aethershell 0.3.1

The world's first multi-agent shell with typed functional pipelines and multi-modal AI
Documentation 
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# MCP Tools Example
# Demonstrates the Model Context Protocol integration for AI agent tool access

# Create a basic MCP server (with default safe configuration)
let server = mcp_server()
print("MCP Server Info:")
print(server)

# Create a server with specific safety level
let safe_server = mcp_server({ max_safety_level: "safe" })
print("Safe server tool count: " + safe_server.tool_count)

# Create a server for specific categories only
let k8s_server = mcp_server({ categories: ["kubernetes", "containers"] })
print("K8s/Container server tool count: " + k8s_server.tool_count)

# List all available MCP tools
print("\n--- All MCP Tools ---")
let all_tools = mcp_tools()
print("Total tools available: " + len(all_tools))

# List tools by category
print("\n--- Kubernetes Tools ---")
let k8s_tools = mcp_tools({ category: "kubernetes" })
k8s_tools | map(fn(t) => print("  - " + t.name + ": " + t.description))

print("\n--- Database Tools ---")
let db_tools = mcp_tools({ category: "database" })
db_tools | map(fn(t) => print("  - " + t.name + ": " + t.description))

# Search for tools
print("\n--- Search: 'git' ---")
let git_tools = mcp_tools({ search: "git" })
git_tools | map(fn(t) => print("  - " + t.name))

# List MCP resources
print("\n--- MCP Resources ---")
let resources = mcp_resources()
resources | map(fn(r) => print("  - " + r.name + ": " + r.uri))

# List MCP prompts
print("\n--- MCP Prompts ---")
let prompts = mcp_prompts()
prompts | map(fn(p) => print("  - " + p.name))

# Get a specific prompt
let find_prompt = mcp_prompts("find-tool")
if find_prompt != null {
    print("\nFind-tool prompt:")
    print(find_prompt)
}

# Try connecting to an external MCP server (demo)
print("\n--- External MCP Server (demo) ---")
let external = mcp_connect("http://localhost:3001")
if external.available {
    print("Connected to: " + external.name)
    print("Tools: " + len(external.tools))
} else {
    print("Not connected (expected in demo mode)")
}

# Call a tool (if available)
print("\n--- Tool Call Demo ---")
let result = mcp_call("ls", { path: "." })
if result.is_error {
    print("Tool call failed (expected if ls not available)")
} else {
    print("Tool output:")
    result.content | map(fn(c) => print(c.text))
}

print("\nMCP integration complete!")