MCP server exposing Nova Mesh agents and skills to Claude Desktop, Cursor, VS Code, and any MCP-compatible client
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# meganova-mcp-server MCP server for [MegaNova AI](https://meganova.ai) — expose LLM inference, image/video generation, embeddings, cloud agents, and Nova Mesh routing to any MCP-compatible client (Claude Desktop, Cursor, VS Code, Windsurf, etc.). ## What It Does | MCP Primitive | Capabilities | |---------------|-------------| | **Tools — Inference** | `chat_completion`, `create_embeddings`, `rerank_documents` | | **Tools — Media** | `generate_image`, `generate_video`, `transcribe_audio` | | **Tools — Models** | `list_models` (with filtering by modality, family, use case) | | **Tools — Cloud Agents** | `cloud_agent_info`, `cloud_agent_chat`, `cloud_agent_confirm_tool` | | **Tools — Nova Mesh** | `route_task`, `chat_with_agent`, `list_agents`, `get_agent_info`, `execute_dag`, `get_call_log` | | **Tools — Skills** | `list_skills`, `execute_skill`, `search_catalog` | | **Resources** | `nova://agents` (index), `nova://agents/{name}` (profile) | | **Prompts** | `route_task_prompt`, `agent_chat_prompt`, `skill_discovery_prompt` | ## Quick Start ### Install ```bash pip install meganova-mcp-server ``` Or from source: ```bash git clone https://github.com/MeganovaAI/meganova-mcp-server.git cd meganova-mcp-server pip install -e . ``` ### Configure Set environment variables: ```bash export MEGANOVA_API_KEY=your-api-key # Required export MEGANOVA_API_URL=https://api.meganova.ai/v1 # Default export MEGANOVA_STUDIO_URL=https://studio-api.meganova.ai # Default export NOVA_MESH_URL=https://your-mesh-endpoint # Optional, for mesh tools ``` ### Run (stdio) ```bash meganova-mcp-server ``` ### Run (HTTP) ```bash MCP_TRANSPORT=http MCP_PORT=8080 meganova-mcp-server ``` ## Client Setup ### Claude Desktop Add to `claude_desktop_config.json`: ```json { "mcpServers": { "meganova": { "command": "meganova-mcp-server", "env": { "MEGANOVA_API_KEY": "your-api-key" } } } } ``` ### Claud…
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