What is asanamcp?
64/100
Trust Score (C)
⚠️ Use Caution
asanamcp is a devops that asanamcp is a STDIO Rust MCP server for the Asana API.. It has a Nerq Trust Score of 64/100 (C). 0 GitHub stars. Published by adlio. Last analyzed November 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: MIT — Clear licensing
Trust & Safety Overview
64
TRUST SCORE
C
GRADE
0
STARS
0
DOWNLOADS
What asanamcp Does
asanamcp is a mcp_server in the devops category. asanamcp is a STDIO Rust MCP server for the Asana API.. It is published by adlio and is open source. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use asanamcp
asanamcp is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | adlio |
|---|---|
| Category | devops |
| License | MIT |
| 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=asanamcp
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| ansible | 75 | 68.1K |
| Flowise | 68 | 49.6K |
| learn-claude-code | 72 | 42.5K |
| continue | 75 | 31.6K |
| agents | 79 | 29.1K |
Frequently Asked Questions
What is asanamcp used for?
asanamcp is a devops tool. asanamcp is a STDIO Rust MCP server for the Asana API..
Is asanamcp free?
License: MIT. asanamcp has 0 GitHub stars.
Is asanamcp safe?
asanamcp has a Nerq Trust Score of 64/100 (C). Use with caution.
What are alternatives to asanamcp?
Top alternatives: ansible, Flowise, learn-claude-code. See full comparison.
Safety Report Is It Safe?
Alternatives Prediction
Trending Leaderboard
Discover MCP Servers
Packages Models
Stats API
Last updated November 2026. Trust scores based on automated analysis of public data.