Schema | io.github.AceDataCloud/mcp-glm

io.github.AceDataCloud/mcp-glm

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by AceDataCloud

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Python

Remote

Server Configuration

Describes the environment variables required to run the server.

Name	Required	Description	Default
`ACEDATACLOUD_API_TOKEN`	Yes	Your AceDataCloud API token. Get from https://platform.acedata.cloud

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Tools

Functions exposed to the LLM to take actions

Name Description

Name	Description
glm_chat_completionsA	Create a GLM chat completion using the AceDataCloud GLM API. `Sends messages to the specified GLM model and returns the generated response. Supports all GLM models: glm-5.2, glm-5, glm-5-turbo, glm-5.1, glm-4.7, glm-4.6, glm-3-turbo. Use this when: - You need to chat with a Zhipu GLM model - You need Chinese language understanding or generation - You want to use GLM's reasoning capabilities Returns: JSON response containing the chat completion result.`
glm_list_modelsA	List all available GLM models for the GLM API. `Returns a list of supported GLM models with descriptions. Returns: Formatted list of available GLM models.`
glm_get_usage_guideA	Get a comprehensive guide for using the GLM tools. `Provides detailed information on how to use the GLM tools effectively, including parameters, examples, and best practices. Returns: Complete usage guide for GLM tools.`

glm_chat_completionsA

Create a GLM chat completion using the AceDataCloud GLM API.

Sends messages to the specified GLM model and returns the generated response.
Supports all GLM models: glm-5.2, glm-5, glm-5-turbo, glm-5.1, glm-4.7, glm-4.6, glm-3-turbo.

Use this when:
- You need to chat with a Zhipu GLM model
- You need Chinese language understanding or generation
- You want to use GLM's reasoning capabilities

Returns:
    JSON response containing the chat completion result.

glm_list_modelsA

List all available GLM models for the GLM API.

Returns a list of supported GLM models with descriptions.

Returns:
    Formatted list of available GLM models.

glm_get_usage_guideA

Get a comprehensive guide for using the GLM tools.

Provides detailed information on how to use the GLM tools effectively,
including parameters, examples, and best practices.

Returns:
    Complete usage guide for GLM tools.

Prompts

Interactive templates invoked by user choice

Name	Description
`glm_guide`	Guide for choosing the right GLM tool and model for chat completion tasks.
`glm_workflow_examples`	Common workflow examples for GLM tasks.

Resources

Contextual data attached and managed by the client

Name	Description
No resources

Server Configuration
Instructions
Capabilities
Tools
Prompts
Resources

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