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MCP server for AI dialogue using various LLM models via AceDataCloud
MCP server for AI dialogue using various LLM models via AceDataCloud
Remote endpoints: streamable-http: https://aichat.mcp.acedata.cloud/mcp
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Set these up before or after installing:
Environment variable: ACEDATACLOUD_API_TOKEN
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
From the project's GitHub README.
A Model Context Protocol (MCP) server for AI dialogue via the AceDataCloud platform. Supports a wide range of models including GPT-4/5, o-series, DeepSeek, Grok, and GLM.
pip install mcp-aichat
Set your AceDataCloud API token:
export ACEDATACLOUD_API_TOKEN=your_token_here
Get your token from https://platform.acedata.cloud.
mcp-aichat
mcp-aichat --transport http --port 8000
| Tool | Description |
|---|---|
aichat_create_conversation | Create an AI conversation with any supported model |
aichat_create_conversation_v2 | Create/manage conversations via /aichat2/conversations |
aichat_list_models | List all available AI models |
aichat_get_usage_guide | Get API usage guide |
MIT
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