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A multi-agent human-computer interaction system that enables natural interaction through integrated visual recognition, speech recognition, and speech synthesis capabilities.

Enables safe Python code execution in isolated Docker containers through the AgentRun framework. Provides automatic container lifecycle management and comprehensive error handling for secure and reproducible code execution.

Provides FastMCP-based servers with various tools for AI assistants including math operations, file management, note-taking, todo management, and database operations. Offers both basic and advanced server configurations with tools, resources, and prompt templates.

An autonomous agent ecosystem that leverages Groq for high-performance reasoning and Playwright for web automation via the Model Context Protocol. It features an interactive CLI and a custom server providing a run_task tool for orchestrating multi-server workflows.

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.

全面解析MCP Llm SandboxMCP 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 Llm Sandbox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。

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

MCP Bbfa6b51

全面解析MCP Coding Server Demo AppMCP 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 Coding Server Demo App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。

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.