This is a Label Studio integration server based on the Model Context Protocol, which realizes programmatic interaction with Label Studio instances through the label - studio - sdk, supporting functions such as project management, task management, and prediction integration.

The Allora MCP Server is an implementation based on the Model Context Protocol (MCP) that provides the function of obtaining machine learning inference data from the Allora network, enabling AI systems to seamlessly access Allora prediction market data.

The Chronulus MCP service is a prediction agent server designed for Claude AI, supporting installation and configuration in multiple ways, including pip, docker, and uvx, and can be integrated with services such as the file system and network requests.

PolyMarket Prediction Market Data Service

The Agentipy MCP Server is a model context protocol server designed for Claude Desktop, which enables AI agents to interact with the Solana blockchain through standardized interfaces, providing a rich set of blockchain tool functions, including balance query, transaction execution, price prediction, and cross - chain bridging.

An MCP server that provides daily horoscope predictions for the twelve constellations

SolanaViz MCP is a Model Context Protocol server that enables access, analysis, and visualization of Solana blockchain data through natural language interaction, including price prediction, security assessment, and multi - wallet analysis.

The AlphaFold MCP Server is a comprehensive platform that provides protein structure prediction analysis tools, supporting functions such as structure retrieval, quality assessment, batch processing, and visualization integration.

The Titan Memory MCP Server is a neural memory system designed for LLMs, supporting memory retention across interactions and sequence prediction. It is integrated into tools such as Cursor to achieve automated memory management.

Titan Memory Server is a neural memory system based on Google research, providing sequence learning and prediction functions, supporting memory state management and model persistence.

The MCP server of Manifold Markets provides comprehensive prediction market interaction functions, including market creation, trading operations, liquidity management, and social functions.

CryptoWeather AI Bitcoin Signal is an AI service that provides real - time bitcoin price predictions through the Model Context Protocol (MCP). It includes functions such as trading advice, performance metrics, and signal analysis, and updates data every hour.

MCP server integrating Chronulus AI prediction agents with Claude

A satellite tracking MCP server based on the N2YO API, providing functions such as real - time satellite position query, orbital data acquisition, and transit prediction.

The Label Studio MCP server project provides functions for managing annotation projects through natural language or structured calls, including project creation, task management, and prediction integration.

An MCP-based NBA player data prediction tool that generates player performance predictions through real-time data analysis and statistical modeling.

The N2YO Satellite Tracking MCP Server provides satellite orbit data, position tracking, and transit prediction services, supporting natural language queries and multi-category filtering.

A Python-based MCP server project that implements the name origin prediction function by integrating the Nationalize.io API, supporting single-name and batch prediction.

Statsource MCP Server is a Model Context Protocol server that provides statistical analysis and machine learning prediction functions, supporting access to multiple data sources and diverse statistical calculations.

The behavior prediction MCP server provides AI-driven tools for analyzing wallet behavior prediction, fraud detection, and rug pull scam prediction, helping to protect DeFi users and monitor liquidity risks.

This is an MCP server project that provides a standardized interface for the Polymarket prediction market. It supports deployment through Docker containers and provides functions such as market data query, event information acquisition, and order book viewing, making it convenient for AI assistants to analyze prediction markets.

CelestialMCP is a model context protocol server designed for Claude AI, providing astronomical data functions such as celestial position calculation and rising/setting time prediction.

This is a NOAA tide and current data service project based on the FastMCP framework, providing API access functions for various ocean - related data such as water level data, tide predictions, current data, meteorological data, and moon phase information.

The Fatebook MCP Server is a model context protocol server that provides integration with the prediction tracking platform Fatebook, allowing AI assistants to directly create, manage, and track predictions through MCP.