Is the CNCF-LLM-Observability-Multi-Agent-Demo MCP server actively maintained?

The CNCF-LLM-Observability-Multi-Agent-Demo MCP server was last committed 11d ago and has 0 contributors. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

CNCF-LLM-Observability-Multi-Agent-Demo MCP Server

Name: ashishpatel26/CNCF-LLM-Observability-Multi-Agent-Demo
Rating: 3.2 (1 reviews)
Author: ashishpatel26

ashishpatel26/CNCF-LLM-Observability-Multi-Agent-Demo

Score: 55.7 Rank #8050 Agent Framework

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Meridian Claims: a real multi-agent health-insurance claims-adjudication system (CrewAI + MCP + Langfuse) demonstrating production-grade LLM observability

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Overview

ashishpatel26/CNCF-LLM-Observability-Multi-Agent-Demo is a HTML tool licensed under MIT. Meridian Claims: a real multi-agent health-insurance claims-adjudication system (CrewAI + MCP + Langfuse) demonstrating production-grade LLM observability

Ranked #8050 out of 24840 indexed tools.

Ecosystem

HTML MIT

Score Breakdown

Stars 15% 4

4 stars → early stage

Freshness 25% 11d ago

Last commit 11d ago → recently updated

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 2

Description Detailed

License MIT

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

How to Improve

Contributors medium impact

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

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Markdown

[![AgentRank](https://agentrank-ai.com/api/badge/tool/ashishpatel26--CNCF-LLM-Observability-Multi-Agent-Demo)](https://agentrank-ai.com/tool/ashishpatel26--CNCF-LLM-Observability-Multi-Agent-Demo/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

HTML

<a href="https://agentrank-ai.com/tool/ashishpatel26--CNCF-LLM-Observability-Multi-Agent-Demo/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/badge/tool/ashishpatel26--CNCF-LLM-Observability-Multi-Agent-Demo" alt="AgentRank"></a>

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HTML

<script src="https://agentrank-ai.com/embed.js" data-tool="ashishpatel26/CNCF-LLM-Observability-Multi-Agent-Demo"></script>

Details

Stars: 4
Forks: 2
Open Issues: 0
Closed Issues: 0
Contributors: 0
Dependents: —
Language: HTML
License: MIT
Last Commit: 11d ago

Matched Queries

topic:mcptopic:model-context-protocol

See alternatives to ashishpatel26/CNCF-LLM-Observability-Multi-Agent-Demo → Browse agent-framework category → Compare ashishpatel26/CNCF-LLM-Observability-Multi-Agent-Demo → A2A vs MCP: Agent Protocol Comparison →What is MCP? Model Context Protocol Explained →

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