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mcp-use

mcp-use/mcp-use

MCP framework for AI Agents development

GraphCanon updated today · GitHub synced today

11k stars1.4k forksLast push today TypeScript MIT

Decision brief

The MCP framework for AI Agents development supports TypeScript-based development of applications and servers that integrate with ChatGPT and Claude.

Good fit when

  • If your project involves building an application or server that needs to be integrated with both ChatGPT and Claude using TypeScript, then mcp-use is tailored for this scenario.
  • Use when you are creating a full-stack development environment specifically focused on the Model Context Protocol (MCP) for AI agents that require comprehensive interaction with language models.

Avoid when

  • Do not use if your project requires a different programming language, as mcp-use strictly supports TypeScript.
  • Avoid using it when your application does not need integration with ChatGPT and Claude, since the framework is specifically designed for these two platforms.

Observed Jul 17, 2026 · Source: enrich:decision_facts

Verify the decision

Adoption

Package downloads where a registry match exists. GitHub stars (10,526) are secondary evidence.

npm downloads (30d)
176,821·npm downloads API·today

Maintenance and security

Full trust report
Maintenance
Very active (0d since push)
As of today
Provenance
Not a fork · Organization account
As of today
Security (OSV)
No MCP manifest
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

npm install mcp-use
npm

How it fits your stack(1)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Develops MCP Apps and Servers supporting ChatGPT and Claude using TypeScript.

Capability facts

Languages
typescript

Source: github.language · Aug 26, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Node.js runtimeNode.js

Source: README excerpt (regex_v1, Aug 26, 2026)

npx -y create-mcp-use-app@latest
Source link
Works with ChatGPTChatGPT

Source: README excerpt (regex_v1, Aug 26, 2026)

<h3>Build, test, and ship MCP servers, ChatGPT plugins, Claude connectors</h3>
Source link

Tags

README

mcp-use

    The TypeScript framework for MCP

    Build, test, and ship MCP servers, ChatGPT plugins, Claude connectors

Fully Typed, native Views and MCP Apps support, built-in Inspector and first class Agent experience.

Documentation · Inspector · Examples · Deploy

npm version npm downloads made by manufact.com MIT license Discord



[!NOTE] Migrating from v1? Give it to your agent:

Migrate this mcp-use project to v2 following
https://docs.mcp-use.com/v2/typescript/server/migration

Read the migration guide →

Get started

Start with your agent

Build an MCP server: https://mcp-use.com/prompt.md

Read the prompt →

Start with code

npx -y create-mcp-use-app@latest

Run npm run dev in the generated project · open http://localhost:3000/mcp/inspector

TS Docs

Everything you need to ship MCP

Fully typed

Zod schemas flow from tools to structured results, View props, and tool calls.

Native Views

Bind React Views directly to tools and ship interactive apps without custom extension wiring.

Agent-first and headless

Scaffold, invoke, inspect, screenshot, and deploy through your agent.

Built-in debugging tools

Inspect tools and Views in the browser or headlessly through the CLI.

Quickstart

The scaffold gives you the server, TypeScript configuration, development scripts, Inspector, and a React view pipeline. Start it once and the MCP endpoint also serves a client-ready landing page with its connection URL and setup instructions.

Replace its index.ts with a view-bound tool like this:

index.ts — Server entry file for tool definition and metadata
import { MCPServer } from "mcp-use";
import { z } from "zod";

const server = new MCPServer({
  name: "weather-app",
  title: "Weather App",
  version: "1.0.0",
});

const weatherInput = z.object({
  city: z.string().describe("City to look up"),
});

const weatherOutput = z.object({
  city: z.string(),
  temperature: z.number(),
  conditions: z.string()

For agents

This page has a .md twin and JSON over the API.

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