UnifAI Network provides Model Context Protocol (MCP) servers through their TypeScript and Python SDKs. These servers enable developers to integrate AI capabilities into their applications with a standardized interface. The UnifAI MCP servers allow applications to leverage AI tools and services through a unified API, simplifying the development process and enhancing interoperability between different AI systems. With security assessment from MseeP.ai, developers can trust the reliability and safety of the UnifAI implementation.
UnifAI Network provides MCP servers as part of their TypeScript and Python SDKs, allowing developers to integrate AI capabilities into their applications using the Model Context Protocol standard.
To use the UnifAI MCP servers, you need to install one of the UnifAI SDKs depending on your preferred programming language:
npm install @unifai/sdk
pip install unifai-sdk
The UnifAI MCP servers are integrated into their respective SDKs. To use them in your applications, you'll need to:
import { UnifAI } from '@unifai/sdk';
// Initialize the SDK
const unifai = new UnifAI({
apiKey: 'your-api-key'
});
// Start the MCP server
const mcpServer = unifai.startMCPServer({
port: 8080
});
// The server is now running and can be connected to by MCP clients
from unifai import UnifAI
# Initialize the SDK
unifai = UnifAI(api_key='your-api-key')
# Start the MCP server
mcp_server = unifai.start_mcp_server(port=8080)
# The server is now running and can be connected to by MCP clients
The UnifAI MCP servers can be configured with various options:
Refer to the official documentation for each SDK for detailed configuration options:
The UnifAI MCP server implementation has been assessed by MseeP.ai for security, as indicated by the security badge in the repository.