Model Context Protocol guides drop
New developer guides show how to use the Model Context Protocol (MCP) with Coda + Pydantic AI and with Vercel’s MCP‑compliant AI SDK, enabling type‑safe context injection and validated AI workflows in TypeScript and Python ( ).
Composio’s Coda + Pydantic AI guide includes a step‑by‑step “Creating MCP Server — Stand‑alone vs Tool Router” walkthrough and full code examples in both Python and TypeScript. The Pydantic AI documentation surfaces MCP support and documents utilities like FastMCPToolset and an MCPServerTool for connecting programmatic agents to remote MCP servers. Composio’s Vercel guide targets Vercel AI SDK v6 and shows how to instantiate an MCP client over HTTP, use a Tool Router to dynamically load Composio tools, and handle tool calls and results inside a Vercel agent workflow. The Vercel blog and Composio guide both call out Vercel SDK features developers will use with MCP—streamText for response streaming and a built‑in @ai‑sdk/mcp client for MCP connectivity—while composio’s example adds step counting controls like stopWhen: stepCountIs(). Composio publishes an @composio/vercel integration package on public CDNs (current tagged version 0.6.6 on jsDelivr), enabling immediate install and experimentation with the Vercel provider for Composio tools. The Model Context Protocol specification referenced by these guides is maintained at modelcontextprotocol.io, with the 2025‑03‑26 spec snapshot cited as the protocol baseline used by these integrations.
