MCP server
CCAPI Official
ai.ccapi/mcp
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Image, video, music and text generation across 100+ models through one endpoint.
Working at last checkVerified publisher: ccapi.aiAbout 4,046 tokens per request once connected11 tools
https://api.ccapi.ai/mcp
At a glance
- Type
- MCP server
- Publisher
- ccapi.ai (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 11
- Token cost
- About 4,046 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http ccapi https://api.ccapi.ai/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.ccapi] url = "https://api.ccapi.ai/mcp"
Gemini CLI
{"mcpServers":{"ccapi":{"httpUrl":"https://api.ccapi.ai/mcp"}}}
Cursor
{"mcpServers":{"ccapi":{"url":"https://api.ccapi.ai/mcp"}}}
VS Code
{"servers":{"ccapi":{"type":"http","url":"https://api.ccapi.ai/mcp"}}}
Antigravity
agy mcp add ccapi https://api.ccapi.ai/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"ccapi","server_url":"https://api.ccapi.ai/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"ccapi","server_url":"https://api.ccapi.ai/mcp"}
Tools
chat_completion~421 tokens
Send a conversation to any text model available through CCAPI (Claude, GPT, Gemini, DeepSeek, GLM, MiniMax, Kimi, Qwen…) and get the reply. Useful for consulting a second model for a different perspective, running a cheap model over bulk work, or reaching a model the current client does not have conedit_image~571 tokens
Edit existing images according to an instruction, using the dedicated image edit endpoint. Provide at least one source image. For pure text-to-image, or for models that take references through the generation endpoint, use generate_image instead.extend_music~306 tokens
Continue an existing song from a given timestamp, producing a longer version. Requires the clip_id of a previously generated song, which appears in the 'raw' payload of a completed generate_music task. Asynchronous — poll with get_task.generate_image~585 tokens
Generate an image from a text prompt, optionally guided by reference images (image-to-image). Returns image URLs directly. Most models finish in 10-60 seconds; if your client times out, set async=true to get a task_id you can poll instead. This call costs money — do not retry speculatively.generate_lyrics~238 tokens
Write song lyrics from a description, without generating audio. Useful as a first step before generate_music with custom=true, so the user can approve the words before paying for audio. Asynchronous — poll with get_task.generate_music~490 tokens
Generate a song with vocals or instrumental. Two modes: simple (custom=false) where you describe the song and the model writes the lyrics, or custom (custom=true) where you supply lyrics, title and style tags. Asynchronous — returns a task_id you poll with get_task; generation usually takes 30-120 sgenerate_video~694 tokens
Generate a video from a text prompt, optionally driven by reference images (image-to-video, first/last frame). This is asynchronous: it returns a task_id you poll with get_task(platform='video'). Generation usually takes 30-180 seconds. Pass wait_seconds to have the server poll for you. Video generaget_balance~74 tokens
Report the remaining and used balance for this CCAPI key. Useful before starting an expensive batch of generations, or to explain a quota failure to the user.get_task~272 tokens
Check the status of an asynchronous generation task submitted by generate_video, generate_music, generate_lyrics, extend_music, or generate_image with async=true. Pass the platform and task_id exactly as they were returned. Status is one of queued, in_progress, completed or failed; poll every few selist_models~197 tokens
List the AI models this CCAPI key can actually call, with their capability category and the MCP tool that drives them. Call this before generating anything if you are unsure a model name is valid — availability depends on the key's group and changes over time. Never guess model names.upscale_image~198 tokens
Increase the resolution of an existing image 2x with ccapi-upscale-v1. Input must be between 256x256 and 1024x1024 and under 5 MB; for larger inputs, regenerate with a high-resolution model instead.
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