mcp-yfinance-server
★ 53
vs
lmnr
★ 3.4k
mcp-yfinance-server vs lmnr
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.; lmnr: Laminar is an open-source observability platform specifically designed for AI agents. It provides comprehensive tools for tracing, evaluation, and monitoring of AI agent behavior and performance.
01
TL;DR
mcp-yfinance-serverObservability · ★ 53
Dynamic watchlist management for tracking multiple stocks
lmnrObservability · ★ 3.4k
Debugging and understanding the execution flow and internal states of AI agents.
02
Side-by-Side Comparison
Field
Category
Observability
Observability
Stars
★ 53
★ 3.4k
License
MIT
Apache-2.0
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 .
git clone https://github.com/lmnr-ai/lmnr && cd lmnr && docker compose up -d
Updated
5mo ago
1d ago
Open Source
Yes
Yes
Tags
fastapi, mcp-server, mcp-servers
AI Observability, Tracing, LLM Evals
03
Features
01Real-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
01OpenTelemetry-native tracing SDK with support for various AI SDKs (Vercel AI SDK, LangChain, OpenAI, etc.).
02Unopinionated, extensible SDK and CLI for running evals, with a UI for visualizing and comparing results.
03AI monitoring with the ability to define events using natural language descriptions to track agent behavior.
04SQL access to all collected data (traces, metrics, events) via a built-in SQL editor and API.
05High-performance architecture written in Rust, featuring a custom real-time engine and ultra-fast full-text search.
04
Use Cases
↳Dynamic watchlist management for tracking multiple stocks
↳Deep-dive technical analysis for investment decisions
↳Powering stock-focused autonomous agents or dashboards
↳Debugging and understanding the execution flow and internal states of AI agents.
↳Evaluating the performance, quality, and reliability of AI agents and their responses.
↳Monitoring AI agents in production for anomalies, logical errors, and custom business behaviors.
05
Best For
—
EssentialTrending
FAQ
FAQ
What is the difference between mcp-yfinance-server and lmnr?
Both mcp-yfinance-server and lmnr are in the Observability category. mcp-yfinance-server has 53 stars, while lmnr has 3.4k stars.
Which is better, mcp-yfinance-server or lmnr?
The best choice depends on your use case. Choose mcp-yfinance-server if Dynamic watchlist management for tracking multiple stocks, and lmnr if Debugging and understanding the execution flow and internal states of AI agents..
Is mcp-yfinance-server free or open source?
Yes, mcp-yfinance-server is open source on GitHub (MIT).
Is lmnr free or open source?
Yes, lmnr is open source on GitHub (Apache-2.0).
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