Z.AI Connector for AI agents.
12 live capabilities
Generate multimodal content and parse complex documents with a single prompt.
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Why people use Z.AI
Z.AI for Automating Content Production
With Z.AI, you can do all of this from a single chat window. Your agent handles the generation of images, videos, and slides in one go. You get a cohesive workflow where your ideas turn into finished assets without the constant context switching.
What Vinkius changes
You get a multimodal bridge that turns prompts into videos, images, and parsed data.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Social Media Production
A manager asks the agent to find three news stories about AI and create a 5-slide poster for Instagram using web_search and agent_chat.
- Real-world use case 02
Automated Document Extraction
A researcher provides a 50-page PDF and asks the agent to extract all tables into markdown using layout_parsing.
- Real-world use case 03
Rapid Feature Prototyping
A developer asks the agent to translate a paragraph into 5 languages to test a new app feature using agent_chat.
Complete set · 12capabilities
The complete Z.AI capability set.
These are the exact actions your AI can choose when you ask it to work with Z.AI.
01—04
4 capabilities in this set.
Part of 12 available through Z.AI.
- 01 Capability
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.
- 02 Capability
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.
- 03 Capability
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.
- 04 Capability
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.
05—08
4 capabilities in this set.
Part of 12 available through Z.AI.
- 05 Capability
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.
- 06 Capability
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.
- 07 Capability
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.
- 08 Capability
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.
09—12
4 capabilities in this set.
Part of 12 available through Z.AI.
- 09 Capability
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.
- 10 Capability
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.
- 11 Capability
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.
- 12 Capability
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.
Where the request belongs
Work Z.AI can move forward.
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.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Access 100+ AI models through a single API. route LLMs, generate embeddings, and execute specialized AI tasks like OCR and translation.
Fireworks AI
Empower LLM applications via Fireworks AI. perform ultra-fast chat completions, generate embeddings and images, and transcribe audio directly from any AI agent.
Dify
Manage agentic workflows via Dify. send chat messages, track conversations, audit app parameters, and handle file uploads directly from any AI agent.
Groq
Run large language models at unprecedented speed with custom LPU hardware that delivers real-time AI inference at massive scale.
Jaicob
Add AI customer support to your website that answers questions from your docs, guides users, and escalates when needed.
Tencent Yuanqi
Orchestrate Tencent Yuanqi AI Agents. manage assistants, trigger conversations, and handle RAG documents directly from any AI agent.
Bring your own AI
Change the model, client or framework. Keep Z.AI connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Z.AI.
The practical details behind the request, access and result.
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 Connector 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 capability 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 capability 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 capability 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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