mcpwire

The simplest way to connect to MCP servers. Two lines to connect. One line to call tools.

import { connect } from "mcpwire";

const server = await connect("http://localhost:3000/mcp");
const result = await server.callTool("search", { query: "hello" });

No transport configuration. No protocol negotiation. No boilerplate. Just connect and go.

The official MCP SDK is powerful but verbose. Connecting to a server takes 30+ lines of setup code. mcpx wraps it in a clean, ergonomic API so you can focus on building, not configuring.

| | mcpx | Official SDK | |---|------|-------------| | Lines to connect | 2 | 15-30+ | | Auto transport detection | Yes | Manual | | OpenAI/Anthropic tool format | Built-in | DIY | | Server discovery | Built-in | None | | Learning curve | 3 methods | 20+ classes |

npm install mcpwire

import { connect } from "mcpwire";

const server = await connect("http://localhost:3000/mcp");

// List tools
const tools = await server.tools();
console.log(tools);

// Call a tool
const result = await server.callTool("get_weather", { city: "NYC" });
console.log(result.content[0].text);

// Read a resource
const docs = await server.readResource("file:///README.md");
console.log(docs[0].text);

// Clean up
await server.close();

import { connectStdio } from "mcpwire";

const server = await connectStdio("npx", [
  "-y",
  "@modelcontextprotocol/server-filesystem",
  "/home/user/documents",
]);

const files = await server.resources();
console.log(files);

import { connect } from "mcpwire";
import OpenAI from "openai";

const server = await connect("http://localhost:3000/mcp");
const openai = new OpenAI();

const response = await openai.chat.completions.create({
  model: "gpt-4o",
  messages: [{ role: "user", content: "What's the weather in NYC?" }],