mcpbeat

CCAPI MCP Server

ai.ccapi/mcp
answering

CCAPI is answering right now. Last checked 6 min ago. It exposes 11 tools.

Image, video, music and text generation across 100+ models through one endpoint.

Uptime history 40 hours of history
40 hours agonow
100.0%
Uptime 24h
91 of 91 checks
11
Tools
read from the server
564 ms
Response time
average over 24h
open, no key
Access
streamable-http

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 6 min ago.

run in your terminal
claude mcp add mcp --transport http https://api.ccapi.ai/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mcp": {
      "url": "https://api.ccapi.ai/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.mcp]
url = "https://api.ccapi.ai/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "mcp": {
      "url": "https://api.ccapi.ai/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "mcp": {
      "url": "https://api.ccapi.ai/mcp"
    }
  }
}

Available tools 11

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

generate
generate_image
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
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
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 seconds and normally yields two variations.
generate_video
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 generation is the most expensive capability here — confirm the prompt with the user before spending on retries.
balance
get_balance
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.
chat
chat_completion
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 configured. Responses are non-streaming.
edit
edit_image
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
extend_music
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.
models
list_models
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.
task
get_task
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 seconds until it settles, or pass wait_seconds to have the server wait for you.
upscale
upscale_image
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.

Endpoints

URLTransportStateLatencyChecked
https://api.ccapi.ai/mcp streamable-http answering 406 ms 6 min ago

CCAPI — questions

Answers built from our own checks of this server.

What can CCAPI do?
It exposes 11 tools, read directly from the server on our last check. Among them: chat_completion, edit_image, extend_music, generate_image, generate_lyrics, generate_music and 5 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is CCAPI working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 564 ms. The bar chart above shows every period we have measured.
How do I connect CCAPI?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does CCAPI need an API key?
No. CCAPI completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 11 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is CCAPI?
It answers our handshake in 564 ms on average, which is faster than 18% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.