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UnifAI Network MCP Server

Developer ToolsTypeScript
Access UnifAI Network tools through TypeScript and Python SDKs

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.

Overview

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.

Installation

To use the UnifAI MCP servers, you need to install one of the UnifAI SDKs depending on your preferred programming language:

For TypeScript/JavaScript:

npm install @unifai/sdk

For Python:

pip install unifai-sdk

Usage

The UnifAI MCP servers are integrated into their respective SDKs. To use them in your applications, you'll need to:

  1. Import the SDK in your project
  2. Configure the MCP server with your credentials
  3. Connect your AI client to the MCP server
  4. Use the available tools through the MCP interface

TypeScript Example:

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

Python Example:

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

Configuration

The UnifAI MCP servers can be configured with various options:

  • Port: Specify the port on which the MCP server will listen
  • API Key: Your UnifAI API key for authentication
  • Tools: Enable or disable specific tools
  • Logging: Configure logging levels and destinations

Refer to the official documentation for each SDK for detailed configuration options:

Security

The UnifAI MCP server implementation has been assessed by MseeP.ai for security, as indicated by the security badge in the repository.

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About Model Context Protocol

Model Context Protocol (MCP) allows AI models to access external tools and services, extending their capabilities beyond their training data.

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