker endpoint. The README describes connections from Cloudflare AI Playground and Claude Desktop.

#assets-mcp#cloudflare#helius-api

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "assets": {
      "command": "npx",
      "args": [
        "-y",
        "wrangler"
      ]
    }
  }
}
Run commandnpx -y wrangler

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmwrangler

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

DAS MCP Server on Cloudflare Workers

This project is a Cloudflare Worker that runs a Model Context Protocol (MCP) server, integrating with the Helius API to provide asset search and related tools. It is designed for easy deployment and extension, and uses environment variables for secure API key management.

Features

  • Cloudflare Worker MCP server
  • Integrates with Helius API (requires HELIUS_API_KEY)
  • Secure environment variable handling (no secrets in code or repo)
  • Ready for Cloudflare AI Playground and Claude Desktop integration

Environment Variables

Required:

Local Development
  1. Create a .dev.vars file in the project root: 
    HELIUS_API_KEY=your-helius-api-key
  2. Add .dev.vars to .gitignore (already done if using template).
  3. Run locally with: 
    npx wrangler dev
Cloudflare Deployment
  1. Go to your Worker in the Cloudflare Dashboard.
  2. Under Settings > Variables, add HELIUS_API_KEY with your API key value.
  3. Deploy your Worker as usual.

Troubleshooting:

  • If you see an error like HELIUS_API_KEY is not set in environment variables, make sure the variable is set in your local .dev.vars or in the Cloudflare dashboard.

Usage

  • The Worker exposes endpoints for MCP tools, including asset search via Helius.
  • See src/index.ts for tool definitions and extension points.

Get started:

Deploy to 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

Customizing your MCP Server

To add your own tools to the MCP server, define each tool inside the init() method of src/index.ts using this.server.tool(...).

Connect to Cloudflare AI Playground

You can connect to your MCP server from the Cloudflare AI Playground, which is a remote MCP client:

  1. Go to https://playground.ai.cloudflare.com/
  2. Enter your deployed MCP server URL (remote-mcp-server-authless.<your-account>.workers.dev/sse)
  3. You can now use your MCP tools directly from the playground!

Connect Claude Desktop to your MCP server

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.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.