ktabori dixa mcp

WHAT IT CONNECTS

What ktabori dixa mcp gives an AI Agent

• **Resources**
• Search conversations
• Get conversation details
• Get conversation notes
• Get conversation messages
• Get available tags
• **Tools**
• Add tags to conversations
• Remove tags from conversations
• `DIXA_API_KEY`: Your Dixa API key
• `DIXA_API_BASE_URL` (optional): Override the default API URL (defaults to 'https://dev.dixa.io/v1')
• Set up environment variables:
• Start the server:
• Create a schema in `src/schemas/`
• Create the resource in `src/resources/`
• Add the resource to `src/dixa.ts`
• Create the tool in `src/tools/`
• Add the tool to `src/dixa.ts`
• `DixaError`: Base error class for API errors
• `DixaValidationError`: For response validation failures
• https://github.com/apinetwork/piapi-mcp-server
• https://github.com/Meeting-Baas/meeting-mcp - Meeting BaaS MCP server that enables AI assistants to create meeting bots, search transcripts, and manage recording data
• FastMCP is inspired by the [Python implementation](https://github.com/jlowin/fastmcp) by [Jonathan Lowin](https://github.com/jlowin).
• Parts of codebase were adopted from [LiteMCP](https://github.com/wong2/litemcp).
• Parts of codebase were adopted from [Model Context protocolでSSEをやってみる](https://dev.classmethod.jp/articles/mcp-sse/).
• Follow the existing patterns for resources and tools
• Add proper JSDoc documentation
• Use the shared utilities in `types.ts` and `config.ts`
• Update the README if adding new features