A Model Context Protocol (MCP) project for VoiSpark.
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# Voispark MCP Server ## Overview A Model Context Protocol (MCP) server implementation for Voispark, enabling advanced AI-powered voice and language capabilities. This server allows interaction with Voispark services for tasks such as speech analysis, speech synthesis, and more. ## Components ### Resources <!-- Describe resources like voispark://audio/<id>, voispark://models/<model_id> --> ### Prompts <!-- Describe any interactive prompts your server provides --> ### Tools <!-- Describe tools like analyze_speech, generate_speech --> ## Usage with Client Applications (e.g., Claude Desktop) To integrate this server with a client application, configure the client to run this MCP server. ### Using `uv` (recommended for local development) Add the following to your client's server configuration (e.g., `claude_desktop_config.json`): ```json { "mcpServers": { "voispark": { "command": "uvx", "args": ["voispark_mcp"], "env": { "VOISPARK_API_KEY": "<YOUR_API_KEY>" } } } } ``` ## Usage with VS Code For quick installation, you can adapt the VS Code MCP installation methods. (The following are conceptual examples and would need actual redirect URLs for Voispark MCP if you create them.) <!-- [](your-vscode-uv-install-url) --> For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code (`Ctrl + Shift + P` -> `Preferences: Open User Settings (JSON)`) or to a `.vscode/mcp.json` file in your workspace. ### Using `uvx` (for executing installed package) ```json { "mcp": { "servers": { "voispark": { "command": "uvx", "args": ["voispark_mcp"], "env": { "VOISPARK_API_KEY": "<YOUR_API_KEY>" } } } } } ``` ## Building ### Local Package Your package is built/installed when you run: ```bash uv pip in…
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