MCP Aichat

MCP server for AI dialogue using various LLM models via AceDataCloud

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

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Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "mcp-aichat": {
      "command": "uvx",
      "args": [
        "mcp-aichat"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (4)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Aichat.

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

Documentation Overview

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

Terminal

pip install mcp-aichat

Configuration

Set your AceDataCloud API token:

server.ts

export ACEDATACLOUD_API_TOKEN=your_token_here

Get your token from 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, deepseek-v4-flash, deepseek-v4-pro

xAI

grok-3

Zhipu AI

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

Documentation

License

MIT

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

Last commit

19d ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

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Frequently Asked Questions about MCP Aichat

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mcp-aichat": { "command": "uvx", "args": ["mcp-aichat"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

11/13 checks healthy over the last 46d

51Quality signal: Good · 51/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools24/30

Adoption & activity4/15

Community engagement0/10

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Scanned 3d ago via OSV.dev · mcp-aichat (PyPI)

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More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to MCP Aichat →Install in Claude Desktop Install in Cursor Install in VS Code Setup guides for all 13 MCP clients

Documentation Overview

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

Terminal

pip install mcp-aichat

Configuration

Set your AceDataCloud API token:

server.ts

export ACEDATACLOUD_API_TOKEN=your_token_here

Get your token from 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, deepseek-v4-flash, deepseek-v4-pro

xAI

grok-3

Zhipu AI

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

Documentation

License

MIT