What is mcp-server-summary-always?
59/100
Trust Score (D)
⚠️ Use Caution
mcp-server-summary-always is a coding that 一个用于跟踪和总结对话的MCP服务器，自动提取关键信息并记录。. It has a Nerq Trust Score of 59/100 (D). 0 GitHub stars. Published by wsd1. Last analyzed October 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 1/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
59
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS
What mcp-server-summary-always Does
mcp-server-summary-always is a mcp_server in the coding category. 一个用于跟踪和总结对话的MCP服务器，自动提取关键信息并记录。. It is published by wsd1 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use mcp-server-summary-always
mcp-server-summary-always is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | wsd1 |
|---|---|
| Category | coding |
| License | Not specified |
| Type | mcp_server |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 1/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=mcp-server-summary-always
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
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|---|---|---|
| AutoGPT | 65 | 181.9K |
| ollama | 64 | 163.0K |
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| opencode | 78 | 108.1K |
Frequently Asked Questions
What is mcp-server-summary-always used for?
mcp-server-summary-always is a coding tool. 一个用于跟踪和总结对话的MCP服务器，自动提取关键信息并记录。.
Is mcp-server-summary-always free?
License: Check project page. mcp-server-summary-always has 0 GitHub stars.
Is mcp-server-summary-always safe?
mcp-server-summary-always has a Nerq Trust Score of 59/100 (D). Use with caution.
What are alternatives to mcp-server-summary-always?
Top alternatives: AutoGPT, ollama, langchain. See full comparison.
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Last updated October 2026. Trust scores based on automated analysis of public data.