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將 Anthropic Messages API 連接到 aicharged.io

215 個工具，單一端點：https://aicharged.io/api/v1/mcp

Anthropic Messages API

Anthropic Messages API 的 MCP 連接器（beta）：mcp_servers 加上 mcp_toolset——Claude 直接從 API 呼叫 aicharged.io。

  • API 金鑰（Bearer）

代管的 MCP 工具——由 API 代你呼叫 aicharged.io

推薦 
import os
import anthropic

client = anthropic.Anthropic()
response = client.beta.messages.create(
    model="claude-opus-5-5",
    max_tokens=16000,
    betas=["mcp-client-2025-11-20"],
    messages=[{"role": "user", "content": "List my recent aicharged.io runs"}],
    mcp_servers=[{
        "type": "url",
        "url": "https://aicharged.io/api/v1/mcp",
        "name": "aicharged",
        "authorization_token": os.environ["AICHARGED_API_KEY"],
    }],
    tools=[{"type": "mcp_toolset", "mcp_server_name": "aicharged"}],
)
print(response.content)

測試版功能：請保留 mcp-client-2025-11-20 beta 旗標。API 會將 authorization_token 作為 Bearer token 傳送給 aicharged.io。

用 curl 送出同樣的請求

curl https://api.anthropic.com/v1/messages \
  -H "x-api-key: $ANTHROPIC_API_KEY" \
  -H "anthropic-version: 2023-06-01" \
  -H "anthropic-beta: mcp-client-2025-11-20" \
  -H "content-type: application/json" \
  -d '{
    "model": "claude-opus-5-5",
    "max_tokens": 16000,
    "messages": [{"role": "user", "content": "List my recent aicharged.io runs"}],
    "mcp_servers": [{"type": "url", "url": "https://aicharged.io/api/v1/mcp", "name": "aicharged", "authorization_token": "<API_KEY>"}],
    "tools": [{"type": "mcp_toolset", "mcp_server_name": "aicharged"}]
  }'

或讓 CLI 進行設定

aicharged setup 會尋找此電腦上的 AI 用戶端，引導您透過瀏覽器登入，並寫入其設定檔。

一行指令輕鬆連接

安裝 CLI · macOS / Linux
curl -fsSL https://aicharged.io/install.sh | sh && aicharged setup
安裝 CLI · Windows
irm https://aicharged.io/install.ps1 | iex; aicharged setup
MCP 端點
https://aicharged.io/api/v1/mcp

可串流的 HTTP。傳送標頭 Authorization: Bearer <API_KEY>，或在您的用戶端支援時使用 OAuth 登入。

或告訴您的代理
閱讀 https://aicharged.io/agent.md，並幫我設定 aicharged.io

使用此提示詞開啟於 Claude (在新分頁中開啟) ChatGPT (在新分頁中開啟) Perplexity (在新分頁中開啟)