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mcp/harbor
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agentcents MCP

v1.1.3

io.github.labham-llc/agentcents

Local LLM cost proxy: forecasts each call and recommends the cheapest model that clears the task.

transport:stdio runtime:pypi
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Target client

run in your project directory 

claude mcp add agentcents -- uvx agentcents

Adds it for this project only. Append --scope user to make it available everywhere. Claude Code docs

This listing does not declare its tools. Connect the server and your client will discover them on the handshake.