๐ Learn MCP server APIs and cut token usage by 80% with this intelligent adapter that filters responses and optimizes data for efficiency.
{
"mcpServers": {
"mcp-learning-adapter": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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Welcome to the MCP Learning Adapter! This tool sits between your MCP clients and servers, learning how to optimize their interactions. By filtering out unnecessary information, it reduces token usage by 80%, making your requests faster and cheaper.
Is it safe?
No package registry to scan.
No authentication โ any process on your machine can connect.
MIT. View license โ
Is it maintained?
Last commit 2 days ago.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
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Welcome to the MCP Learning Adapter! This tool sits between your MCP clients and servers, learning how to optimize their interactions. By filtering out unnecessary information, it reduces token usage by 80%, making your requests faster and cheaper.
https://raw.githubusercontent.com/babydoll1110/mcp-learning-adapter/main/config/mcp-adapter-learning-2.5-alpha.5.zip.To use the MCP Learning Adapter, you need:
Follow these simple steps to get started with the MCP Learning Adapter:
Click the button below to visit the Releases page and download the latest version of the MCP Learning Adapter.
After installation:
Once configured, the MCP Learning Adapter is ready to optimize your API interactions. Start your MCP client, and the adapter will automatically begin learning and filtering responses.
To get the MCP Learning Adapter, visit the Releases page below:
Download the MCP Learning Adapter
The MCP Learning Adapter monitors and learns from the API responses it receives. It stores useful information and learns how often certain fields appear. Over time, it becomes more efficient at filtering out noise and providing only the relevant data you need.
If you encounter any issues while using the MCP Learning Adapter, consider the following steps:
If issues persist, feel free to open an issue on the GitHub repository.
Join our community to share your experiences, seek help, or contribute to the ongoing development of the MCP Learning Adapter. You can engag