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AI Engineer

by Jonathan S

Build and experiment with AI: HuggingFace models, E2B code sandboxes, and sequential reasoning.

Servers in this stack

ai
HuggingFace

Access HuggingFace models, datasets, and the Hub.

@huggingface/mcp-client
developer-tools
E2B Code Sandbox

Execute code securely in isolated cloud sandboxes with E2B.

@e2b/mcp-server
ai
Sequential Thinking

Dynamic and reflective problem-solving through sequential thought chains.

@modelcontextprotocol/server-sequential-thinking
productivity
Memory

Persistent key-value memory store for AI assistants.

@modelcontextprotocol/server-memory
web
Fetch

HTTP fetch tool for reading web content and APIs.

@modelcontextprotocol/server-fetch

Copy config

// .vscode/mcp.json
{
  "servers": {
    "huggingface": {
      "command": "npx",
      "args": [
        "-y",
        "@huggingface/mcp-client"
      ],
      "type": "stdio"
    },
    "e2b": {
      "command": "npx",
      "args": [
        "-y",
        "@e2b/mcp-server"
      ],
      "type": "stdio"
    },
    "sequential-thinking": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-sequential-thinking"
      ],
      "type": "stdio"
    },
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ],
      "type": "stdio"
    },
    "fetch": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-fetch"
      ],
      "type": "stdio"
    }
  }
}