Mcp Client

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

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

powershell

# Install Python dependencies (requests is the only required dependency)
pip install requests

Usage

Connect to MCP Server

powershell

.\mcp.ps1 -Action connect -ServerUrl "https://mcp-server.com" -ApiKey "your-key"

List Available Tools

powershell

.\mcp.ps1 -Action tools -ServerUrl "https://mcp-server.com"

Call a Tool

powershell

.\mcp.ps1 -Action call -ServerUrl "https://mcp-server.com" -ToolName "search" -Arguments '{"query": "AI agents"}'

List Resources

powershell

.\mcp.ps1 -Action resources -ServerUrl "https://mcp-server.com"

Read a Resource

powershell

.\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

text

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

python

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