MCP Server for Z.AI - A Model Context Protocol server that provides AI capabilities
CCAPI is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
Image, video, music and text generation across 100+ models through one endpoint.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http ccapi-mcp https://api.ccapi.ai/mcp
# 2 — ask your agent for something these tools do
# chat_completion, edit_image, extend_music and 8 more
CCAPI costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http ccapi-mcp https://api.ccapi.ai/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
11 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| model | string | yes | Exact model name, e.g. claude-sonnet-5 or deepseek-v4-pro. Call list_models with category 'text' if unsure. |
| messages | null/array | yes | Conversation so far, oldest first. Must contain at least one message. |
| max_tokens | null/integer | no | Maximum tokens to generate. Omit for the model default. |
| temperature | null/number | no | Sampling temperature, typically 0-2. Omit for the model default. |
| top_p | null/number | no | Nucleus sampling probability mass, 0-1. Omit for the model default. |
| stop | null/array | no | Up to 4 sequences that stop generation. |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| model | string | yes | Exact model name, e.g. gpt-image-2 or nano-banana-pro. Call list_models with category 'image' if unsure. |
| prompt | string | yes | Description of the image to generate. |
| images | null/array | no | Optional reference images as HTTPS URLs or data URLs, for image-to-image generation. Not all models accept references. |
| size | string | no | Output size, e.g. 1024x1024, 1536x1024, or 'auto'. Model-dependent; omit for the model default. |
| n | null/integer | no | How many images to generate. Defaults to 1. Each one is billed. |
| quality | string | no | Quality hint, e.g. low, medium, high or auto. Model-dependent. |
| response_format | string | no | 'url' (default) returns links; 'b64_json' returns base64 data, which is far larger and usually unnecessary. |
| aspect_ratio | string | no | Z-Image only: required output aspect ratio. Supported values: 1:1, 4:3, 3:4, 16:9, 9:16. |
| nsfw_checker | null/boolean | no | Z-Image only: enable or disable the upstream NSFW checker. Explicit false is preserved. |
| async | boolean | no | Submit asynchronously and return a task_id instead of waiting. Use when the client times out on slow models; poll with get_task using platform 'image'. |
| wait_seconds | null/integer | no | Only with async: poll server-side for up to this many seconds (max 240) and return the finished image if it completes in time. |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| clip_id | string | yes | ID of the song to extend, taken from the 'raw' clip list of a completed generate_music task. |
| continue_at | number | yes | Timestamp in seconds within the original song to continue from. |
| prompt | string | no | Lyrics for the extended section. |
| title | string | no | New title for the extended song. |
| tags | string | no | Style tags for the extension. |
| provider | string | no | Music backend: 'suno' (default) or 'producer'. |
| wait_seconds | null/integer | no | Poll server-side for up to this many seconds (max 240). |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| model | string | yes | Exact model name, e.g. gpt-image-2 or nano-banana-pro. Call list_models with category 'image' if unsure. |
| prompt | string | yes | Description of the image to generate. |
| images | null/array | no | Optional reference images as HTTPS URLs or data URLs, for image-to-image generation. Not all models accept references. |
| size | string | no | Output size, e.g. 1024x1024, 1536x1024, or 'auto'. Model-dependent; omit for the model default. |
| n | null/integer | no | How many images to generate. Defaults to 1. Each one is billed. |
| quality | string | no | Quality hint, e.g. low, medium, high or auto. Model-dependent. |
| response_format | string | no | 'url' (default) returns links; 'b64_json' returns base64 data, which is far larger and usually unnecessary. |
| aspect_ratio | string | no | Z-Image only: required output aspect ratio. Supported values: 1:1, 4:3, 3:4, 16:9, 9:16. |
| nsfw_checker | null/boolean | no | Z-Image only: enable or disable the upstream NSFW checker. Explicit false is preserved. |
| async | boolean | no | Submit asynchronously and return a task_id instead of waiting. Use when the client times out on slow models; poll with get_task using platform 'image'. |
| wait_seconds | null/integer | no | Only with async: poll server-side for up to this many seconds (max 240) and return the finished image if it completes in time. |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| prompt | string | yes | Description of the lyrics to write, e.g. 'a love song about meeting someone at a coffee shop'. |
| lyrics_model | string | no | Lyrics model: classic or remi. |
| provider | string | no | Music backend: 'suno' (default) or 'producer'. |
| wait_seconds | null/integer | no | Poll server-side for up to this many seconds (max 240). Lyrics usually finish in under 30 seconds. |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| prompt | string | yes | In simple mode (custom=false) a description of the song, e.g. 'a dreamy lo-fi track about late-night trains'. In custom mode (custom=true) the actual lyrics, with section markers like [Verse] and [Cho |
