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# frozen_string_literal: true
require "anthropic"
require "dotenv/load"
require "json"
require "mcp"
class MCPClient
ANTHROPIC_MODEL = "claude-sonnet-5"
# Sonnet 5 thinks adaptively unless told otherwise, and max_tokens caps thinking
# plus the reply, so leave room for both.
MAX_TOKENS = 10000
MAX_TOOL_TURNS = 10
def initialize
@mcp_client = nil
@transport = nil
@anthropic_client = nil
end
def connect_to_server(server_script_path)
command = case File.extname(server_script_path)
when ".rb"
"ruby"
when ".py"
"python3"
when ".js"
"node"
else
raise ArgumentError, "Server script must be a .rb, .py, or .js file."
end
@transport = MCP::Client::Stdio.new(command: command, args: [server_script_path])
@mcp_client = MCP::Client.new(transport: @transport)
@mcp_client.connect
# The spec says clients SHOULD validate structured results against the
# schema the tool declares. This SDK's client does not do it, so compile
# each declared schema once here and check results as they arrive.
@output_schemas = @mcp_client.tools.each_with_object({}) do |tool, schemas|
schemas[tool.name] = MCP::Tool::OutputSchema.new(tool.output_schema) if tool.output_schema
end
tool_names = @mcp_client.tools.map(&:name)
puts "\nConnected to server with tools: #{tool_names}"
end
def chat_loop
puts <<~MESSAGE
MCP Client Started!
Type your queries or 'quit' to exit.
MESSAGE
loop do
print "\nQuery: "
$stdout.flush # a pipe is not line-buffered, so show the prompt before waiting
line = $stdin.gets
break if line.nil?
query = line.chomp.strip
break if query.downcase == "quit"
next if query.empty?
begin
response = process_query(query)
puts "\n#{response}"
rescue => e
puts "\nError: #{e.message}"
end
end
end
def cleanup
@transport&.close
end
private
def process_query(query)
messages = [{ role: "user", content: query }]
available_tools = @mcp_client.tools.map do |tool|
{ name: tool.name, description: tool.description, input_schema: tool.input_schema }
end
final_text = []
# Initial Claude API call with tools.
response = chat(messages, available_tools)
# Keep calling tools until Claude answers without one, up to a cap.
MAX_TOOL_TURNS.times do
tool_uses = []
response.content.each do |block|
case block
when Anthropic::Models::TextBlock
final_text << block.text
when Anthropic::Models::ToolUseBlock
tool_uses << block
end
end
return final_text.join("\n") if tool_uses.empty?
# Execute every tool call in this response and collect the results.
tool_results = tool_uses.map do |tool_use|
result = @mcp_client.call_tool(name: tool_use.name, arguments: tool_use.input)
final_text << "[Calling tool #{tool_use.name} with args #{tool_use.input.to_json}]"
# structured_content is data the application can use directly; when a
# tool returns an array, count its items rather than re-reading prose.
is_error = result.dig("result", "isError") == true
structured = result.dig("result", "structuredContent")
unless is_error
@output_schemas[tool_use.name]&.validate_result(structured)
final_text << "[#{tool_use.name} returned #{structured.length} items]" if structured.is_a?(Array)
end
# content is a list of block types; forward only the text ones.
tool_result_content = result.dig("result", "content")
result_text = if tool_result_content.is_a?(Array)
tool_result_content.filter_map { |content_item| content_item["text"] }.join("\n")
else
tool_result_content.to_s
end
{ type: "tool_result", tool_use_id: tool_use.id, content: result_text, is_error: is_error }
end
# Append the assistant's response and all tool results, in one user
# message, to the history. Every tool_use needs a matching tool_result.
messages << { role: "assistant", content: assistant_content(response) }
messages << { role: "user", content: tool_results }
response = chat(messages, available_tools)
end
# The turn cap was hit. Keep the last response's text. If it asked for
# more tools, say they were not run.
response.content.each do |block|
final_text << block.text if block.is_a?(Anthropic::Models::TextBlock)
end
if response.content.any?(Anthropic::Models::ToolUseBlock)
final_text << "[Stopped after #{MAX_TOOL_TURNS} tool-use turns]"
end
final_text.join("\n")
end
# Convert a response's content blocks back into request parameters. Thinking
# blocks must go back unchanged, signature included, or the API rejects the
# follow-up request.
def assistant_content(response)
response.content.filter_map do |block|
case block
when Anthropic::Models::TextBlock
{ type: "text", text: block.text }
when Anthropic::Models::ToolUseBlock
{ type: "tool_use", id: block.id, name: block.name, input: block.input }
when Anthropic::Models::ThinkingBlock
{ type: "thinking", thinking: block.thinking, signature: block.signature }
when Anthropic::Models::RedactedThinkingBlock
{ type: "redacted_thinking", data: block.data }
end
end
end
# Tools are passed on every call so Claude can keep calling them across turns.
def chat(messages, tools)
anthropic_client.messages.create(
model: ANTHROPIC_MODEL,
max_tokens: MAX_TOKENS,
messages: messages,
tools: tools
)
end
def anthropic_client
@anthropic_client ||= Anthropic::Client.new(api_key: ENV["ANTHROPIC_API_KEY"])
end
end
if ARGV.empty?
puts "Usage: ruby client.rb <path_to_server_script>"
exit 1
end
client = MCPClient.new
begin
client.connect_to_server(ARGV[0])
api_key = ENV["ANTHROPIC_API_KEY"]
if api_key.nil? || api_key.empty?
puts <<~MESSAGE
No ANTHROPIC_API_KEY found. To query these tools with Claude, set your API key:
export ANTHROPIC_API_KEY=your-api-key-here
MESSAGE
exit
end
client.chat_loop
rescue => e
puts "Error: #{e.message}"
exit 1
ensure
client.cleanup
end