ZBS Index What actually exists in applied AI, with the source next to it

mcp server

CCAPI

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

Description as published by the maintainer. Source

  • version 1.0.1
  • active

active — Registry entry last updated 2026-08-02.

What this server can do

11 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

chat_completion(stop, model, top_p, messages, max_tokens, temperature)
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. Required: model, messages.
edit_image(n, size, async, model, images, prompt, quality, aspect_ratio, nsfw_checker, wait_seconds, response_format)
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. Required: model, prompt.
extend_music(tags, title, prompt, clip_id, provider, continue_at, wait_seconds)
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. Required: clip_id, continue_at.
generate_image(n, size, async, model, images, prompt, quality, aspect_ratio, nsfw_checker, wait_seconds, response_format)
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. Required: model, prompt.
generate_lyrics(prompt, provider, lyrics_model, wait_seconds)
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. Required: prompt.
generate_music(tags, model, title, custom, prompt, provider, instrumental, wait_seconds, negative_tags)
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. Required: prompt.
generate_video(model, ratio, images, prompt, duration, resolution, image_roles, wait_seconds, generate_audio)
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. Required: model, prompt.
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.
get_task(task_id, platform, wait_seconds)
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. Required: platform, task_id.
list_models(search, category)
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(image, model_quality, response_format)
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. Required: image.

Last successful function declaration observed on . Source: https://api.ccapi.ai/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://api.ccapi.ai/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
Latest published version 1.0.1 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-08-02 When the registry record was last updated by its maintainer. point in time Model Context Protocol
First listed in the MCP Registry 2026-08-02 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
mcp tools declared 11 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe api.ccapi.ai
mcp endpoint status ok The server listed 11 functions when asked. as of probe api.ccapi.ai

Where to get it

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. Tools declared by the MCP server at https://api.ccapi.ai/mcp — api.ccapi.ai, observed , trust tier 1.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.