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mcpc

byapify· 4 MCP servers

Installs

28k

Stars

735

Forks

66

Category

AI Agents & MCP

View on GitHub

TL;DR

mcpc is a command-line client for the Model Context Protocol (MCP) that maps every MCP operation to an intuitive command for interactive shell use, scripting, and AI agents.

How to install mcpc?

apify/mcpc
$git clone https://github.com/apify/mcpc

Installs into the current project.

›Prefer a prompt? Paste this to your agent

Install & use

Install mcpc by running `git clone https://github.com/apify/mcpc`, then use it for the current task and follow its documentation at https://github.com/apify/mcpc.

Files · 1

View on GitHub
README.md
1# mcpc — a universal MCP CLI client
2 
3![mcpc logo](https://apify.github.io/mcpc/client-logo.svg?v=3)
4 
5[![npm version](https://img.shields.io/npm/v/@apify/mcpc.svg)](https://www.npmjs.com/package/@apify/mcpc)
6[![npm downloads](https://img.shields.io/npm/dm/@apify/mcpc.svg)](https://www.npmjs.com/package/@apify/mcpc)
7[![CI](https://github.com/apify/mcpc/actions/workflows/ci.yml/badge.svg)](https://github.com/apify/mcpc/actions/workflows/ci.yml)
8[![License](https://img.shields.io/npm/l/@apify/mcpc.svg)](https://github.com/apify/mcpc/blob/main/LICENSE)
9 
10`mcpc` is a command-line client for the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/)
11that maps every MCP operation to an intuitive shell command.
12 
13Use it to manually inspect and debug MCP servers, to script repeatable MCP workflows in plain shell, or to
14give AI agents the full MCP protocol through a single `Bash()` tool call, so they can interact with any MCP
15server and its latest capabilities using the most universal interface there is: the UNIX shell.
16 
17**Key features:**
18 
19- 🔧 [**Full MCP support**](#mcp-support) - Tools, prompts, resources, async tasks, skills, notifications, and logging over stdio and Streamable HTTP.
20- 🔄 **Persistent sessions** - Keep multiple stateful connections to different servers alive in parallel.
21- 🗺️ **Progressive tool discovery** - Find relevant MCP tools on the fly to save tokens and increase accuracy.
22- 🔌 **Code mode** - JSON output composes with `jq`, `xargs`, and shell pipelines for MCP workflows as shell scripts.
23- 🔒 **Secure** - Full OAuth 2.1 support with CIMD and DCR, uses OS keychain for credentials storage.
24- 🤖 **AI sandboxing** - Proxy MCP server connections to protect credentials from AI-generated code.
25- 🪶 **Lightweight** - Minimal dependencies, works on Mac/Win/Linux, doesn't use LLMs on its own.
26- 💸 **Agentic payments** - Experimental support for the [x402](https://www.x402.org/) protocol on [Base](https://www.base.org/).
27 
28![mcpc screenshot](https://raw.githubusercontent.com/apify/mcpc/main/docs/images/mcpc-demo.gif?v=3)
29 
30## Table of contents
31 
32<!-- START doctoc generated TOC please keep comment here to allow auto update -->
33<!-- DON'T EDIT THIS SECTION, INSTEAD RE-RUN doctoc TO UPDATE -->
34 
35- [Motivation](#motivation)
36- [Install](#install)
37- [Quickstart](#quickstart)
38- [Usage](#usage)
39- [Sessions](#sessions)
40- [Authentication](#authentication)
41- [MCP proxy](#mcp-proxy)
42- [AI agents](#ai-agents)
43- [Agentic payments (x402)](#agentic-payments-x402)
44- [MCP support](#mcp-support)
45- [Configuration](#configuration)
46- [Security](#security)
47- [Errors](#errors)
48- [Development](#development)
49- [Related work](#related-work)
50- [License](#license)
51 
52<!-- END doctoc generated TOC please keep comment here to allow auto update -->
53 
54## Motivation
55 
56Many AI agents misuse MCP. They treat tools as prompt-time function calls, repeatedly injecting
57tool definitions and results into the context. Tokens get wasted, context rots, the
58agent gets slower and less reliable — hence the popular conclusion: _"MCP sucks, CLIs are better"_.
59 
60`mcpc` challenges that narrative. It maps every MCP operation to an intuitive CLI command that
61agents pick up from `--help` alone. Any agent with shell access gets full MCP support without
62wiring up dozens of MCP functions. Just one `Bash()` tool, and `mcpc` handles the rest:
63 
64```
65 
66 ┌──────────┐ Bash() ┌────────┐ MCP ┌────────────┐
67 │ AI agent │ ─────────► │ mcpc │ ────────► │ MCP server │
68 └──────────┘ └────────┘ └────────────┘
69 Sessions, OAuth, Tools,
70 Resources, Prompts,
71 Tasks, x402, ...
72```
73 
74CLI is the perfect _local_ interface between agents and MCP, while MCP remains the
75standard _remote_ interface for server discovery, authentication, payments, and access control.
76The two aren't exclusive – they're complementary.
77 
78As a bonus, the same `mcpc` configuration, OAuth prof

Preview

apify/mcpcapify/mcpc

# mcpc — a universal MCP CLI client

![mcpc logo](https://apify.github.io/mcpc/client-logo.svg?v=3)

[![npm version](https://img.shields.io/npm/v/@apify/mcpc.svg)](https://www.npmjs.com/package/@apify/mcpc)

[![npm downloads](https://img.shields.io/npm/dm/@apify/mcpc.svg)](https://www.npmjs.com/package/@apify/mcpc)

Repoapify/mcpc
TypeMCP Servers
CategoryAI Agents & MCP
UpdatedJul 2026
LicenseApache-2.0
First seenJul 26, 2026

Tags

MCPai-agentsbash

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