Welcome to wags

The wags toolkit is based on state-of-the-art research into how multi-turn agents usually fail, and makes it straightforward to implement advanced countermeasures. While Model Context Protocol (MCP) offers a standardized way for AI models to interact with external tools and data sources, we still don't fully understand what makes a good MCP server. wags makes it easy to deploy the latest research on context engineering and several new MCP features improve user and agent experience without rewriting your existing MCP servers.

Quick Links

• Quick Start

  Connect to existing wags servers and start using enhanced MCP features immediately.

• Onboarding New Servers

  Create your first wags enhanced server with middleware. See servers/github/ for a complete example.

• Middleware

  Learn about available middleware and how to use them.

• Running Evals

  Execute BFCL benchmarks to evaluate agent performance with wags servers.