Mokei

TypeScript toolkit for creating, interacting with, and monitoring clients and servers using the Model Context Protocol (MCP).

Features

• MCP Server & Client - Full protocol implementation
• Multi-Context Host - Manage multiple MCP servers with tool namespacing
• Session Management - High-level chat abstraction with tool calling
• Agent Loop - Automatic tool execution with configurable approval
• Model Providers - OpenAI, Anthropic, and Ollama integration
• Monitoring - Real-time observation of MCP traffic
• CLI - Interactive chat and server inspection tools

Quick Start

npm install @mokei/session @mokei/openai-provider

import { Session } from '@mokei/session'
import { OpenAIProvider } from '@mokei/openai-provider'

const session = new Session({
  providers: {
    openai: OpenAIProvider.fromConfig({
      apiKey: process.env.OPENAI_API_KEY
    })
  }
})

// Add an MCP server
await session.addContext({
  key: 'myserver',
  command: 'node',
  args: ['my-mcp-server.js']
})

// Chat with tool access
const response = await session.chat({
  provider: 'openai',
  model: 'gpt-4',
  messages: [{ source: 'client', role: 'user', text: 'Hello!' }]
})

Documentation

• Full Documentation - Complete guides and API reference
• Quick Start Guide - Get running in minutes
• docs/ - Local documentation

Packages

Package	Description
@mokei/context-server	MCP server implementation
@mokei/context-client	MCP client implementation
@mokei/host	Multi-context orchestrator
@mokei/session	High-level session management
@mokei/openai-provider	OpenAI integration
@mokei/anthropic-provider	Anthropic Claude integration
@mokei/ollama-provider	Ollama integration
mokei	CLI tool

CLI

mokei context monitor    # Monitor MCP server traffic
mokei context inspect    # Inspect available tools
mokei chat openai        # Interactive chat

Contributing

See AGENTS.md for development setup and code style guidelines.

License

MIT