What is Smart-Thinking?
Smart-Thinking is a coding that Smart-Thinking is a Model Context Protocol (MCP) server that delivers graph-based, multi-step reasoning without relying on external AI APIs. Everything happens locally: similarity search, heuristic-ba. It has a Nerq Trust Score of 70/100 (B). 31 GitHub stars. Published by Leghis. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 1/100 — Some security concerns
- ⚠️ Maintenance: 1/100 — Maintenance activity is low
- ⚠️ Community: 31 stars, 0 downloads — Growing community
- ✅ Transparency: License: MIT — Clear licensing
Trust & Safety Overview
What Smart-Thinking Does
Smart-Thinking is a mcp_server in the coding category. Smart-Thinking is a Model Context Protocol (MCP) server that delivers graph-based, multi-step reasoning without relying on external AI APIs. Everything happens locally: similarity search, heuristic-based scoring, verification tracking, memory, and visualization all run in a deterministic pipeline de. It is published by Leghis and is open source. With 31 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Smart-Thinking
Smart-Thinking is well-suited for production use given its strong trust score and active community.
Details
| Author | Leghis |
|---|---|
| Category | coding |
| License | MIT |
| Type | mcp_server |
| Source | View on GitHub |
| Security Score | 1/100 |
| Activity Score | 1/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=leghis-smart-thinking
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
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| AutoGPT | 65 | 181.9K |
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| opencode | 82 | 108.1K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.