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mcp-ts

by zonlabs·8·Score 41

A comprehensive TypeScript SDK with Python bridge for implementing MCP servers and clients with multiple storage backends.

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Overview

mcp-ts provides a complete toolkit for building MCP servers and clients with support for tools, prompts, and resources. The TypeScript SDK offers multiple storage backends including Redis, SQLite, File System, and In-Memory. It includes adapters for popular AI frameworks like Vercel AI SDK, LangChain, Mastra, and AG-UI. The Python gateway enables local MCP servers to be accessed by remote applications.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

you:Building MCP servers with persistent storage for production applications
you:Integrating MCP functionality into React and Vue applications
you:Connecting local MCP servers to cloud-hosted AI agents
you:What storage backends are supported?
you:How do I integrate with AI frameworks?

When to choose this

Choose mcp-ts when building MCP servers in TypeScript/JavaScript, especially with Next.js or serverless deployments, or when needing framework-specific adapters for popular AI development tools.

When NOT to choose this

Avoid if you need pure Python-based MCP implementation or if you require authentication mechanisms beyond the simple example shown in the documentation.

Comparable tools

npx @modelcontextprotocol/server-defaultmcp-server-postgresmcp-server-filesystem

Installation

Installation

TypeScript SDK

npm install @mcp-ts/sdk

Python Gateway

pip install mcpassistant-gateway

Claude Desktop Configuration

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "mcp-ts": {
      "command": "npx",
      "args": ["@mcp-ts/sdk", "server"],
      "env": {
        "MCP_TS_STORAGE_TYPE": "memory"
      }
    }
  }
}

FAQ

What storage backends are supported?
The SDK supports Redis, SQLite, File System, In-Memory, Supabase, and Neon storage backends.
How do I integrate with AI frameworks?
Built-in adapters are available for Vercel AI SDK, LangChain, Mastra, and AG-UI. Each has specific integration examples in the documentation.

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