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MCP stands for Model Context Protocol, which is a core component of our platform. It defines the standard for how Agents understand and process context information, enabling intelligent entities to efficiently handle user requests in complex scenarios. MCP manages the model's context window in a standardized way, ensuring Agents can efficiently store and retrieve key information within limited context length, maintaining coherence and memory during conversations.

Our Agents are not just simple AI assistants, but intelligent entities with specific expertise and autonomous execution capabilities. Each Agent is specially trained to understand domain-specific requirements, execute complex task chains, and continuously optimize its performance based on feedback. Agents can also work collaboratively to solve complex cross-domain problems, a capability that regular AI assistants cannot achieve.

Creating a TopAgent is simple: First, log into your account and navigate to the "Agent Management" page. Click the "Create TopAgent" button, name your Agent and select its area of expertise. Next, configure its knowledge base, response style, and authorization level. You can start with our provided templates or completely customize it. Finally, set trigger conditions and workflows, then save and activate your TopAgent. Our wizard will guide you through this process.

TopAgent is an advanced intelligent entity on our platform with stronger autonomy and broader permissions. Compared to regular Agents, TopAgent can invoke multiple sub-Agents to work collaboratively, manage complex workflows, access more system resources, and make decisions automatically based on context. TopAgent also has learning capabilities and can continuously optimize its performance from historical interactions. These features make TopAgent particularly suitable for handling complex tasks that require deep thinking and multi-step execution.

The key to improving Agent performance is providing high-quality training data and continuous feedback. Regularly update your Agent's knowledge base to ensure information is accurate and current. Use our "Performance Analysis Dashboard" to monitor your Agent's response quality and user satisfaction. Enable "Learning Mode" to let your Agent learn from successful interactions. Additionally, consider designing clear workflows for complex tasks and setting appropriate decision thresholds. If needed, you can also adjust your Agent's balance between "creativity" and "rigor" to suit different types of task requirements.

Our MCP system supports a wide range of integration options, including REST APIs, WebSocket connections, OAuth authentication systems, and various database interfaces. It can seamlessly integrate with common large language models (such as GPT, Claude, LLaMA, etc.) and connect to commonly used enterprise tools like Salesforce, Slack, Microsoft Teams, Google Workspace, etc. We also provide SDKs and development kits for custom integrations, supporting mainstream programming languages such as Python, JavaScript, Java, and C#. All APIs have detailed documentation and example code available in the developer portal.

Yes, our system provides comprehensive multilingual support. MCP and Agents support over 100 languages, including but not limited to English, Chinese, Japanese, Korean, Spanish, French, German, Russian, Arabic, and more. The system automatically detects the language of user input and responds in the corresponding language. You can set a default language in the Agent configuration, or let the Agent dynamically switch based on user language. Our translation API also allows Agents to convert content between different languages in real-time, making cross-language collaboration and service possible. For domain-specific terminology, you can provide multilingual glossaries to ensure translation accuracy.

Configuring Agents to support multiple languages is straightforward: 1) In the Agent settings panel, navigate to the "Languages & Localization" section; 2) Select the languages you wish to support (multiple selections allowed); 3) Upload language-specific knowledge base content or use automatic translation functionality; 4) Customize language detection thresholds and switching behavior; 5) Set language-specific response templates and tone adjustments; 6) Test the Agent's performance in different languages and fine-tune as needed. For TopAgents, you can also automatically route to different specialized Agents based on language. The system saves user language preferences by default, but you can also allow users to switch languages at any time during interactions.

We implement multi-layered security measures to protect your Agents and data. All data transmission uses TLS 1.3 encryption, and stored data uses AES-256 encryption. We implement strict access controls, support multi-factor authentication, and provide detailed audit logs. You can set permission boundaries for each Agent to limit its data access scope. The platform regularly conducts security audits and penetration testing, and complies with major data protection regulations such as GDPR and CCPA. Enterprise users can also choose data retention policies and private cloud deployment options to further enhance security.

Our Agents can perform various automated tasks, including but not limited to: data collection and analysis, content generation and optimization, customer service and support, process automation, decision assistance, intelligent recommendations, anomaly detection, scheduling and reminders, document processing, etc. TopAgent can also coordinate multiple tasks, manage complex workflows, and even make autonomous decisions in specific scenarios. Through our visual workflow editor, you can design automation processes of almost any complexity without programming knowledge.

We provide comprehensive analytics dashboards that allow you to monitor your Agent's performance and usage in real-time. You can view key metrics such as response time, accuracy, user satisfaction, active users, task completion rate, etc. The system also generates detailed usage reports to help you identify trends and optimization opportunities. For enterprise users, we provide advanced analytics features including custom reports, anomaly detection, and predictive analytics. You can also set performance threshold alerts to notify you when metrics decline.

There are multiple ways to connect a knowledge base with your Agent: 1) Direct document upload: Upload PDF, Word, Excel, or text files on the Agent configuration page, and the system will automatically extract and index the content; 2) Connect data sources: Configure database connections or API endpoints to give Agents direct access to structured data; 3) Use knowledge base connectors: Integrate with existing knowledge management systems such as Confluence, SharePoint, or Notion; 4) Website crawling: Provide URLs to your Agent, and it will automatically crawl and index the content. All data is processed into vector embeddings, supporting semantic search, allowing Agents to understand context and provide precise answers.