🔌 Mcp Client OpenClaw Plugin & Skill | ClawHub
Looking to integrate Mcp Client into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate clawdbot tools tasks instantly, without having to write custom tools from scratch.
What this skill does
Model Context Protocol (MCP) client - connect to tools, data sources and services
Install
openclaw skills install @nantes/mcp-clientnpx clawhub@latest install mcp-clientFull SKILL.md
Open original| name | version | description |
|---|---|---|
| mcp-client | 1.0.0 | Model Context Protocol (MCP) client - connect to tools, data sources and services |
SKILL.md content below is scrollable.
MCP Client Skill
Implementation of the Model Context Protocol (MCP) client for connecting to tools and data sources.
What it does
- Connect to MCP Servers - Access tools and resources from MCP-enabled services
- Tool Invocation - Call tools exposed by MCP servers
- Resource Access - Read files, databases, APIs
- Prompt Templates - Use structured prompts from MCP servers
Installation
# Install Python dependencies (requests is the only required dependency)
pip install requests
Usage
Connect to MCP Server
.\mcp.ps1 -Action connect -ServerUrl "https://mcp-server.com" -ApiKey "your-key"
List Available Tools
.\mcp.ps1 -Action tools -ServerUrl "https://mcp-server.com"
Call a Tool
.\mcp.ps1 -Action call -ServerUrl "https://mcp-server.com" -ToolName "search" -Arguments '{"query": "AI agents"}'
List Resources
.\mcp.ps1 -Action resources -ServerUrl "https://mcp-server.com"
Read a Resource
.\mcp.ps1 -Action read -ServerUrl "https://mcp-server.com" -ResourceUri "file:///data/config.json"
MCP Concepts
- MCP Server: Service that exposes tools, resources, and prompts
- Tools: Functions the LLM/agent can call
- Resources: Data sources (files, APIs, DBs)
- Prompts: Pre-defined prompt templates
API Reference
POST /mcp/connect - Connect to server
GET /mcp/tools - List available tools
POST /mcp/call - Invoke a tool
GET /mcp/resources - List resources
GET /mcp/read - Read resource
GET /mcp/prompts - List prompt templates
Examples
Python Usage
from mcp_client import MCPClient
client = MCPClient("https://mcp-server.com", api_key="key")
# List tools
tools = client.list_tools()
print(tools)
# Call tool
result = client.call_tool("search", {"query": "quantum"})
print(result)
# Read resource
data = client.read_resource("file:///config.json")
print(data)
⚠️ Security Warnings
file:// URI Risk
The MCP protocol allows file:///path URIs to read files from the server. Only connect to trusted MCP servers. A malicious server could exfiltrate sensitive files.
Best Practices
- Only use MCP servers you control or trust
- Don't connect to random public MCP servers
- Review what tools/resources are available before using
Requirements
-
Review what tools/resources are available before using
-
Python 3.8+
-
requests library
License
MIT