How does Hebline decide which service to use?
It uses a weighted scoring engine that considers cost, latency, and service scores. Free services are preferred when constraints allow.
@Hebline
基本信息
Intelligent API routing and cost-visibility layer for AI agents via MCP
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"hebline": {
"command": "npx",
"args": [
"-y",
"-p",
"@hebline.ai/mcp-server",
"hebline-mcp"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
Hebline MCP Server is an API routing broker that connects AI agents to the best available API services—free or paid—based on cost, latency, and capability. It abstracts away provider selection, routes free services first, and logs all calls for transparency.
Install the package globally (npm install -g @hebline.ai/mcp-server) or add it to your MCP client configuration (e.g., Claude Desktop, Cursor, VS Code) via the provided JSON config. Then, use MCP tools like execute, compare, or categories to route API calls. Optionally set environment variables for paid API keys.
It uses a weighted scoring engine that considers cost, latency, and service scores. Free services are preferred when constraints allow.
No problem—Hebline routes to free alternatives automatically. Paid services are excluded from routing unless keys are provided.
Call metadata (timestamp, capability, service, latency, cost) is logged to `~/.hebline/calls.jsonl`. No API call content is stored.
Yes. Only anonymized metadata is logged. A self-hosted option is available for zero data leaving your network.
Currently, stdio transport is supported. SSE transport is on the roadmap. No authentication is required for the open-source server.

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