AI BriefingEjentum Releases MCP Server to Prevent LLM Errors
Key point
An open-source MCP server has been released to control reasoning, code generation, hallucination, and bias in LLMs.
Details
An open-source MCP (Model Context Protocol) server has been released that provides 4 cognitive harnesses that LLM agents can call and use.
This server is designed to deliver structured cognitive scaffolds (failure patterns, procedures, suppression vectors, verification tests, etc.) to the LLM invoking each tool, so that the model checks itself for logical errors before generating a response.
The 4 core tools provided:
- harness_reasoning: Supports multi-step analysis, planning, diagnosis, and cross-domain synthesis
- harness_code: Optimized for code generation, refactoring, review, and debugging
- harness_anti_deception: Addresses sycophancy, hallucination risk, and manipulation pressure
- harness_memory: Improves cognitive precision and detects drift across conversation flow
In particular, it specializes in preventing major failure modes such as LLMs confidently giving wrong answers, sycophancy under user pressure, hallucinated citations, use of causal shortcuts, and logical degradation during long reasoning processes.
It can be used immediately across various MCP-compatible clients including Claude Desktop, Cursor, Windsurf, Claude Code, and Cline.
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