MCP tools

import { connectMcpServers } from '@polymatx/weave-mcp';

const mcp = await connectMcpServers({
  fetch: { type: 'stdio', command: 'uvx', args: ['mcp-server-fetch'] },
  github: { type: 'stdio', command: 'npx', args: ['-y', '@modelcontextprotocol/server-github'] },
});

const researcher = agent({
  model: anthropic('claude-sonnet-4-6'),
  tools: mcp.tools,
});

Each MCP tool is namespaced under its server name (e.g. fetch__fetch_url) so collisions are impossible.

Transports

• { type: 'stdio', command, args, env? } — spawn a local MCP server process.
• { type: 'sse', url } — connect to a remote MCP server over Server-Sent Events.

Cleanup

When the graph finishes, close the MCP connections:

await mcp.closeAll();

For long-running services, you typically connect once at startup and reuse the handles across many graph runs.