Artificial Intelligence
Z.ai
Connect Z.ai once and hand every teammate a governed MCP endpoint with 14 tools ready to call from Claude, ChatGPT, Cursor, or any MCP client, inside the same permissions they already have, with every call checked and logged.
Automations & dashboards
From answering questions to doing the work
A person no longer has to ask. A trigger starts the work, inside the same permissions and the same audit log as everything else. Automations and live dashboards ship on the Black plan.
Automations
Put Z.ai work on a schedule.
A trigger starts a sequence of steps: call a Z.ai tool, transform the result, branch, wait, and ask a person when it matters.
Z.ai digest
Run 418 · started 2 minutes ago · on behalf of Emma Laurent
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✓
Schedule
Every weekday at 08:00
0.2s -
✓
Fetch agents
Z.ai
1.4s -
✓
Group by owner
Transform
0.1s -
✓
Draft the digest
Agent step
Ran with 4 tools, returned a structured summary
6.2s -
Approve the digest
Needs approval
Assigned to Michael Brennan
Approve Deny -
Post the digest
Z.ai
Queued
Collections and dashboards
Report on Z.ai without asking.
Collections hold your own data, written by an automation and read by a dashboard that refreshes on a schedule.
Z.ai health
Refreshed 4 minutes ago · every 15 minutes · from the agents collection
Agents
1,284 ↓ 12%
Chat completions
96 ↓ 8%
Needs attention
3 ↑ 2
Updated this week
412 ↑ 9%
Agents created
Last 14 days
By workspace
Share of activity
Engineering 34%
Product 27%
Support 21%
Sales 18%
AI tools
Z.ai tools for your AI agents
14 tools are ready to call through Elaichi's MCP endpoint the moment you connect Z.ai, governed by the same roles, restrictions, and audit log as everything else in Elaichi.
create_a_zai_chat_completion
Create a chat completion in zai that generates AI replies for a given conversation history. Supports multimodal inputs (text, image, video, file), function calling via tools, and both streaming and non-streaming output modes. Returns the completion object including id, model, choices, and usage. Required: model, messages.
create_a_zai_videos_generation
Create a video generation task in Z.AI using CogVideoX or Vidu models from a text prompt, image URL, or pair of first/last frame images. Supports text-to-video, image-to-video, and first/last-frame-to-video workflows. Returns the created generation task. Returns: model, id, request_id, task_status. Required: model.
get_single_zai_paas_async_result_by_id
Get the result of an asynchronous request in zai by task id. Returns the async result object with task-type-specific fields — either an AsyncVideoGenerationResponse or AsyncImageGenerationResponse depending on the originating task; consult the zai upstream docs for field-level details. Required: id.
create_a_zai_images_generation
Generate a high-quality image from a text prompt using GLM-Image series models in zai. Returns: url, id, created_at. Required: model, prompt.
create_a_zai_audio_transcription
Transcribe an audio file into text in zai using the GLM-ASR-2512 model, supporting multiple languages and optional real-time streaming output. Returns: id, created, request_id, model, text. Required: model.
create_a_zai_paas_tokenizer
Tokenize text input using a specified model in zai to calculate token counts, suitable for text length evaluation, model input estimation, dialogue context truncation, and cost calculation. Returns: created, id, request_id, usage. Required: model, messages.
create_a_zai_paas_layout_parsing
Submit a layout parsing request in zai using the GLM-OCR model to extract text content and layout information from a document image or PDF. Returns: id, created, model, md_results, layout_details, layout_visualization, data_info, usage, request_id, attributes. Required: model, file.
create_a_zai_paas_web_search
Perform a web search using the zai LLM-optimized Web Search API, which enhances intent recognition to return results better suited for large language model processing, including webpage titles, URLs, summaries, site names, and favicons. Returns: id, created, search_result.
create_a_zai_paas_reader
Create a web reader request in zai to read and parse the content of a specified URL. Returns: id, created, request_id, model, reader_result, url, content. Required: url.
create_a_zai_paas_file
Upload an auxiliary file (such as a glossary or terminology list) to zai to enhance translation accuracy and consistency. Returns the uploaded file record including id, object, bytes, filename, purpose, and created_at. Required: purpose, file. File size limit is 100 MB; accepted formats are pdf, doc, xlsx, ppt, txt, jpg, and png.
create_a_zai_agent
Create a zai agent task for one of three agent types: General Translation (multilingual text translation with auto-detection and glossary support), Popular Special Effects Videos (AI video generation from an image and prompt via a template), or GLM Slide/Poster (slide or poster generation from natural language instructions). Returns: id, agent_id, choices, usage, status, async_id.
create_a_zai_agents_async_result
Query the result of an asynchronous zai agent request. Returns: status, agent_id, async_id, choices, id, usage. Required: async_id.
create_a_zai_agents_conversation
Query conversation history for a zai slides_glm_agent (the only supported agent type). Returns id, agent_id, choices (with messages containing role and content, and finish_reason), and usage token statistics for synchronous responses, or status and async_id for asynchronous responses.
create_a_zai_async_images_generation
Create an async image generation job in zai using the GLM-Image model. Returns: model, id, request_id, task_status. Required: model, prompt.
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How it works
From Z.ai account to governed MCP endpoint
Connect
Link a Z.ai account through Elaichi's hosted connect flow. Credentials are vaulted, so nobody, including the AI, ever sees them.
Compose
The connection becomes a toolbox instantly. Curate which Z.ai tools are exposed, rename them, or freeze arguments.
Authorize
Point Claude, ChatGPT, Cursor, or any MCP client at the one Elaichi endpoint and sign in with OAuth, governed by roles, restrictions, and audit logs.
Put your agents to work in the tools you already use
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