Unichat MCP Server in Python
About
Unichat MCP Server in Python is an MCP server that sends requests to multiple AI providers (OpenAI, MistralAI, Anthropic, xAI, or Google AI) using a single tool or predefined prompts. It requires a vendor API key and is intended for developers integrating AI capabilities via the…
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- Single tool (unichat) to query multiple AI vendors.
- Predefined prompts for common coding tasks.
- Supports OpenAI, MistralAI, Anthropic, xAI, and Google AI.
- Configuration via environment variables (UNICHAT_MODEL, UNICHAT_API_KEY).
- Can be installed from PyPI via uvx or directly from a local directory.
- Automatable installation through Smithery.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Unichat MCP Server in PythonCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install by configuring Claude Desktop with the server command and environment variables, or by using npx -y @smithery/cli install unichat-mcp-server --client claude. Set the UNICHAT_MODEL (e.g., gpt-4o-mini) and UNICHAT_API_KEY (your vendor API key) in the environment. The server provides one tool (unichat) and four prompts (code_review, document_code, explain_code, code_rework).
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"unichat mcp server in python": {
"amidabuddha_unichat-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"unichat-mcp-server",
"--client",
"claude"
]
}
}
}
}McpServers
{
"amidabuddha_unichat-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"unichat-mcp-server",
"--client",
"claude"
]
}
}Unichat MCP Server in Python
Also available in TypeScript -- <h4 align="center"> <a href="https://github.com/amidabuddha/unichat-mcp-server/blob/main/LICENSE.md">
</a>
<a href="https://smithery.ai/server/unichat-mcp-server">
Send requests to OpenAI, MistralAI, Anthropic, xAI, or Google AI using MCP protocol via tool or predefined prompts.
Vendor API key required
Tools
The server implements one tool:
- unichat: Send a request to unichat
- Takes "messages" as required string arguments
- Returns a response
Prompts
- code_review
- Review code for best practices, potential issues, and improvements
- Arguments:
- code (string, required): The code to review"
- document_code
- Generate documentation for code including docstrings and comments
- Arguments:
- code (string, required): The code to comment"
- explain_code
- Explain how a piece of code works in detail
- Arguments:
- code (string, required): The code to explain"
- code_rework
- Apply requested changes to the provided code
- Arguments:
- changes (string, optional): The changes to apply"
- code (string, required): The code to rework"
Quickstart
Install
Claude Desktop
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
Supported Models:
> A list of currently supported models to be used as "SELECTED_UNICHAT_MODEL" may be found here. Please makes sure to add the relevant vendor API key as "YOUR_UNICHAT_API_KEY"
Example:
"env": {
"UNICHAT_MODEL": "gpt-4o-mini",
"UNICHAT_API_KEY": "YOUR_OPENAI_API_KEY"
}
Development/Unpublished Servers Configuration
"mcpServers": {
"unichat-mcp-server": {
"command": "uv",
"args": [
"--directory",
"{{your source code local directory}}/unichat-mcp-server",
"run",
"unichat-mcp-server"
],
"env": {
"UNICHAT_MODEL": "SELECTED_UNICHAT_MODEL",
"UNICHAT_API_KEY": "YOUR_UNICHAT_API_KEY"
}
}
}
Published Servers Configuration
"mcpServers": {
"unichat-mcp-server": {
"command": "uvx",
"args": [
"unichat-mcp-server"
],
"env": {
"UNICHAT_MODEL": "SELECTED_UNICHAT_MODEL",
"UNICHAT_API_KEY": "YOUR_UNICHAT_API_KEY"
}
}
}
Installing via Smithery
To install Unichat for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install unichat-mcp-server --client claude
Development
Building and Publishing
To prepare the package for distribution:
1. Sync dependencies and update lockfile:
uv sync
2. Build package distributions:
uv build
This will create source and wheel distributions in the dist/ directory.
3. Publish to PyPI:
uv publish --token {{YOUR_PYPI_API_TOKEN}}
Debugging
Since MCP servers run over stdio, debugging can be challenging. For the best debugging
experience, we strongly recommend using the MCP Inspector.
You can launch the MCP Inspector via npm with this command:
npx @modelcontextprotocol/inspector uv --directory {{your source code local directory}}/unichat-mcp-server run unichat-mcp-server
Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
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