StackMCP

Edge Computing Stack for Claude Code

Intermediate5 servers29.4K tokens

Configuration

{
  "mcpServers": {
    "cloudflare-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@cloudflare/mcp-server-cloudflare"
      ],
      "env": {
        "CLOUDFLARE_API_TOKEN": "YOUR_CLOUDFLARE_API_TOKEN",
        "CLOUDFLARE_ACCOUNT_ID": "YOUR_CLOUDFLARE_ACCOUNT_ID"
      }
    },
    "vercel-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "vercel-mcp"
      ],
      "env": {
        "VERCEL_API_TOKEN": "YOUR_VERCEL_API_TOKEN"
      }
    },
    "upstash-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@upstash/mcp-server@latest"
      ],
      "env": {
        "UPSTASH_EMAIL": "YOUR_UPSTASH_EMAIL",
        "UPSTASH_API_KEY": "YOUR_UPSTASH_API_KEY"
      }
    },
    "turso-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-turso"
      ],
      "env": {
        "TURSO_DATABASE_URL": "YOUR_TURSO_DATABASE_URL",
        "TURSO_AUTH_TOKEN": "YOUR_TURSO_AUTH_TOKEN"
      }
    },
    "redis-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "redis-mcp"
      ],
      "env": {
        "REDIS_URL": "YOUR_REDIS_URL"
      }
    }
  }
}

CLI Commands

Alternatively, add each server via the Claude Code CLI:

claude mcp add cloudflare-mcp -e CLOUDFLARE_API_TOKEN=YOUR_CLOUDFLARE_API_TOKEN -e CLOUDFLARE_ACCOUNT_ID=YOUR_CLOUDFLARE_ACCOUNT_ID -- npx -y @cloudflare/mcp-server-cloudflare
claude mcp add vercel-mcp -e VERCEL_API_TOKEN=YOUR_VERCEL_API_TOKEN -- npx -y vercel-mcp
claude mcp add upstash-mcp -e UPSTASH_EMAIL=YOUR_UPSTASH_EMAIL -e UPSTASH_API_KEY=YOUR_UPSTASH_API_KEY -- npx -y @upstash/mcp-server@latest
claude mcp add turso-mcp -e TURSO_DATABASE_URL=YOUR_TURSO_DATABASE_URL -e TURSO_AUTH_TOKEN=YOUR_TURSO_AUTH_TOKEN -- npx -y mcp-turso
claude mcp add redis-mcp -e REDIS_URL=YOUR_REDIS_URL -- npx -y redis-mcp

Where to save

Paste the config above into:

~/.claude.json

Environment Variables

Replace the YOUR_ placeholders with your actual values.

CLOUDFLARE_API_TOKENrequired

Cloudflare API token

Used by: Cloudflare MCP

CLOUDFLARE_ACCOUNT_IDrequired

Cloudflare account ID

Used by: Cloudflare MCP

VERCEL_API_TOKENrequired

Vercel API token

Used by: Vercel MCP

UPSTASH_EMAILrequired

Upstash account email

Used by: Upstash MCP

UPSTASH_API_KEYrequired

Upstash management API key

Used by: Upstash MCP

TURSO_DATABASE_URLrequired

Turso database URL

Used by: Turso MCP

TURSO_AUTH_TOKENrequired

Turso authentication token

Used by: Turso MCP

REDIS_URLrequired

Redis connection URL

Used by: Redis MCP

What’s in this stack

Cloudflare MCP18 tools

Interact with Cloudflare services including Workers, KV, R2, D1, and DNS management from your AI editor.

Deploy Workers, manage KV storage, and configure edge rules across Cloudflare's global network for sub-50ms response times worldwide.

Vercel MCP12 tools

Connect to the Vercel API to manage deployments, projects, domains, and environment variables from your AI editor.

Ship edge functions and serverless APIs with automatic geographic routing, preview deployments, and built-in analytics.

Upstash MCP10 tools

Create and manage Upstash serverless Redis databases, list keys, run commands, and interact with your Upstash account using natural language.

Access serverless Redis and Kafka from edge functions with per-request pricing and global replication for consistent low latency.

Turso MCP9 tools

Query and manage Turso-hosted LibSQL databases, run SQL statements, inspect schemas, and handle database operations from your AI editor.

Run embedded SQLite databases replicated to edge locations — giving you a relational database that follows your users.

Redis MCP8 tools

Interact with Redis databases. Get, set, and manage keys, run commands, and monitor your Redis instances from your AI editor.

Cache frequently accessed data at the edge layer to minimize origin requests and deliver instant responses to end users.

Other editors

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