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Facilitates interaction and context sharing between AI models using the standardized Model Context Protocol (MCP) with features like interoperability, scalability, security, and flexibility across diverse AI systems.

MCP server that enables AI agents to autonomously buy virtual phone numbers and receive SMS verification codes. Supports multiple providers (5sim, SMS-Activate, OnlineSim) with automatic cheapest-provider selection.

Automatically tracks and logs all client-agent conversations in real-time without user intervention. Provides conversation history, analytics, weather tools, and continuous system health monitoring with complete request-response pair recording.

An MCP server that integrates Alibaba's DashScope platform, providing AI chat tools and resource access through both standard stdio and a web-based interface. It allows users to interact with DashScope large models within the Model Context Protocol ecosystem using TypeScript.

A comprehensive system for managing AI-assisted agile development workflows with a modern, resource-based API using FastMCP.

MCP All

全面解析MCP AllMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，MCP All能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Enables AI assistants to interact with the Apify platform to manage actors, monitor runs, and retrieve scraped data from datasets. It supports natural language commands for executing web scrapers, managing tasks, and accessing key-value stores.

A unified local API gateway providing caching, rate limiting, and full Model Context Protocol compatibility for AI agent integration. It enables users to aggregate multiple API endpoints into a single gateway with built-in observability and customizable eviction strategies.

A Model Context Protocol server that enables AI assistants to make HTTP requests (GET, POST, PUT, DELETE) to external APIs through standardized MCP tools.

Model Context Protocol server that integrates with Atlassian Confluence and Jira, enabling AI assistants to search, create, and update content in these platforms through natural language interactions.

A crash course for Python developers on building and integrating Model Context Protocol (MCP) servers into production applications and agent systems.

An MCP server that connects AI agents to over 200 tools across 27 Brazilian public APIs, covering economic, legislative, transparency, and judicial data. It enables users to query and cross-reference extensive government datasets from sources like IBGE, the Central Bank, and the Brazilian Congress.

Connects AI agents to 28 Brazilian public APIs, providing over 200 tools to access data on economy, legislation, transparency, and the judiciary. It enables complex queries and cross-referencing of government datasets like IBGE, the Central Bank, and the National Congress through natural language.

Provides OpenAPI validation and analysis tools to assist developers in building Model Context Protocol servers. It generates developer context and specific agent prompts based on API specifications to streamline the creation of agentic workflows.

An MCP server that integrates with the Carvana marketplace to enable vehicle searching, financing estimation, and trade-in value assessments. It allows AI assistants to retrieve detailed vehicle information, history reports, and market insights directly from Carvana's inventory.

Central Bank of Russia (CBR) data for AI agents — daily and historical currency rates, key rate, inflation, and macro statistics. Five typed MCP tools, in-memory TTL cache, MIT-licensed, no API key required.

A lightweight server that enables multi-agent orchestration by allowing agents to communicate through direct messages and named channels. It provides tools for agents to discover each other, create communication channels, and exchange messages via a central broker.

全面解析MCP ClockifyMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，MCP Clockify能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Facilitates structured creative thinking through sequential thought processing, helping users shift from reactive problem-solving to proactive outcome creation using structural tension analysis and stage-based thinking workflows.

Enables AI agents to query cryptocurrency data including prices, market cap, rankings, categories, and global metrics from CoinMarketCap via MCP tools.