flutter_ai_mcp 0.1.4

Model Context Protocol (MCP) integration for flutter_ai: connect to MCP servers over Streamable HTTP and expose their tools as flutter_ai tools that flow through the agent loop.

Changelog

0.1.4

• Fix: StreamableHttpMcpConnection.callTool now has a per-call timeout (callTimeout, default 60s). The underlying transport only bounds the response headers, not the SSE body read, so a stalled server previously left the tool future unresolved and wedged the agent turn indefinitely; a timed-out call now surfaces as an error result instead.

0.1.3

• Docs: refreshed the README listing with a hero image, screenshot gallery, and badges (consistent across the package family). No code changes.

0.1.2

• Declares supported platforms: (all 6) for the pub.dev listing.

0.1.1

• callTool throws McpToolException when a tool returns isError: true (so the failure reaches the model) and prefers the server's structured content.

0.1.0

Initial release.

• McpConnection / McpToolInfo — a transport-agnostic contract for listing and calling MCP server tools.
• StreamableHttpMcpConnection.connect(...) — connects to an MCP server over Streamable HTTP (the right transport for mobile/web), backed by mcp_client.
• mcpToolSpecs(connection) — adapts discovered MCP tools into flutter_ai ToolSpecs so they register in a ToolRegistry and flow through the agent loop alongside native tools.