Frequently Asked Questions (FAQ) About EvoAPI MCP Server
Q: What is the EvoAPI MCP Server? A: The EvoAPI MCP Server is a bridge that connects AI agents (like those powered by Claude) with the WhatsApp messaging platform through the Evolution API. It enables AI agents to interact with WhatsApp programmatically.
Q: What is MCP (Model Context Protocol)? A: MCP (Model Context Protocol) is an open standard that standardizes how applications provide context to Large Language Models (LLMs).
Q: What are the main features of the EvoAPI MCP Server? A: Key features include WhatsApp group management, direct messaging, message history retrieval, and robust security measures.
Q: What use cases does the EvoAPI MCP Server support? A: The server supports use cases like customer support automation, lead generation, appointment scheduling, order management, personalized marketing, and internal communications.
Q: What are the prerequisites for installing the EvoAPI MCP Server? A: You need Python 3.11+, the UV package manager, and a configured Evolution API.
Q: How do I configure the EvoAPI MCP Server to work with Claude?
A: You need to create a .env file with your Evolution API credentials and configure the MCP server settings in your Claude desktop configuration file.
Q: Can I use the EvoAPI MCP Server programmatically? A: Yes, the server provides a Python API for programmatic access to WhatsApp features.
Q: What API endpoints are available in the EvoAPI MCP Server?
A: Available endpoints include get_groups(), get_group_messages(), send_message_to_group(), and send_message_to_phone().
Q: How secure is the EvoAPI MCP Server? A: The server manages credentials through environment variables, avoids hardcoding sensitive data, and adheres to security best practices.
Q: How does the UBOS platform enhance the EvoAPI MCP Server? A: UBOS provides a comprehensive suite of tools for developing, deploying, and managing AI agents, enabling features like AI agent orchestration, enterprise data connection, custom AI agent building, and multi-agent system creation.
Q: Where can I find the EvoAPI MCP Server? A: The EvoAPI MCP Server is available on the UBOS Asset Marketplace.
Q: Is there support for sending media files (images, videos) via the API? A: Currently, support for sending media is on the roadmap. Future versions will include this functionality.
Q: Are webhooks available for receiving messages? A: Webhooks for receiving messages are planned for future releases.
Q: Is there a web interface for managing the server? A: A web interface for managing the server is on the roadmap.
Q: Can I use multiple instances of the server? A: Support for multiple instances is planned for future releases.
Q: How can I contribute to the EvoAPI MCP Server project? A: You can contribute by forking the project, creating a feature branch, committing your changes, pushing to the branch, and opening a pull request.
EvoAPI WhatsApp Integration Server
Project Details
- ecodelearn/evoapi-mcp
- MIT License
- Last Updated: 6/8/2025
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