| custom | boolean | no | false (default) lets the model write the lyrics from your description; true means prompt contains lyrics you wrote and you should also set title and tags. |
| title | string | no | Song title. Used in custom mode. |
| tags | string | no | Comma-separated style tags, e.g. 'pop, upbeat, guitar'. Max 200 characters. |
| negative_tags | string | no | Styles to avoid, e.g. 'heavy metal, rap'. |
| instrumental | boolean | no | Generate without vocals. |
| model | string | no | Suno model version, e.g. chirp-v5 or chirp-v4-5-plus. Omit for the platform default. |
| provider | string | no | Music backend: 'suno' (default) or 'producer'. |
| wait_seconds | null/integer | no | Poll server-side for up to this many seconds (max 240) and return finished audio if it completes in time. Omit to return a task_id immediately. |
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 ret
| Parameter | Type | Required | Notes |
|---|---|---|---|
| model | string | yes | Exact model name, e.g. doubao-seedance-2-0-260128, veo-3.1-quality or viduq3-pro. Call list_models with category 'video' if unsure. |
| prompt | string | yes | Description of the video to generate. |
| images | null/array | no | Optional reference image URLs. A single image is used as the first frame; use image_roles to control multiple. |
| videos | null/array | no | Optional Seedance reference video URLs or asset:// URIs returned by the trusted asset catalog. |
| audios | null/array | no | Optional Seedance reference audio URLs or asset:// URIs returned by the trusted asset catalog. Reference audio cannot be used alone. |
| duration | null/integer | no | Clip length in seconds. Model-dependent, typically 4-15; an unsupported value is rejected with a message naming the supported ones. Omit for the model default. |
| resolution | string | no | Output resolution: 480p, 720p (widest compatibility) or 1080p. Model-dependent. |
| ratio | string | no | Aspect ratio, e.g. 16:9, 9:16, 1:1, 21:9 or adaptive. Which values a model accepts varies; an unsupported one is rejected with a message naming the valid ones. |
| generate_audio | null/boolean | no | Generate a synchronised soundtrack. Only some models support this. |
| image_roles | null/array | no | Role of each entry in images, positionally: first_frame, last_frame or reference_image. |
| wait_seconds | null/integer | no | Poll server-side for up to this many seconds (max 240) and return the finished video if it completes in time. Omit to return a task_id immediately. |
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.
No parameter schema on file.
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| platform | string | yes | Platform the task belongs to, exactly as returned by the submit tool: image, video, suno or producer. |
| task_id | string | yes | Task identifier returned by the submit tool. |
| wait_seconds | null/integer | no | Poll server-side for up to this many seconds (max 240) and return once the task finishes. Omit for a single immediate status check. |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| category | string | no | Filter by capability. One of: text, image, video, music, embedding, other. Omit to list every model this key can use. |
| search | string | no | Case-insensitive substring match on the model name, e.g. 'claude' or 'seedance'. |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| image | string | yes | The image to upscale, as an HTTPS URL, data URL, or raw base64. Width and height must each be 256-1024 px and the file at most 5 MB. |
| model_quality | string | no | Upscale quality hint: HQ, MQ (default) or LQ. |
| response_format | string | no | 'url' (default) or 'b64_json'. |
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install CCAPI or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | moderate | capability blast radius (moderate) — client exposure if the model is manipulated | −3 |
| coverage-honesty | manifest | inspection depth (manifest) — how much of the target the scan could see | −4 |
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
The scan read each tool’s name, description, input schema and annotations exactly as the server listed them the last time it answered us; no code was reviewed. We ask the server again about once a month, and a list that changed is graded again.
The implementation source was not read — this reflects the declared tool metadata only.
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. moderate is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| chat_completion | no tags | |
| edit_image | external-sink | external-sink: declares readOnlyHint: false, openWorldHint: true |
| extend_music | external-sink | external-sink: declares readOnlyHint: false, openWorldHint: true |
| generate_image | external-sink | external-sink: declares readOnlyHint: false, openWorldHint: true |
| generate_lyrics | external-sink | external-sink: declares readOnlyHint: false, openWorldHint: true |
| generate_music | external-sink | external-sink: declares readOnlyHint: false, openWorldHint: true |
| generate_video | external-sink | external-sink: declares readOnlyHint: false, openWorldHint: true |
| get_balance | no tags | |
| get_task | no tags | |
| list_models | no tags | |
| upscale_image | external-sink | external-sink: declares readOnlyHint: false, openWorldHint: true |
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.0.1.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish CCAPI can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.