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
Basic information
Intelligent API routing and cost-visibility layer for AI agents via MCP
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"hebline": {
"command": "npx",
"args": [
"-y",
"-p",
"@hebline.ai/mcp-server",
"hebline-mcp"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
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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