Which providers are supported?
OpenAI, Anthropic, and any OpenAI‑compatible provider such as MistralAI, xAI, Google AI, DeepSeek, Alibaba, or Inception.
@amidabuddha
基本信息
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使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"unichat-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"unichat-mcp-server",
"--client",
"claude"
]
}
}
}Send a request to unichat
Unichat MCP Server in Python is an MCP server that sends requests to OpenAI, Anthropic, and OpenAI-compatible providers (such as MistralAI, xAI, Google AI, DeepSeek, Alibaba, or Inception) using the Model Context Protocol. It uses one tool and several predefined prompts, and requires a vendor API key and a selected model. It is designed for developers who want to integrate AI model chat into MCP‑based applications.
Configure the server in your MCP client (e.g., Claude Desktop) by setting the environment variables UNICHAT_MODEL, UNICHAT_API_KEY, and optionally UNICHAT_BASE_URL. Run the server via uvx unichat-mcp-server (published) or locally with uv run unichat-mcp-server. The server exposes a tool called unichat and prompts such as code_review, document_code, explain_code, and code_rework. Installation via Smithery is also supported: npx -y @smithery/cli install unichat-mcp-server --client claude.
UNICHAT_BASE_URL.unichat (requires messages argument).code_rework prompt.OpenAI, Anthropic, and any OpenAI‑compatible provider such as MistralAI, xAI, Google AI, DeepSeek, Alibaba, or Inception.
You must set `UNICHAT_MODEL` (the model name from the supported list) and `UNICHAT_API_KEY` (your vendor API key). For custom endpoints, also set `UNICHAT_BASE_URL` to the provider’s compatible endpoint.
Use `uvx unichat-mcp-server` for published packages, or clone the repository and run with `uv run unichat-mcp-server`. It can also be installed automatically via Smithery.
One tool (`unichat`) that takes a `messages` string and returns a response. Four prompts: `code_review`, `document_code`, `explain_code`, and `code_rework` – each requiring a `code` string, with `code_rework` also accepting an optional `changes` string.

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