Xero MCP Server is an implementation of the Model Context Protocol (MCP) that acts as a bridge between MCP clients and Xero's API. It enables standardized access to Xero's accounting and business features, supporting OAuth2 authentication, accounts, contacts, invoices, and more. The server is compatible with third-party MCP clients and supports both custom connection and bearer token authentication modes. Comprehensive command support allows for seamless integration with applications like Claude Desktop.

• ⭐ 147
• MCP
• XeroAPI/xero-mcp-server

CRIC物业AI MCP Server is a server-side implementation based on the Model Context Protocol (MCP), offering intelligent assistance specifically for the property management sector. It integrates multi-modal large models and RAG technology to provide industry research, legal insights, community governance, project operations, and copywriting support. The platform leverages extensive proprietary datasets and real-time data monitoring to deliver accurate, context-driven services for diverse property-related business scenarios.

• ⭐ 1
• MCP
• wuye-ai/mcp-server-wuye-ai

solscan-mcp provides a Model Context Protocol (MCP) server that interfaces with the Solscan Pro API to deliver blockchain data from the Solana network. Built in Rust, it allows querying of token information, account activities, and transactions, and is designed for easy integration with language models. The tool supports context-driven investigations by leveraging AI to analyze and report on blockchain wallet behaviors using customized context inputs.

• ⭐ 32
• MCP
• wowinter13/solscan-mcp

Twelve Data MCP Server provides a Model Context Protocol-compliant server for integrating and accessing Twelve Data’s financial market API. It enables users and AI agents to retrieve historical data, real-time quotes, and instrument metadata for stocks, forex, and crypto using natural language or endpoint calls. The system leverages AI-driven routing, including OpenAI GPT-4o, to intelligently map plain English queries to relevant API endpoints for structured or conversational workflows. Integration options are available for platforms like Claude Desktop and VS Code, with flexible local or remote deployment.

• ⭐ 43
• MCP
• twelvedata/mcp

Substrate MCP Server provides a Model Context Protocol (MCP) compliant server enabling dynamic interaction with Substrate blockchains. It supports querying balances, pallets, and storage, as well as submitting transactions and accessing block and event data. The server is fully configurable via environment variables and designed for seamless integration with tools such as Cursor, Claude, and development dashboards. Built in Rust, it interfaces with Substrate nodes using the subxt crate.

• ⭐ 11
• MCP
• ThomasMarches/substrate-mcp-rs

Blockchain MCP powered by Tatum is a Model Context Protocol (MCP) server that enables large language models (LLMs) to read and write blockchain data across more than 130 networks. It provides unified access to both the Tatum Blockchain Data API and direct RPC gateways, supporting tools for retrieving balances, portfolios, transactions, and more. The platform is designed for seamless integration via API key and configurable MCP client setups, making it easier to build blockchain-aware AI solutions. Comprehensive documentation and extensive network compatibility facilitate robust development and scalability.

• ⭐ 12
• MCP
• tatumio/blockchain-mcp

ShareSeer MCP Server provides Model Context Protocol (MCP) compliant access to comprehensive SEC filings, insider transactions, and financial data. It integrates with AI assistants like Claude through a secure API, enabling users to obtain real-time and historical market insights. The platform supports both free and premium tiers with scalable limits and access to advanced historical data. Easy integration, detailed toolset, and flexible subscriptions make it suitable for financial analysis, compliance, and trading research.

• ⭐ 7
• MCP
• shareseer/shareseer-mcp-server

MCP XRPL Server provides a comprehensive Model Context Protocol implementation for the XRP Ledger, enabling AI agents to access blockchain services seamlessly across MainNet, TestNet, and DevNet. It offers an extensive suite of features including account management, token transfers, NFT operations, DIDs, AMM operations, and oracle interactions, all via a standardized MCP interface. The server supports context-driven interactions, making XRPL functionality readily accessible for AI-powered agents.

• ⭐ 5
• MCP
• RomThpt/mcp-xrpl

Braintree MCP Server implements the Model Context Protocol (MCP) to provide AI assistants with structured, direct access to PayPal Braintree's payment services. It supports both STDIO and Server-Sent Events (SSE) transports, facilitating integration with AI clients and standalone web-based deployments. The server allows execution of GraphQL queries against Braintree, supports multi-client access, and handles authentication through environment-based configuration. Designed for secure, extensible, and automated payment operations in AI-driven workflows.

• ⭐ 3
• MCP
• QuentinCody/braintree-mcp-server

Coincap MCP provides seamless access to cryptocurrency market data from Coincap's public API without requiring API keys or registration. Designed to integrate with Claude Desktop using the Model Context Protocol (MCP), it enables users to query crypto asset prices, market capitalization, and a list of available assets. Installation and configuration are streamlined through Smithery or direct setup. The tool includes sample prompts and exposes specialized tools for crypto price lookup and asset listing.

• ⭐ 89
• MCP
• QuantGeekDev/coincap-mcp

QuantConnect MCP Server enables artificial intelligence systems such as Claude and OpenAI to interface with QuantConnect's cloud platform through an official, secure, and dockerized implementation of the Model Context Protocol (MCP). It facilitates automated project management, strategy writing, backtesting, and live deployment by exposing a comprehensive suite of API tools for users with valid access credentials. As the maintained official version, it ensures security, easy deployment, and cross-platform compatibility for advanced algorithmic trading automation.

• ⭐ 50
• MCP
• QuantConnect/mcp-server

YAMCP is a command-line tool that enables organizing and managing multiple MCP (Model Context Protocol) servers as unified workspaces. It allows users to connect to various local or remote MCP servers, group them by functionality or application, and expose them as a single MCP server gateway for AI applications. The tool simplifies monitoring and debugging by centralizing server communication logs and provides workspace management and runtime control. YAMCP facilitates seamless integration with AI applications by providing a consolidated configuration and context management interface.

• ⭐ 57
• MCP
• hamidra/yamcp

Coin MCP Server provides a fast and simple server to fetch real-time cryptocurrency prices and token information via Bitget’s public API. Utilizing FastMCP and zod for validation, it exposes easy-to-use tools such as getTokenPrice, getAnnouncements, and getCoinInfo for streamlined access to live market data and detailed token attributes. Designed for straightforward deployment using Deno, it emphasizes error handling and robust API integration.

• ⭐ 27
• MCP
• pwh-pwh/coin-mcp-server

Remote-MCP provides a simple and secure way to enable remote access to and centralized management of model contexts using the Model Context Protocol. It bridges local MCP clients with remote MCP servers, supporting a modular architecture via tRPC over HTTP. The tool allows integration both as a client and a server, catering to real-time remote access needs ahead of the official MCP roadmap.

• ⭐ 200
• MCP
• ssut/Remote-MCP

MXCP is an enterprise-ready framework that implements the Model Context Protocol (MCP) for building secure, production-grade AI application servers. It introduces a structured methodology focused on data modeling, robust service design, policy enforcement, and comprehensive testing, integrated with strong security and audit capabilities. The framework enables rapid development and deployment of AI tools, supporting both SQL and Python environments, with built-in telemetry and drift detection for reliability and compliance.

• ⭐ 49
• MCP
• raw-labs/mxcp