Model Context Protocol (MCP) Manager for Openclaw

A powerful tool for configuring and managing Model Context Protocol (MCP) servers, enabling AI agents to interact with external tools and services.

godzff
v1.0.0
Feb 24, 2026
0
1.6k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install mcp-protocol

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install mcp-protocol using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Model Context Protocol (MCP) Manager?

The Model Context Protocol (MCP) Manager is an essential Openclaw Skills utility designed to bridge the gap between AI models and external data sources or tools. By leveraging the mcporter and clawhub ecosystem, developers can define standardized interfaces for AI agents to perform tasks like visual analysis, web searching, and file system operations. This skill streamlines the process of extending AI capabilities beyond static text generation into active environment interaction, providing a robust framework for agentic workflows.

Model Context Protocol (MCP) Manager Use Cases

  • Extending AI capabilities with external tools like web search or image understanding.
  • Connecting AI agents to project management platforms like Linear for automated ticket management.
  • Enabling secure filesystem and GitHub operations for automated coding and repository maintenance.
  • Managing multiple standardized tool servers through a centralized configuration to minimize overhead.

How Model Context Protocol (MCP) Manager Works

  1. Install the core management utility via npm using the clawhub package.
  2. Ensure the uvx environment is initialized to handle high-performance MCP package execution.
  3. Define server configurations in a centralized JSON file specifying runtime commands, arguments, and required environment variables.
  4. Validate the connection to the configured MCP servers to ensure they are healthy and responsive.
  5. Invoke specific tools using the mcporter CLI or integrated agent to trigger AI-driven actions.

Model Context Protocol (MCP) Manager Setup

Install the necessary management package:

npm install -g clawhub

Ensure the uvx runner is available on your system:

curl -LsSf https://astral.sh/uv/install.sh | sh

Create the configuration directory and initialize your server definitions:

mkdir -p ~/.config/mcporter
touch ~/.config/mcporter/mcporter.json

Model Context Protocol (MCP) Manager Data Schema & Taxonomy

The skill manages server definitions through a structured JSON schema. This ensures that every tool added to your Openclaw Skills inventory is correctly mapped.

Property Description
mcpServers Root object containing all server configurations.
type The communication protocol used (typically stdio).
command The primary execution command (e.g., uvx).
args Array of arguments, including the specific MCP package name.
env Key-value pairs for API keys and local file paths.

Model Context Protocol (MCP) Manager Advanced Features

  • Multi-server architecture allowing simultaneous access to GitHub, Linear, and filesystem tools.
  • Dynamic schema inspection to automatically discover and validate tool parameters during execution.
  • Seamless environment variable management for secure API key handling across different services.
  • Standardized stdio protocol support for high-compatibility across various AI agent frameworks.

SKILL.md


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