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Z.AI MCP, Ready to Go

Use Z.AI with Claude or Cursor to generate images, videos, and parse complex documents with your AI agent.

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No credit card required. Experience the power of this integration risk-free.

Generate multimodal content and parse complex documents with a single prompt.

Z.AI MCP for AI Agents

Works with every AI agent you already use

…and any MCP-compatible client

Cursor AI Code EditorClaude Desktop AppOpenAI Agents SDKVisual Studio CodeGitHub Copilot AI AgentGoogle Gemini AILovable AI DevelopmentMistral AI AgentsAmazon AWS Bedrock

How fast is the Z.AI MCP Server?

1115ms Fast
Fast Acceptable Slow

Average time for the server to become ready for requests over the last 14 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this MCP on Vinkius Cloud, and connect it to your AI agent in seconds.

Min 859ms
Average 1115ms
Max 1899ms
Trend (improving) ↓ 19%
Daily latency
1207ms 7/10/2026
1237ms 7/11/2026
1899ms 7/12/2026
1097ms 7/13/2026
1054ms 7/14/2026
1383ms 7/15/2026
1214ms 7/16/2026
988ms 7/17/2026
1079ms 7/18/2026
1177ms 7/19/2026
1187ms 7/20/2026
1093ms 7/21/2026
1018ms 7/22/2026
859ms 7/23/2026
7/10/2026 7/23/2026

Waiting for input…

AI Agent

What AI agents can do with Z.AI 12 Multimodal Content Tools

Generate images, videos, parse documents, and search the web using Z.AI's multimodal suite.

Agent chat

Run specialized agents for translation, slide generation, or special effects videos. It handles complex requests like creating a whole slide deck from a prompt.

Audio transcription

Turn .wav or .mp3 files into text with support for specific hotwords. It's great for getting accurate notes from meetings or recordings.

Chat completion

Get responses from GLM models with support for images, audio, and video inputs. It lets your agent handle multimodal prompts in a single step.

Get conversation history

Pull back past results from your slide and poster agent sessions. This is useful for keeping track of previous content you've generated.

Generate image async

Start long-running image generation tasks and get a task ID to check back later. Use this for high-quality images that take a few seconds to render.

Generate image

Create high-quality images from text prompts with specific size and quality controls. It gives you direct URLs for images based on your description.

Generate video

Create videos from text, images, or frames using CogVideoX or Vidu models. It handles text-to-video and image-to-video tasks for you.

Get async result

Check the status of an image or video task and grab the final URL. You use this to see when your generation is finished and get the file.

Layout parsing

Extract text and bounding boxes from PDFs and images into clean markdown. It keeps the structure of your documents intact for easier reading.

Tokenize

Count tokens for text, images, and videos to manage your context window and costs. It helps you see exactly how much space your prompts are taking up.

Web reader

Turn any URL into clean markdown or text with metadata. It lets your agent read a website and summarize it without you having to copy-paste.

Web search

Search the internet for summaries, titles, and URLs with a specific time range. It helps your agent find current information to back up its answers.

One MCP enables access. Vinkius turns MCPs into production-ready infrastructure.

You're looking at one of 5,800+ managed MCPs. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.

01

No Shadow AI

Every agent action is visible, approved, and auditable. Nothing runs outside your governance.

02

Absolute agent control

Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.

03

Cost control per token

Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.

04

Managed & monitored infra

We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.

05

Data protection, DLP by design

Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.

06

Token optimization, real savings

Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.

Z.AI for Automating Content Production

Z.AI is for content creators who need to produce high-quality media quickly, data analysts who deal with messy documents, and product teams building multimodal features.

Content Creator

Makes social media videos and slide decks by describing them in a chat window.

Data Analyst

Extracts tables and text from 50-page PDFs to build research reports.

Product Manager

Prototypes new AI features by asking the agent to call Z.AI APIs via natural language.

Frequently Asked Questions

How do I get my Z.AI API key? +

Visit the Z.AI API Keys page to create or manage your API key. Once created, copy it and paste it into the API key field in the setup wizard. The key is used as a Bearer token in the Authorization header for all API requests.

Which Z.AI models are available? +

The MCP supports all Z.AI models: GLM-5.2, GLM-5.1, GLM-5-Turbo, GLM-4.7, GLM-4.7-flash, GLM-4.6, GLM-4.5 series for chat; GLM-Image and CogView-4 for image generation; CogVideoX-3 and Vidu for video generation; GLM-ASR-2512 for audio transcription; GLM-OCR for layout parsing; and search-prime for web search.

Can my AI generate images and videos? +

Yes! Use generate_image for synchronous image generation (returns URLs immediately), or generate_image_async for long-running tasks (returns a task ID — use get_async_result to retrieve). For video, use generate_video which always runs asynchronously — call get_async_result with the returned task ID to check status and get the video URL when complete.

Does the Z.AI MCP support multimodal inputs? +

Yes. The chat_completion tool supports multimodal inputs including text, images (image_url), video (video_url), and files (file_url) when using vision models like GLM-5V-Turbo. Pass the full messages array as JSON with the appropriate content types. The layout_parsing tool also supports both image and PDF inputs for OCR.

What is the base URL for Z.AI API calls? +

All Z.AI API calls are sent to https://api.z.ai/api. The engine automatically appends the correct path prefix (e.g. /paas/v4/ for platform APIs, /v1/ for agent APIs). When using the GLM Coding Plan, you may need to configure a dedicated endpoint — refer to the Z.AI documentation for details.

Can I use the Z.AI agents for translation and slide generation? +

Yes. The agent_chat tool supports three agent types: general_translation (multilingual translation with 40+ languages, auto-detection, glossary support), slides_glm_agent (one-click slide/poster generation from natural language), and vidu_template_agent (special effects video generation). After running the slides agent, use get_conversation_history with the conversation_id to retrieve generated file URLs.

Is there a rate limit on Z.AI APIs? +

Yes, Z.AI enforces rate limits that vary by model and subscription tier. Check the Z.AI Rate Limits page for your specific limits. If you exceed the rate limit, the API returns an error and the engine surfaces the error message. For high-volume use cases, consider using async endpoints and spacing out requests.

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