mcp-yfinance-server
★ 53
vs
archestra
★ 4.4k
mcp-yfinance-server vs archestra
mcp-yfinance-server: This project sets up a stock price server using Yahoo Finance API and MCP protocol. It provides real-time stock data, technical indicators, watchlist management, and volatility analysis. Designed for AI agents and dashboards, it exposes 18 tools for comprehensive stock analysis.; archestra: Archestra is a secure, MCP-native AI platform that simplifies enterprise AI adoption. It provides comprehensive tools for AI orchestration, security against prompt injections and data exfiltration, cost management, and observability across the organization.
01
TL;DR
mcp-yfinance-serverObservability · ★ 53
Dynamic watchlist management for tracking multiple stocks
archestraObservability · ★ 4.4k
When to choose:
- You are a platform or security team that needs central control over how the company uses models and MCP servers.
- You want one platform covering an internal chat, an LLM gateway, an MCP gateway and registry, and an agent runtime.
- You need SSO, RBAC, sandboxed code execution, guardrails, per-user tool authorisation, OpenTelemetry and Prometheus.
When to skip:
- You are a small team that only needs a proxy: Kubernetes-oriented components make this a significant deployment.
- You need to avoid AGPL or commercial terms: the default code is AGPL-3.0 and parts marked Enterprise are under a commercial licence.
- You already run gateways or chat apps whose roles overlap; plan what it would replace.
02
Side-by-Side Comparison
Field
mcp-yfinance-serverarchestraCategory
Observability
Observability
Stars
★ 53
★ 4.4k
License
MIT
AGPL-3.0 (enterprise parts under a commercial license)
Install Command
curl -LsSf https://astral.sh/uv/install.sh | sh && mkdir mcp-yfinance-server && cd mcp-yfinance-server && uv init && uv venv && source .venv/bin/activate && uv pip install -e .
docker pull archestra/platform:latest; docker run -p 9000:9000 -p 3000:3000 -e ARCHESTRA_QUICKSTART=true -v /var/run/docker.sock:/var/run/docker.sock -v archestra-postgres-data:/var/lib/postgresql/data -v archestra-app-data:/app/data archestra/platform;
Updated
5mo ago
1d ago
Open Source
Yes
Yes
Tags
fastapi, mcp-server, mcp-servers
AI Platform, AI Security, Kubernetes
03
Features
mcp-yfinance-server01Real-time stock price retrieval
02Watchlist management (add, view prices)
03Technical analysis (RSI, MACD, moving averages)
04Volatility analysis (ATR, historical volatility)
05Trend analysis and momentum detection
archestra01Secure, MCP-native AI Platform for simplified enterprise AI usage.
02Private MCP registry with governance and ChatGPT-like chat capabilities.
03Kubernetes-native orchestration for managing AI servers and credentials.
04Advanced security features to prevent prompt injections and data exfiltration.
05Comprehensive cost monitoring, dynamic optimization, and observability tools.
04
Use Cases
mcp-yfinance-server↳Dynamic watchlist management for tracking multiple stocks
↳Deep-dive technical analysis for investment decisions
↳Powering stock-focused autonomous agents or dashboards
archestra↳Centralized orchestration and secure management of AI models and data for platform teams.
↳Secure deployment and development of AI agents across the organization for developers.
↳Facilitating organization-wide AI adoption, cost reduction, and usage visibility for management.
05
Best For
mcp-yfinance-server—
archestraEssentialTrending
FAQ
FAQ
What is the difference between mcp-yfinance-server and archestra?
Both mcp-yfinance-server and archestra are in the Observability category. mcp-yfinance-server has 53 stars, while archestra has 4.4k stars.
Which is better, mcp-yfinance-server or archestra?
The best choice depends on your use case. Choose mcp-yfinance-server if Dynamic watchlist management for tracking multiple stocks, and archestra if Centralized orchestration and secure management of AI models and data for platform teams..
Is mcp-yfinance-server free or open source?
Yes, mcp-yfinance-server is open source on GitHub (MIT).
Is archestra free or open source?
Yes, archestra is open source on GitHub (AGPL-3.0 (enterprise parts under a commercial license)).
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