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import { Anthropic } from "@anthropic-ai/sdk";
import {
MessageParam,
Tool,
} from "@anthropic-ai/sdk/resources/messages/messages.mjs";
import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StdioClientTransport } from "@modelcontextprotocol/sdk/client/stdio.js";
import readline from "readline/promises";
import dotenv from "dotenv";
dotenv.config(); // load environment variables from .env
const ANTHROPIC_MODEL = "claude-sonnet-4-5";
const ANTHROPIC_API_KEY = process.env.ANTHROPIC_API_KEY;
if (!ANTHROPIC_API_KEY) {
throw new Error("ANTHROPIC_API_KEY is not set");
}
class MCPClient {
private mcp: Client;
private anthropic: Anthropic;
private transport: StdioClientTransport | null = null;
private tools: Tool[] = [];
constructor() {
// Initialize Anthropic client and MCP client
this.anthropic = new Anthropic({
apiKey: ANTHROPIC_API_KEY,
});
this.mcp = new Client({ name: "mcp-client-cli", version: "1.0.0" });
}
async connectToServer(serverScriptPath: string) {
/**
* Connect to an MCP server
*
* @param serverScriptPath - Path to the server script (.py or .js)
*/
try {
// Determine script type and appropriate command
const isJs = serverScriptPath.endsWith(".js");
const isPy = serverScriptPath.endsWith(".py");
if (!isJs && !isPy) {
throw new Error("Server script must be a .js or .py file");
}
const command = isPy
? process.platform === "win32"
? "python"
: "python3"
: process.execPath;
// Initialize transport and connect to server
this.transport = new StdioClientTransport({
command,
args: [serverScriptPath],
});
await this.mcp.connect(this.transport);
// List available tools
const toolsResult = await this.mcp.listTools();
this.tools = toolsResult.tools.map((tool) => {
return {
name: tool.name,
description: tool.description,
input_schema: tool.inputSchema,
};
});
console.log(
"Connected to server with tools:",
this.tools.map(({ name }) => name),
);
} catch (e) {
console.log("Failed to connect to MCP server: ", e);
throw e;
}
}
async processQuery(query: string) {
/**
* Process a query using Claude and available tools
*
* @param query - The user's input query
* @returns Processed response as a string
*/
const messages: MessageParam[] = [
{
role: "user",
content: query,
},
];
// Initial Claude API call
const response = await this.anthropic.messages.create({
model: ANTHROPIC_MODEL,
max_tokens: 1000,
messages,
tools: this.tools,
});
// Process response and handle tool calls
const finalText = [];
for (const content of response.content) {
if (content.type === "text") {
finalText.push(content.text);
} else if (content.type === "tool_use") {
// Execute tool call
const toolName = content.name;
const toolArgs = content.input as { [x: string]: unknown } | undefined;
const result = await this.mcp.callTool({
name: toolName,
arguments: toolArgs,
});
finalText.push(
`[Calling tool ${toolName} with args ${JSON.stringify(toolArgs)}]`,
);
// Continue conversation with tool results
messages.push({
role: "user",
content: result.content as string,
});
// Get next response from Claude
const response = await this.anthropic.messages.create({
model: ANTHROPIC_MODEL,
max_tokens: 1000,
messages,
});
finalText.push(
response.content[0].type === "text" ? response.content[0].text : "",
);
}
}
return finalText.join("\n");
}
async chatLoop() {
/**
* Run an interactive chat loop
*/
const rl = readline.createInterface({
input: process.stdin,
output: process.stdout,
});
try {
console.log("\nMCP Client Started!");
console.log("Type your queries or 'quit' to exit.");
while (true) {
const message = await rl.question("\nQuery: ");
if (message.toLowerCase() === "quit") {
break;
}
const response = await this.processQuery(message);
console.log("\n" + response);
}
} finally {
rl.close();
}
}
async cleanup() {
/**
* Clean up resources
*/
await this.mcp.close();
}
}
async function main() {
if (process.argv.length < 3) {
console.log("Usage: node build/index.js <path_to_server_script>");
return;
}
const mcpClient = new MCPClient();
try {
await mcpClient.connectToServer(process.argv[2]);
await mcpClient.chatLoop();
} catch (e) {
console.error("Error:", e);
await mcpClient.cleanup();
process.exit(1);
} finally {
await mcpClient.cleanup();
process.exit(0);
}
}
main();