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MCP server for AI dialogue across multiple LLM models via Ace Data Cloud.

MCP ServersOfficial Registry0 stars0 forksPythonMITUpdated today
Install in Claude Code / Claude Desktop
Method: pip / Python · mcp-aichat
Claude Code CLI
claude mcp add aichatmcp -- python -m mcp-aichat
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "aichatmcp": {
      "command": "python",
      "args": ["-m", "mcp-aichat"],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "<acedatacloud_api_token>"
      }
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Install first: pip install mcp-aichat
Detected environment variables
ACEDATACLOUD_API_TOKEN
Use cases

MCP Servers overview

# MCP AiChat Server

<!-- mcp-name: io.github.AceDataCloud/mcp-aichat -->

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

```bash
pip install mcp-aichat
```

## Configuration

Set your AceDataCloud API token:

```bash
export ACEDATACLOUD_API_TOKEN=your_token_here
```

Get your token from [https://platform.acedata.cloud](https://platform.acedata.cloud).

## Usage

### stdio mode (default)

```bash
mcp-aichat
```

### HTTP mode

```bash
mcp-aichat --transport http --port 8000
```

## Available Tools

| 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 |

## 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

### xAI
- grok-3

### Zhipu AI
- glm-5.1, glm-4.7, glm-4.6, glm-3-turbo

## License

MIT

What people ask about AiChatMCP

What is AceDataCloud/AiChatMCP?

+

AceDataCloud/AiChatMCP is mcp servers for the Claude AI ecosystem. MCP server for AI dialogue across multiple LLM models via Ace Data Cloud. It has 0 GitHub stars and was last updated today.

How do I install AiChatMCP?

+

You can install AiChatMCP by cloning the repository (https://github.com/AceDataCloud/AiChatMCP) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is AceDataCloud/AiChatMCP safe to use?

+

AceDataCloud/AiChatMCP has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.

Who maintains AceDataCloud/AiChatMCP?

+

AceDataCloud/AiChatMCP is maintained by AceDataCloud. The last recorded GitHub activity is from today, with 0 open issues.

Are there alternatives to AiChatMCP?

+

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

Deploy AiChatMCP to your cloud

Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.

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Featured on ClaudeWave: AceDataCloud/AiChatMCP
[![Featured on ClaudeWave](https://claudewave.com/api/badge/acedatacloud-aichatmcp)](https://claudewave.com/repo/acedatacloud-aichatmcp)
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