Discover Awesome MCP Servers

whistle-mcp

Whistle MCP Server 是一个基于模型上下文协议 (MCP) 协议的 Whistle 代理管理工具，它使 AI 助手能够直接操作和控制本地 Whistle 代理服务器。 通过此工具，AI 可以帮助用户管理规则、群组、值，监控网络请求以及重放请求。

Code Sandbox MCP Server

A secure Model Context Protocol server that allows AI assistants and LLM applications to safely execute Python and JavaScript code snippets in containerized environments.

ReserveOracle

Reserve Asset Intelligence MCP — live gold/silver prices as ES256K-signed evidence payloads, 80+ RWA token profiles (PAXG, XAUT, BlackRock BUIDL) with issuer LEI, custody, MiCA Art.36 context, and real cryptographic signatures.

Wealth Management MCP

Provides specialized tools for portfolio health analysis, rebalance simulations, and trade execution via a single interface powered by MongoDB. It enables AI agents to manage investment portfolios while adhering to organizational governing rules, clearance guards, and rate limits.

VLC MCP Server

一个 MCP (模型上下文协议) 服务器，用于使用 VLC 播放和控制电影。

redmine-mcp

An MCP server providing 63 tools to interact with Redmine instances, covering issues, projects, time entries, and wiki pages. It utilizes streamable HTTP transport and supports per-client authentication for secure management of Redmine resources.

statelessagent

I gave Claude a mass grave of 200 markdown files and now it remembers my entire project between sessions. No cloud, no API keys, one 10mb Go binary, and private. Stateless Agent Memory Engine is your synapse to the CLI.

Curl MCP Server

Enables full curl functionality within the Model Context Protocol, allowing users to execute network requests with support for custom headers and host networking. It facilitates interaction with local and external APIs, including those using self-signed certificates, directly through Docker.

MCPTest

这个仓库是对 github-mcp-server 项目的补充或与之交互。

EKS MCP Server

A Model Context Protocol server that provides programmatic access to Amazon EKS clusters, allowing AI assistants to manage and interact with Kubernetes resources. It exposes cluster operations like listing pods as callable tools through a standardized interface.

Notion MCP Server

Enables interaction with Notion workspaces through the Notion API with health monitoring capabilities. Provides tools for managing Notion content and pages through natural language interface.

MCP FastAPI Server

A production-ready Model Context Protocol server that provides mathematical calculations, time zone information, and message echoing capabilities through both WebSocket and HTTP endpoints. Built with FastAPI for robust API functionality and interactive documentation.

MCP PDF Reader

An MCP server that enables AI assistants to read, search, and analyze PDF files from local paths or URLs. It provides tools for extracting specific page ranges, searching for terms, and retrieving document metadata.

dingtalk-wiki-mcp

Enables AI agents to read, browse, and create DingTalk Wiki content, including workspaces, folders, documents, and mind maps. It complements the official DingTalk MCP by providing comprehensive document and workspace management capabilities.

Mevzuat MCP

Provides programmatic access to Turkey's Ministry of Justice Legislation Information System (mevzuat.gov.tr), enabling users to search legislation, retrieve article hierarchies, and fetch article contents in Markdown format through natural language.

Next.js MCP Server Example

A sample implementation of Model Context Protocol server using Next.js and the Vercel MCP Adapter, allowing developers to create custom AI agent backends with tools, prompts, and resources.

JXA Mail MCP

A high-performance MCP server for Apple Mail that uses optimized JavaScript for Automation (JXA) to search and manage emails. It enables users to list accounts, fetch mailboxes, and retrieve today's, unread, or flagged messages with significantly improved speed through batch property fetching.

Parallel Search MCP

Enables web search capabilities within MCP-compatible LLM clients using the Parallel Search API. Designed for daily use and everyday smaller web-search tasks.

Backbone.js Documentation MCP Server

Provides access to Backbone.js documentation chapters as readable resources and enables full-text search across all chapters. Users can browse documentation content and search for specific topics within the Backbone.js framework materials.

0pi-mcp-server

Store and retrieve data objects for free. Temporary cloud storage for agents. Two hour expiry. Works with any format and flow. Example use cases include: * Manage large datasets across different sessions * Generate shareable links for intermediate results * Streamline complex workflows by bridging information between multiple contexts

TypeScript MCP Server Boilerplate

A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK, with example implementations of tools (calculator, greeting) and resources (server info).

Weather MCP Server

This is a tutorial repo about MCP server and client

Qonto MCP Server

Enables interaction with Qonto's Business API for banking operations. Supports all API key-accessible endpoints for managing business banking transactions and account information.

