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- Remove chat tool (LLM users should connect directly via SDK or base URL)
- MCP Server now focused on media generation: image, video, music, audio
- 8 tools: list_models, get_model_info, list_actions, check_pricing, search_prompts, check_balance, create_task, get_task
"description": "AI image generation, video generation, music creation, text-to-speech, and LLM chat — 130+ models from 18 providers via RunAPI MCP server.",
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"repository": "https://github.com/runapi-ai/mcp",
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"author": {
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"name": "RunAPI",
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"url": "https://runapi.ai"
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},
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"license": "Apache-2.0",
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"interface": {
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"displayName": "RunAPI MCP Server",
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"shortDescription": "130+ AI models for image, video, music, audio, and LLM — one MCP server",
Copy file name to clipboardExpand all lines: README.md
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<h1align="center">RunAPI MCP Server</h1>
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<palign="center">
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<strong>AI image generation, video generation, music creation, text-to-speech, prompt search, and LLM chat — 130+ models from Flux, Kling, Seedance, Veo, Suno, ElevenLabs, Claude, GPT, Gemini, and 18 providers in one MCP server.</strong>
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<strong>AI image generation, video generation, music creation, text-to-speech, prompt search, and model discovery — 130+ models from Flux, Kling, Seedance, Veo, Suno, ElevenLabs, Claude, GPT, Gemini, and 18 providers in one MCP server.</strong>
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</p>
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## What Is This?
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RunAPI MCP Server connects MCP-compatible coding tools to RunAPI.
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It lets an assistant browse the RunAPI catalog, inspect model inputs, check current pricing snapshots, create media tasks, poll task status, check account balance, and call RunAPI LLM endpoints.
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It lets an assistant browse the RunAPI catalog, inspect model inputs, check current pricing snapshots, create media tasks, poll task status, and check account balance.
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The discovery tools work without an API key because they use the embedded build-time catalog.
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