thinkingbox is a framework for defining tool as MCP servers, running LLM agents against them, and evaluating agent behavior — for offline training-data generation, reinforcement-learning training loops, and model evaluation.
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Thinkingbox is an MCP server that thinkingbox is a framework for defining tool as MCP servers, running LLM agents against them, and evaluating agent behavior — for offline training-data generation, reinforcement-learning training loops, and model evaluation. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 38/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"thinkingbox": {
"url": "<see-readme-for-url>"
}
}
}Are you the author?
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ThinkingBox is a framework designed to: - Define tool mocks as MCP servers. - Create scenarios and test cases. - Run an LLM agent and enable interaction with tools. - Evaluate the outcomes of agent execution.
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories - click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
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