What is GitHub Agentic Chat?
GitHub Agentic Chat is a AI tool that Integrates with GitHub's API to enable natural language interaction with repositories, offering tools for searching, creating issues, and performing semantic searches across stored documents using Pos. It has a Nerq Trust Score of 40/100 (E). 0 GitHub stars. Published by https://github.com/akhidastech/github-agentic-chat-mcp. Last analyzed April 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What GitHub Agentic Chat Does
GitHub Agentic Chat is a mcp_server in the AI tool category. Integrates with GitHub's API to enable natural language interaction with repositories, offering tools for searching, creating issues, and performing semantic searches across stored documents using PostgreSQL with pgvector.. It is published by https://github.com/akhidastech/github-agentic-chat-mcp and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use GitHub Agentic Chat
GitHub Agentic Chat is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | https://github.com/akhidastech/github-agentic-chat-mcp |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | mcp_server |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=github-agentic-chat
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| SceneView | 74 | 1.1K |
| Tencent CloudBase | 47 | 970 |
| Nuxt.js | 47 | 899 |
| Context Portal | 48 | 753 |
| Tapo Smart Home | 47 | 733 |
Frequently Asked Questions
Last updated April 2026. Trust scores based on automated analysis of public data.