Shipxy MCP Server is an open-source maritime location service solution that complies with the MCP protocol, providing APIs for real-time ship tracking, port data, route planning and marine weather, and supporting integration with developers and AI agents.

Binance Alpha MCP is a server for tracking Binance Alpha trades, helping AI agents optimize Alpha point accumulation. It provides real-time trading monitoring, USD-denominated metrics, data persistence, and MCP tools, including functions to get top tokens and trading statistics.

The AgentOps MCP Server provides observability and tracking data for AI agent operation, which is used for debugging and analyzing the success and failure of agents.

An MCP server that tracks real-time data of cryptocurrency-related stocks, helping AI agents analyze blockchain investment opportunities.

An HTTP server based on the MCP protocol, providing AGENTS.md knowledge management, structured task tracking, version history recording, and scratchpad functions, supporting multi - user collaboration and AI sub - agent calls.

A production - ready MCP server that provides a unified interface for the WYGIWYH expense tracking API through dynamically generating 75 tools, supporting integration with AI agents and automated platforms

A personal assistant AI agent based on the MCP protocol, providing functions such as calendar management, task tracking, email handling, and smart home control, which can be integrated into MCP clients like Claude for use.

The Backlog MCP Server is a middleware service that enables AI agents to interact with the Backlog API, supporting various functions such as project management, issue tracking, and Wiki editing.

TPC Server is a backend service for recording and tracking the thought processes of AI agents or projects. It manages the associated data of thoughts, plans, and changes through structured logging and provides Web interface and API access.

The Divide and Conquer MCP Server is a task management server based on a JSON structure, designed for AI agents to decompose complex tasks, track progress, and maintain context.

The REAPER MCP Server is a comprehensive model context protocol server that enables AI agents to create fully mixed and mastered audio tracks in REAPER, supporting MIDI and audio functions.

GitLab and Jira integrated MCP server, providing an AI - agent interaction interface for functions such as project management, merge requests, and issue tracking

trackio-mcp is a Python package that provides MCP (Model Context Protocol) server support for the trackio experiment tracking tool, enabling AI agents to observe and interact with trackio experiments through the MCP protocol. It can automatically enable the MCP server functionality by a simple import without modifying existing code, and supports local and Hugging Face Spaces deployment.

An MCP server for GitLab and Jira integration, providing functions for AI agents to interact with GitLab and Jira instances, including project management, merge request processing, file viewing, user activity tracking, and Jira ticket management.

An MCP server that tracks the activation and exit queues of Ethereum validators in real-time, providing a monitoring tool for AI agents to understand staking dynamics and network participation trends.

The Divide and Conquer MCP Server is a JSON - structured task management tool that helps AI agents break down complex tasks into manageable subtasks and provides progress tracking and context saving functions.

An MCP server project that provides LLM agents with the ability to interact with the AgentOps API for accessing and analyzing tracking data.

This project demonstrates how to integrate a Model Context Protocol (MCP) server with multiple LLM agent frameworks, including Google ADK, LangGraph, OpenAI Agents, and Pydantic - AI. It connects different LLM providers through a standardized interface and uses Logfire for tracking and visualization.

The Backlog MCP Server is a model context protocol server for interacting with the Backlog API, providing functions such as project management, issue tracking, and Wiki page management, and supporting operations on the Backlog platform through AI agents.

An MCP server designed for integrating Shopify and LLM agents, providing functions such as order processing, logistics tracking, archiving, and querying.

This project implements an advanced sequential thinking process based on the Multi - Agent System (MAS), which is built using the Agno framework and provided services by MCP. Compared with simple state - tracking methods, it uses coordinated specialized agents for in - depth analysis and problem decomposition, evolving from a passive thinking recorder to an active thinking processor.

An MCP server project that provides an interface for LLM agents to interact with the AgentOps API for accessing tracking data, including authentication processes and tool call functions.