mcp-client

Model Context Protocol (MCP) client - connect to tools, data sources and services

Safety Notice

This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "mcp-client" with this command: npx skills add nantes/mcp-client

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

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

Coding

MCP Engineering

Build, integrate, debug, and secure MCP servers and clients in any language, enabling AI agents to call external tools via Model Context Protocol.

Registry SourceRecently Updated
0276
Profile unavailable
Coding

Ra Pay

Send compliant fiat USD payments via Ra Pay CLI — the first CLI-native AI payment platform

Registry SourceRecently Updated
0248
Profile unavailable
Security

AgentShield Scanner

Scan AI agent skills, MCP servers, and plugins for security vulnerabilities. Use when: user asks to check a skill/plugin for safety, audit security, scan for...

Registry SourceRecently Updated
066
Profile unavailable