MCP Server for Z.AI - A Model Context Protocol server that provides AI capabilities
Nothing to run from here
ChinaAPI 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.
4
tools declared
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trust score
remote
at its publisher
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calls last 7d
What it does
Read-only ChinaAPI model catalogue, price snapshot, cost estimates and request recipes.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http chinaapi-mcp https://api.chinaapi.ai/mcp
# 2 — ask your agent for something these tools do
# chinaapi_estimate_cost, chinaapi_get_model, chinaapi_get_recipe and 1 more
ChinaAPI costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
CHAll 1 server
chinaapi1 server
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
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.
Claude Codedeclared by this listing
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 chinaapi-mcp https://api.chinaapi.ai/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it answers at its publisher’s own address: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it writes
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.
What you approve
4 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.
Estimate the USD cost of a workload on one model from its published per-meter prices: Standard, and Paid where it is lower. Pass quantities in the model's own units — tokens for text models, characters for speech synthesis, audio seconds for transcription, requests, images or video seconds for per-call and per-second models; a quantity the model does not price is refused. Tiered models are estimat
| Parameter | Type | Required | Notes |
|---|---|---|---|
| audio_input_tokens | integer | no | Quantity in tokens for the audio_input meter (models billed in tokens). |
| audio_output_tokens | integer | no | Quantity in tokens for the audio_output meter (models billed in tokens). |
| audio_seconds | integer | no | Quantity in audio seconds for the input meter (models billed in audio_duration). |
| cache_read_tokens | integer | no | Quantity in tokens for the cache_read meter (models billed in tokens). |
| cache_write_1h_tokens | integer | no | Quantity in tokens for the cache_write_1h meter (models billed in tokens). |
| cache_write_tokens | integer | no | Quantity in tokens for the cache_write meter (models billed in tokens). |
| characters | integer | no | Quantity in characters for the input meter (models billed in characters). |
| context_tokens | integer | no | Input context length used to choose a context-length tier. Only for models whose tiers depend on context length; defaults to the input and cache tokens. |
| image_input_tokens | integer | no | Quantity in tokens for the image_input meter (models billed in tokens). |
| image_output_tokens | integer | no | Quantity in tokens for the image_output meter (models billed in tokens). |
| images | integer | no | Quantity in images for the image_n meter. |
| input_tokens | integer | no | Quantity in tokens for the input meter (models billed in tokens). |
| model | string | yes | Exact, case-sensitive model ID as returned by chinaapi_list_models. |
| output_tokens | integer | no | Quantity in tokens for the output meter (models billed in tokens). |
| requests | integer | no | Quantity in requests for the per_call meter. |
| video_seconds | integer | no | Quantity in seconds for the video_second meter. |
Get one model by its exact ID: base URL and endpoints, the Standard and Paid price snapshot per meter with the time it was read and the price-book versions, context window and modalities, capability contract, limits, and ChinaAPI links (model page, a start link to try it, the agents guide). The live price on the model page is authoritative.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| model | string | yes | Exact, case-sensitive model ID as returned by chinaapi_list_models. |
Get a runnable request for one model — endpoint, headers, JSON body or multipart form, a curl command, and for video the polling step — exactly as ChinaAPI's /agents page shows it. Optionally include the configuration that points a coding agent (Claude Code, Codex, Cursor, …) at ChinaAPI. The request uses $CHINAAPI_KEY; never put a real key into it.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| agent | string | no | Also return the configuration that points this coding agent at ChinaAPI, as ChinaAPI's /agents page shows it. |
| capability | string | no | Which of the model's capabilities the request is for; defaults to its first published capability. |
| model | string | yes | Exact, case-sensitive model ID as returned by chinaapi_list_models. |
| protocol | string | no | Inbound protocol for text models: openai (/v1/chat/completions), anthropic (/v1/messages) or responses (/v1/responses). Defaults to the agent's protocol, else openai. |
List the models ChinaAPI serves, optionally filtered by capability, task, maker or a model-ID substring. Each entry has the exact model ID, maker, capabilities and tasks, context window, headline Standard prices (and Paid prices where they are lower) and the model's ChinaAPI page. Sorted by maker, then model ID; page with cursor. Use chinaapi_get_model for one model's endpoints, full prices and li
| Parameter | Type | Required | Notes |
|---|---|---|---|
| capability | string | no | Capability direction: text-multimodal (chat, reasoning, coding, vision), image, video, audio-speech or decision. |
| cursor | string | no | next_cursor from the previous page. |
| limit | integer | no | Models per page. |
| maker | string | no | Maker name exactly as returned in maker (case-insensitive), e.g. DeepSeek. |
| query | string | no | Case-insensitive substring of the model ID. |
| task | string | no | A task within a capability, e.g. image-to-video or transcription. Must belong to capability when both are given. |
Free
$0 forever
- 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 ChinaAPI or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
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Alert at 80% · then the tool returns a normal MCP error
Used this month: —
—Grade not published
No rule-by-rule report on file for this release
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.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
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 1.0.0.
1.0.0
undated
latestNo release note was published with this version.
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no reviews yet
Who can review
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.
Sign in to write one
Any signed-in account that does not publish ChinaAPI can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
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.