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← mcp scores
50
practical-ai-agents
githubgithub ↗local

A hands-on repository for learning, building, and experimenting with AI Agents, Agentic AI, MCP, RAG, orchestration, multi-agent systems, and production-grade AI architectures. Focused on practical implementations, architecture patterns, observability, security, and scalable AI engineering practices.

install
source-only — no published npm / pypi package detected.
clone and follow the build instructions in the repo: github.com/vishipayyallore/practical-ai-agents
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score breakdown
security (35%)100
freshness (25%)30
adoption (20%)0
quality (10%)20
trust (10%)50
score history (4 updates)
5/25/20265/28/2026
capabilities · what this server can do
tool list unavailable — permissions from static analysis·auth: no auth required
low risk
● active   ○ not requested  ·  hover each badge for details
fs read fs write network exec eval secrets
why low risk: No elevated permissions requested — safe to connect.
raw data
weekly downloads0
github stars0
forks0
open issues0
license✗ missing
readme length0 chars
last updated2d ago
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