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io.github.AceDataCloud/mcp-aichat

MCP server for AI dialogue using various LLM models via AceDataCloud

Developer ToolsPythonv2026.10.7.0

MCP AiChat Server

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.

Features

  • Multi-model support: GPT-4.1, GPT-4o, GPT-5, o1, o3, o4-mini, DeepSeek, Grok, GLM, and more
  • Multi-turn conversations: Continue conversations using conversation IDs
  • Stateful mode: Optional server-side conversation state management
  • Reference sources: Include external references for context-aware responses

Installation

pip install mcp-aichat

Configuration

Set your AceDataCloud API token:

export ACEDATACLOUD_API_TOKEN=your_token_here

Get your token from https://platform.acedata.cloud.

Usage

stdio mode (default)

mcp-aichat

HTTP mode

mcp-aichat --transport http --port 8000

Available Tools

ToolDescription
aichat_create_conversationCreate an AI conversation with any supported model
aichat_create_conversation_v2Create/manage conversations via /aichat2/conversations
aichat_list_modelsList all available AI models
aichat_get_usage_guideGet API usage guide

Supported Models

OpenAI

  • GPT-5 series: gpt-5.5, gpt-5.4, gpt-5.2, gpt-5.1, gpt-5, gpt-5-mini, gpt-5-nano
  • GPT-4.1 series: gpt-4.1, gpt-4.1-mini, gpt-4.1-nano
  • GPT-4o series: gpt-4o, gpt-4o-mini, gpt-4o-all, gpt-4o-image
  • GPT-4 series: gpt-4, gpt-4-turbo, gpt-4-vision-preview
  • o-series: o1, o1-mini, o1-pro, o3, o3-mini, o3-pro, o4-mini

DeepSeek

  • deepseek-r1, deepseek-r1-0528, deepseek-v3, deepseek-v3-250324, deepseek-v4-flash, deepseek-v4-pro

xAI

  • grok-3

Zhipu AI

  • glm-5.1, glm-4.7, glm-4.6, glm-3-turbo

Documentation

Documentation

License

MIT

Installation

Source-derived launch command. Check the maintainer’s required arguments and credentials before running:

bash
uvx mcp-aichat

Set up in your AI client

Merge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.

json
{
  "mcpServers": {
    "io-github-acedatacloud-mcp-aichat": {
      "command": "uvx",
      "args": [
        "mcp-aichat"
      ]
    }
  }
}

Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.

Claude Desktop setup reference

Package

mcp-aichatpypi

Compatible MCP Clients

io.github.AceDataCloud/mcp-aichat works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.

  • Claude Desktop~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.
  • Cursor~/.cursor/mcp.jsonRestart Cursor for changes to take effect.
  • VS Code.vscode/mcp.jsonReload VS Code window for changes to take effect.
  • Windsurf~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect.
  • Claude Code.mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.

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