DeFi Trading Agent

Integrates with pykrx to provide real-time access to KOSPI and KOSDAQ stock market data, offering tools for retrieving ticker symbols, OHLCV data, market capitalization, fundamental metrics, and trading volumes.

Integrates with DART and KRX APIs to provide Korean stock market data including company information, trading data, financial statements, and disclosure documents for KOSPI, KOSDAQ, and KONEX markets.

Provides real-time access to CNN's Fear & Greed Index for US stock market sentiment analysis, retrieving current composite scores and seven individual market indicators including S&P 500 momentum, options ratios, and volatility measures with historical comparisons.

Integrates with the Hyperliquid SDK to provide real-time cryptocurrency market data, including mid prices, historical candlesticks, and L2 order book information for traders and analysts.

Provides access to Chinese stock market data including historical prices, real-time information, financial statements, and news from sources like Eastmoney, Sina, and Xueqiu.

Integrates with financial data sources like yfinance, CNN Fear & Greed Index, FRED, and ta-lib to provide real-time market data, technical indicators, and economic insights for investment research and portfolio analysis.

Integrates with mempool.space APIs to provide real-time Bitcoin network data including transaction details, block information, address balances, mining statistics, and fee recommendations for developers and traders.

High-performance CCXT MCP server for cryptocurrency exchange integration.

Provides real-time financial analysis tools leveraging market data from yfinance and CNN's Fear & Greed Index for investment research, portfolio analysis, and market sentiment evaluation.

Provides real-time financial data from Yahoo Finance through specialized tools for retrieving stock information, market trends, and news for investment research and analysis.

Bridges local llama-server instances with MCP clients, providing chat interface, health monitoring, and configurable generation parameters for integrating llama.cpp models with desktop applications

Provides dual-cycle metacognitive reasoning framework that detects when autonomous agents get stuck in repetitive behaviors through statistical anomaly detection and semantic analysis, then automatically diagnoses failure causes and generates recovery strategies using case-based learning.

Integrates with Datadog's API to enable incident management, including listing and retrieving incident information for system monitoring and observability workflows.

Aggregates multiple MCP servers into a single unified interface, reducing system resource usage and simplifying configuration management with dynamic reloading and tag-based filtering capabilities.

Integrates with 17TRACK API to provide global package tracking across multiple carriers with fuzzy search for carrier identification and delivery status monitoring for e-commerce and customer service workflows.

Lightweight server that captures and manages stdout logs from multiple processes through a named pipe system, maintaining a 100-entry log history and providing robust querying and filtering capabilities for debugging and real-time monitoring.

Provides a bridge to SQL databases (MSSQL, MySQL, PostgreSQL) for executing queries, exploring schemas, monitoring performance, and generating reports with features like connection pooling and transaction management.

Monitors ClojureScript builds in real-time, providing detailed status information including compilation status, warnings, errors, and file-specific details for verifying build success after code changes.

Logfire

Official

Enables AI systems to query and analyze OpenTelemetry traces and metrics through Logfire's API, providing tools for finding exceptions, investigating errors, and running custom SQL queries against observability data with automatic authentication.

Provides a bridge to Kubernetes multi-cluster environments for managing distributed resources through kubectl commands, service account connections, and seamless cross-cluster operations without switching contexts.