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Yuno-Agentic-AI MCP Server

hariom2509/Yuno-Agentic-AI

Score: 42.2 Rank #12539 Database
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Production-grade Agentic AI Orchestration Platform built with FastAPI & ReactFlow. Compiles visual graphs into live LangGraph StateGraphs featuring Human-in-the-Loop (HITL) pause-resume checkpointing, Model Context Protocol (MCP) JIT tool scoping (90% token savings), 3-tier capability ACL security, Redis agent memory, WebSockets, SSE & Telegram.

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Overview

hariom2509/Yuno-Agentic-AI is a Python MCP server. Production-grade Agentic AI Orchestration Platform built with FastAPI & ReactFlow. Compiles visual graphs into live LangGraph StateGraphs featuring Human-in-the-Loop (HITL) pause-resume checkpointing, Model Context Protocol (MCP) JIT tool scoping (90% token savings), 3-tier capability ACL security, Redis agent memory, WebSockets, SSE & Telegram.

Ranked #12539 out of 24850 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python No license

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1

1 stars → early stage

Freshness 25% 3d ago

Last commit 3d ago → actively maintained

Issue Health 25% 0%

0/6 issues closed → many open issues

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 0
Description Detailed
License None

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

License low impact

Add an MIT or Apache-2.0 license to signal trust and enable adoption

Issue Health high impact

You have 6 open vs 0 closed issues — triaging stale issues improves health

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

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AgentRank score for hariom2509/Yuno-Agentic-AI
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Matched Queries

"model context protocol""model-context-protocol"

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