Euclid Mcp A Model Context Protocol Server For

---
name: euclid-mcp-a-model-context-protocol-server-for
description: 'Euclid-MCP: A Model Context Protocol Server for Deterministic Logical Reasoning via Prolog'
metadata:
  {
    "arxiv_id": "2607.21412",
    "utility": 1.0,
    "date_added": "2026-07-26"
  }
---

# Euclid-MCP: A Model Context Protocol Server for Deterministic Logical Reasoning via Prolog

arXiv: 2607.21412  
Published: 2026-07-23  
Utility: 1.0

## Summary
Large Language Models (LLMs) excel at natural language understanding and generation but remain unreliable for multi-step logical reasoning, especially in safety-critical or compliance-sensitive domains. Recent neuro-symbolic approaches address this gap by coupling neural models with external symbolic engines, yet most integrations are bespoke and lack a standardized interface for tool-augmented agents. This paper presents Euclid-MCP, an open-source MCP server that provides deterministic logical reasoning via SWI-Prolog. Euclid-MCP introduces Euclid-IR, an engine-agnostic intermediate representation for Horn-clause logic that is human-readable, easy for LLMs to generate, and straightforward to compile into Prolog or alternative backends. The server exposes a compact tool interface that supports a translate-run-inspect-repair loop, enabling LLM clients to delegate inference while retaining full access to proof traces and derivation logs. We evaluate Euclid-MCP on a realistic IT security and compliance use case. Results show that while LLMs alone are sufficient on small knowledge bases, they hallucinate systematically on larger problems, whereas Euclid-MCP delivers exact answers with lower latency and more compact outputs. We argue that semantic RAG is fundamentally unsuited for rule enforcement, and that Euclid-MCP can serve as a stable, shared reasoning substrate for both RAG-based assistants and agentic systems....

## Key Information
- **Title**: Euclid-MCP: A Model Context Protocol Server for Deterministic Logical Reasoning via Prolog
- **Authors**: [Extract from entry]
- **Primary Category**: cs.AI

## Potential Skill Application
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## Reference
- arXiv: https://arxiv.org/abs/2607.21412