MCP servers' tools

# A server this app starts (stdio): any MCP server, in any language.
files = await mcp.stdio("npx", ["-y", "@modelcontextprotocol/server-filesystem", "./notes"], prefix="files")

# A server at a URL (Streamable HTTP), with a token in a header.
docs = await mcp.http(
    "https://mcp.example.com/mcp",
    headers={"Authorization": f"Bearer {os.environ['DOCS_MCP_TOKEN']}"},
    prefix="docs",
)

agent = Agent(
    "openai:gpt-5-mini",
    tools=[files, docs.tool("docs_search")],  # a server = all its tools, or pick some
    approve=["files_write_file"],  # MCP tools work with approvals like any tool
)
result = await agent.run("Summarize what ./notes says about the Q3 launch.")
print(result.text)

await files.close()
await docs.close()

// A server this app starts (stdio): any MCP server, in any language.
const files = await mcp.stdio("npx", ["-y", "@modelcontextprotocol/server-filesystem", "./notes"], { prefix: "files" });

// A server at a URL (Streamable HTTP), with a token in a header.
const docs = await mcp.http("https://mcp.example.com/mcp", {
  headers: { Authorization: `Bearer ${process.env.DOCS_MCP_TOKEN}` },
  prefix: "docs",
});

const agent = new Agent({
  model: openai("gpt-5-mini"),
  tools: [files, docs.tool("docs_search")], // a server = all its tools, or pick some
  approve: ["files_write_file"], // MCP tools work with approvals like any tool
});
const result = await agent.run("Summarize what ./notes says about the Q3 launch.");
console.log(result.text);

await files.close();
await docs.close();

use criogenai_agent::{Agent, mcp::McpServer};
use criogenai_providers::{Endpoint, ProviderModel};

// A server this app starts (stdio): any MCP server, in any language.
let files = McpServer::stdio(
    "npx",
    ["-y", "@modelcontextprotocol/server-filesystem", "./notes"],
)
.prefix("files")
.connect()
.await?;

// A server at a URL (Streamable HTTP), with a token in a header.
let token = std::env::var("DOCS_MCP_TOKEN")?;
let docs = McpServer::http("https://mcp.example.com/mcp")
    .header("Authorization", format!("Bearer {token}"))
    .prefix("docs")
    .only(["search"])
    .connect()
    .await?;

let model = ProviderModel::new(
    Endpoint::openai(std::env::var("OPENAI_API_KEY")?),
    "gpt-5-mini",
)?;
let agent = Agent::builder(model)
    .tools(files.tools())
    .tools(docs.tools())
    .build()?;
let result = agent
    .run("Summarize what ./notes says about the Q3 launch.")
    .await?;
println!("{}", result.text().unwrap_or_default());

files.close().await;

async with await mcp.stdio("uvx", ["mcp-server-time"]) as time:
    print([t.name for t in time.tools], time.info["protocol_version"])
    print(await time.call("get_current_time", {"timezone": "Europe/Lisbon"}))

const time = await mcp.stdio("uvx", ["mcp-server-time"]);
console.log(time.tools.map((t) => t.name), time.info.protocolVersion);
console.log(await time.call("get_current_time", { timezone: "Europe/Lisbon" }));
await time.close();