Frequently Asked Questions about Dixa MCP Server

Q: What is an MCP Server? A: MCP stands for Model Context Protocol. An MCP server acts as a bridge, allowing AI models to access and interact with external data sources and tools. It standardizes how applications provide context to Large Language Models (LLMs).

Q: What is the Dixa MCP Server? A: The Dixa MCP Server is a FastMCP server implementation specifically designed for the Dixa API. It provides resources and tools for managing conversations and tags within the Dixa platform.

Q: What features does the Dixa MCP Server offer? A: The server provides access to resources like searching conversations, getting conversation details, notes, and messages, and retrieving available tags. It also offers tools to add and remove tags from conversations.

Q: What environment variables are required to run the server? A: The server requires the DIXA_API_KEY environment variable, which is your Dixa API key. Optionally, you can set DIXA_API_BASE_URL to override the default API URL.

Q: How can I test the server? A: You can test the server using fastmcp dev with mcp-cli in your terminal, or use the official MCP Inspector web UI.

Q: How do I use the Dixa MCP Server with Claude Desktop? A: Follow the guide on https://modelcontextprotocol.io/quickstart/user and add the appropriate configuration to point to your server’s execution command.

Q: How do I add a new resource to the Dixa MCP Server? A: Create a schema in src/schemas/, create the resource in src/resources/, and add the resource to src/dixa.ts.

Q: How do I add a new tool to the Dixa MCP Server? A: Create the tool in src/tools/ and add the tool to src/dixa.ts.

Q: What error handling mechanisms are in place? A: The project uses custom error classes such as DixaError for API errors and DixaValidationError for response validation failures.

Q: What is UBOS? A: UBOS is a Full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. It helps you orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model, and develop Multi-Agent Systems.

Q: How does the Dixa MCP Server integrate with UBOS? A: The Dixa MCP Server can be seamlessly integrated into the UBOS platform, allowing AI Agents built on UBOS to access and manipulate Dixa conversation data. UBOS provides tools for orchestration, data integration, and custom AI Agent development.

Q: Where can I find examples of servers built using FastMCP? A: You can find examples at https://github.com/apinetwork/piapi-mcp-server and https://github.com/Meeting-Baas/meeting-mcp.