2 months ago
- Stateless MCP, also known as MCP 2.0 or the 2026-07-28 Model Context Protocol specification, represents the most significant update since its launch, reigniting interest in the protocol.
- MCP provides a standard way to expose tools to LLM agents, addressing the risks of giving agents terminal and curl access by offering easier audit and control, suitable for smaller models.
- The new stateless specification simplifies both client and server implementations, using a single HTTP request instead of the previous two-step initialization and call process, improving scalability by eliminating server-side session state.
- mcp-explorer is a new stateless Python CLI tool for interacting with MCP servers, offering commands like list, inspect, and call, built with the help of Codex.
- datasette-mcp is a Datasette plugin adding a /-/mcp endpoint, providing three tools: list_databases, get_database_schema, and execute_sql (read-only), enabling agents to query Datasette instances.
- llm-mcp-client is an alpha plugin for LLM tool, integrating MCP and demonstrating the ability to run SQL queries against a Datasette instance, with plans for future integration into LLM core.
- The author now views MCP as a safer approach for building with agents compared to general agents with shell and curl access, due to easier reasoning about capabilities and potential risks.