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AiChat MCP Server

Developer ToolsUse Caution4.2MCP RegistryLocalRemote
Free

Server data from the Official MCP Registry

MCP server for AI dialogue using various LLM models via AceDataCloud

About

MCP server for AI dialogue using various LLM models via AceDataCloud

Remote endpoints: streamable-http: https://aichat.mcp.acedata.cloud/mcp

Security Report

4.2
Use Caution4.2High Risk

The MCP AiChat server is well-structured with proper OAuth 2.0 authentication, secure token handling via environment variables, and appropriate permissions for its purpose as an AI dialogue gateway. Minor code quality issues exist around broad exception handling and error logging practices, but no security vulnerabilities or data exfiltration risks were identified. Token validation and API credential provisioning follow secure patterns. Supply chain analysis found 7 known vulnerabilities in dependencies (0 critical, 5 high severity). Package verification found 1 issue.

8 files analyzed · 15 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

env_vars

Check that this permission is expected for this type of plugin.

HTTP Network Access

Connects to external APIs or services over the internet.

system_info

Check that this permission is expected for this type of plugin.

What You'll Need

Set these up before or after installing:

API token from Ace Data Cloud (https://platform.acedata.cloud)Required

Environment variable: ACEDATACLOUD_API_TOKEN

How to Install & Connect

Available as Local & Remote

This plugin can run on your machine or connect to a hosted endpoint. during install.

Documentation

View on GitHub

From the project's GitHub README.

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

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