pctx

作者 portofcontext已验证

pctx is the execution layer for agentic tool calls. It auto-converts agent tools and MCP servers into code that runs in secure sandboxes for token-efficient workflows.

273
Stars
34
Forks
Rust
语言
2026/8/23
添加时间

⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/portofcontext/pctx

快速入门

使用 pctx 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

PCTX Logo

pctx

Made by

NPM Version Rust Python

The open source framework to connect AI agents to tools and mcp with Code Mode


—   T R U S T E D   B Y   —

Block      Sentient

Install

# Homebrew
brew install portofcontext/tap/pctx

# cURL
curl --proto '=https' --tlsv1.2 -LsSf https://raw.githubusercontent.com/portofcontext/pctx/main/install.sh | sh

# npm
npm i -g @portofcontext/pctx

Core Functionality

pctx can be run as a stateless HTTP server for Code Mode sessions or as a unified MCP server that exposes Code Mode functionality for registered upstream MCP servers.

# Start Code Mode for Python SDK
pctx start

# Start Code Mode as a unified MCP server
pctx mcp init
pctx mcp dev

Python SDK

Use the Python SDK if building agents in Python and want to run Code Mode with custom tools and/or MCP servers. The Python SDK is an HTTP client to the pctx server.

pip install pctx-client
from pctx_client import Pctx, tool
from agents import Agent # Use any Agent SDK
from agents.run import Runner # This example is OpenAI Agents SDK

@tool
def get_weather(city: str) -> str:
    """Get weather information for a given city."""
    return f"It's always sunny in {city}!"

pctx = Pctx(tools=[get_weather]) # or with mcp: servers=[your_mcp]

tools = pctx.openai_agents_tools() # Run Code Mode with any Agent SDK
agent = Agent(
    name="GreatCoder",
    model="litellm/openrouter/openai/gpt-oss-120b",
    instructions="You run code to complete complex tasks.",
    tools=tools,
)

Links

Node SDK

Coming soon

Unified MCP

Use the unified MCP to run Code Mode with MCP servers and want to persist the authentication connections and you do not need to use agent tools (non-mcp tools).

# Initialize config for upstream mcp connections
pctx mcp init

# Add HTTP or stdio MCP servers
pctx mcp add stripe https://mcp.stripe.com
pctx mcp add memory --command "npx -y @modelcontextprotocol/server-memory"

# Start as HTTP server (dev mode with UI)
pctx mcp dev

# Or start as stdio MCP server
pctx mcp start --stdio

For complete CLI documentation, see CLI.md. For configuration options, see Configuration Guide.

Screenshot 2025-11-21 at 11 03 20 AM

What is pctx?

pctx sits between AI agents and MCP servers. It aggregates multiple upstream MCP servers, handles authentication, and exposes tools through a unified Code Mode interface. Instead of agents managing connections to individual MCP servers, they connect once to pctx.

What is Code Mode?

Code mode replaces sequential tool calling with code execution. Rather than an agent calling tools one at a time and passing results through its context window, it writes code that executes in a sandbox. Read Anthropic's overview here.

Traditional MCP flow:

  1. Agent calls getSheet(id)
  2. Server returns 1000 rows → agent's context
  3. Agent calls filterRows(criteria)
  4. Server returns 50 rows → agent's context

With Code Mode:

const sheet = await gdrive.getSheet({ sheetId: "abc" });
const orders = sheet.filter((row) => row.status === "pending");
console.log(`Found ${orders.length} orders`);

Result: 98.7% reduction in tokens (150k → 2k) for this multi-step operation.

Features

  • Code Mode interface: Tools exposed as code functions for efficient agent interaction. See Code Mode Guide.
  • Upstream MCP server aggregation: Connect to multiple MCP servers through a single interface, with persistent upstream sessions across execute_typescript calls. See Upstream MCP Servers Guide.
  • Simple config with CLI: Create the pctx.json config with a simple CLI. pctx.json manages auth, upstream MCPs, logging, and more. See Config Guide.
  • Secure authentication: Source secrets from environment variables, system keychain, and external commands. See Authentication Section in the CLI configuration docs for more details.

Security

  • LLM generated code runs in an isolated Deno sandbox that can only access the network hosts specified in the configuration file.
  • No filesystem, environment, network (beyond allowed hosts), or system access.
  • MCP clients are authenticated in pctx. LLMs can never see your auth.

Update

Depending on the installation method (Homebrew/npm/cURL) the update method is different. Run which pctx if you are unsure what you used to install it.

# Homebrew update
brew upgrade pctx

# cURL update
pctx-update

# npm update
npm upgrade -g @portofcontext/pctx

Develop

  • For core dev: install rust and jump into crates/
  • Client SDK dev: find the README in the SDK

Learn More

常见问题

What is pctx?

pctx is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by portofcontext. pctx is the execution layer for agentic tool calls. It auto-converts agent tools and MCP servers into code that runs in secure sandboxes for token-efficient workflows. It has 273 GitHub stars.

Is pctx safe to use?

Yes. pctx passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install pctx?

Clone the repository with "git clone https://github.com/portofcontext/pctx" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is pctx written in?

pctx is primarily written in Rust. It is open-source under portofcontext on GitHub, so you can review or fork the full source.

Are there alternatives to pctx?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh pctx against similar tools.

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