BVG MCP Server

An MCP server for interacting with the Berlin Public Transport (BVG) API to search for locations and plan journeys. It provides real-time access to departures, arrivals, trip details, and vehicle tracking within Berlin's transit network.

spring-ai-mcp-server

这个仓库包含用于 Spring AI Vibe 编码的演示 MCP 服务器。

FinQ4Cn-mcp-server

适合国内使用的量化金融 MCP (Message Communication Protocol) 服务器，需要考虑以下几个关键因素： * **低延迟和高吞吐量：** 量化交易对延迟非常敏感，因此MCP服务器必须能够快速处理大量消息。 * **可靠性：** 确保消息传递的可靠性，避免数据丢失。 * **易于集成：** 方便与现有的交易系统、数据源和算法策略集成。 * **安全性：** 保护交易数据和策略的安全性。 * **合规性：** 符合国内监管要求。 * **技术支持：** 能够提供及时的技术支持。 基于这些因素，以下是一些可能适合国内使用的量化金融 MCP 服务器选项，以及一些相关的技术和平台： **1. 基于开源消息队列的方案:** * **RabbitMQ:** 一个流行的开源消息队列，支持多种消息协议，具有良好的可靠性和可扩展性。 可以通过配置和优化来满足量化交易的需求。 在国内有广泛的应用，社区支持良好。 * **优点:** 成熟稳定，社区活跃，文档丰富，易于部署和维护。 * **缺点:** 性能可能不如专门为金融交易设计的系统。需要进行优化才能满足低延迟需求。 * **Kafka:** 一个高吞吐量的分布式消息系统，最初由 LinkedIn 开发，现在是 Apache 项目。 适合处理大量数据流，可以用于实时数据订阅和发布。 * **优点:** 高吞吐量，可扩展性强，适合处理海量数据。 * **缺点:** 延迟可能比 RabbitMQ 稍高。配置和管理相对复杂。 * **ZeroMQ (ØMQ):** 一个高性能的异步消息库，而不是一个完整的消息队列服务器。 它提供了一种灵活的方式来构建分布式应用，可以实现低延迟的消息传递。 * **优点:** 极低的延迟，高度灵活，适合构建定制化的消息系统。 * **缺点:** 需要自己处理消息的持久化和可靠性。学习曲线较陡峭。 **2. 基于商业消息中间件的方案:** * **IBM MQ:** 一个成熟的商业消息中间件，具有强大的可靠性和安全性。 适合对可靠性要求非常高的场景。 * **优点:** 可靠性高，安全性强，功能丰富。 * **缺点:** 成本较高，部署和维护相对复杂。 * **TIBCO EMS (Enterprise Message Service):** 另一个流行的商业消息中间件，提供高性能和可靠的消息传递。 * **优点:** 高性能，可靠性高，支持多种消息协议。 * **缺点:** 成本较高。 **3. 国内量化平台提供的 MCP 服务:** * **掘金量化:** 提供量化交易平台和相关的 API，可能包含内部的 MCP 服务。 * **米筐量化:** 类似掘金量化，也提供量化交易平台和 API。 * **迅投:** 提供交易系统和相关的技术服务，可能包含 MCP 解决方案。 **选择建议:** * **如果对延迟要求非常高，并且需要高度定制化的解决方案，可以考虑 ZeroMQ。** 但需要投入更多的开发工作。 * **如果需要高吞吐量和可扩展性，并且可以接受一定的延迟，可以考虑 Kafka。** * **如果需要成熟稳定、易于部署和维护的解决方案，并且对延迟要求不是特别苛刻，可以考虑 RabbitMQ。** * **如果对可靠性和安全性要求非常高，并且预算充足，可以考虑 IBM MQ 或 TIBCO EMS。** * **如果已经在使用某个量化平台，可以考虑使用该平台提供的 MCP 服务。** **其他需要考虑的因素:** * **编程语言支持:** 确保 MCP 服务器支持你使用的编程语言 (例如 Python, C++, Java)。 * **网络环境:** 考虑国内的网络环境，选择能够适应复杂网络环境的 MCP 服务器。 * **监控和告警:** 选择提供完善的监控和告警功能的 MCP 服务器，以便及时发现和解决问题。 * **压力测试:** 在实际部署之前，进行充分的压力测试，以确保 MCP 服务器能够满足交易需求。 **总结:** 选择适合国内使用的量化金融 MCP 服务器需要综合考虑延迟、吞吐量、可靠性、易于集成、安全性、合规性和技术支持等因素。 建议根据实际需求进行评估和选择。 同时，建议与国内的量化平台和技术服务提供商进行咨询，获取更专业的建议。 希望这些信息对您有所帮助！

BWA MCP Server

Enables AI assistants to perform DNA/RNA sequence alignment using BWA (Burrows-Wheeler Aligner), supporting both short and long read alignment to reference genomes with indexing, BWA-MEM, and BWA-backtrack algorithms.

groww-mcp

An MCP server that enables users to manage equity holdings, execute trades, and track market data on Groww using natural language. It supports mutual fund investments and SIP management, including a mock mode for risk-free testing.

MCP Ashby Connector

An MCP server that enables LLMs to interact with Ashby's Applicant Tracking System for managing candidates, jobs, applications, and interviews. It supports data operations, batch processing, and access to pipeline analytics and reporting.

SeeDream Image MCP

Enables AI-powered image generation using Volcano Engine's SeeDream 4.0 model. Supports custom sizes, reference images, and automatic prompt generation without complex prompting.