A comprehensive command-line interface for managing Model Context Protocol (MCP) servers and executing agentic tools with precision.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mcps-skill
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install mcps-skill 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 mcps - MCP CLI Manager?
mcps is a specialized CLI tool designed to simplify the management and orchestration of Model Context Protocol (MCP) servers. It provides a unified interface for developers to add, configure, and interact with multiple MCP servers, supporting various transport methods such as stdio, SSE, and HTTP. By centralizing server management, mcps allows developers to build more reliable Openclaw Skills that can seamlessly bridge the gap between AI agents and external data sources or services.
The tool is particularly valuable for developers who need to test, debug, and deploy complex toolsets. It includes a background daemon that handles persistent connections, ensuring that your Openclaw Skills have high-performance access to tools for web scraping, database querying, and API interaction without the overhead of manual server lifecycle management.
mcps - MCP CLI Manager Use Cases
- Orchestrating multiple MCP servers (e.g., PostgreSQL, GitLab, and Fetch) from a single command-line interface.
- Testing MCP tool invocations with specific parameter types like raw SQL strings or complex JSON objects.
- Automating local development workflows by managing MCP server lifecycles as background daemons.
- Enabling remote tool access for AI agents via SSE or HTTP protocol integration.
How mcps - MCP CLI Manager Works
- The user installs the mcps package globally to access the command-line management tools.
- MCP servers are registered using the add command, specifying the transport type, execution command, and necessary environment variables.
- The mcps daemon is started to initialize connections and monitor the health of all configured servers.
- Users can discover available capabilities by listing tools provided by each connected server.
- Specific tools are invoked using the call command, which routes the request through the daemon to the appropriate server and returns the structured response.
mcps - MCP CLI Manager Setup
Install the manager globally using npm:
npm install -g @maplezzk/mcps
Add your first MCP server (e.g., a web scraping fetch server):
mcps add fetch --command uvx --args mcp-server-fetch
Initialize the daemon to start using your Openclaw Skills:
mcps start
mcps - MCP CLI Manager Data Schema & Taxonomy
The skill manages its state and server definitions through a structured JSON configuration file and environment-based settings.
| Feature | Details |
|---|---|
| Config Path | ~/.mcps/mcp.json |
| Server Schema | Includes name, type (stdio/sse/http), command, args, and env mappings. |
| Secret Management | Uses ${VAR_NAME} syntax to pull sensitive data from environment variables. |
| Port Config | Default daemon communication on port 4100, adjustable via MCPS_PORT. |
mcps - MCP CLI Manager Advanced Features
- Support for --raw mode to pass string literals like SQL queries or code snippets without auto-parsing.
- File-based parameter passing using the --json flag for complex data payloads.
- Verbose logging and debugging mode to inspect the underlying JSON-RPC traffic between the agent and the server.
- Granular control to enable, disable, or restart individual servers without affecting the entire daemon.
- Multi-protocol transport support ensuring compatibility with both local and remote Openclaw Skills deployments.
SKILL.md
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