Cursor AI Integration Service for Vercel AI SDK Utilities

This package establishes an MCP server layer to expose core functions from the Vercel AI SDK ecosystem. It is engineered for consumption within advanced IDE agents (like Cursor) that leverage the Model Context Protocol for external tool invocation, specifically supporting object schema synthesis, textual response streaming, and declarative UI element construction.

Principal Capabilities

• Vercel AI Abstraction: Wraps critical SDK methods (generateObject, streamText, etc.) into callable MCP functions.
• Agent Orchestration Ready: Designed to participate in multi-server workflows (Pathway 2) alongside complementary services such as mcp-figma and magic-mcp via the Smithery intermediary.
• Toolset Governance: Includes intrinsic management logic (ToolManager) for controlling the exposed function count presented to the IDE host.
• Deployment Pipeline: Pre-configured for CI/CD deployment using standard tooling (Dockerfile, smithery.yaml).

Orchestration Paradigm (Pathway 2 Focus)

This server component is intended to act as a specialized utility provider within a multi-step AI workflow managed by the host IDE. The intended execution sequence involves:

1. Context Acquisition: Leveraging user prompts and IDE-specific configuration rules (.cursor/rules/).
2. Sequential Invocation: Calling disparate MCP providers in sequence:
   • Design manipulation via mcp-figma.
   • Inspiration/Conceptualization via magic-mcp.
   • Structured output/rendering logic via this vercel-ai-sdk-mcp server.
3. Synthesis: The orchestrating AI combines the heterogeneous outputs to fulfill complex objectives.

While direct inter-server communication (Pathway 1) is architecturally supported via an internal composite tool example, the primary operational philosophy centers on external orchestration.

Setup & Prerequisites

Installation requires the following dependencies:

• Runtime: Node.js (v20+ recommended)
• Package Management: npm
• Version Control: Git
• Host Environment: Cursor IDE
• Deployment Platform: Smithery Account
• Credentials: Operational API tokens for OpenAI, and optionally for Figma/21st Dev if placeholder connectors are activated.

Local Execution Guide

1. Source Cloning: Obtain the repository contents.
2. Dependency Resolution: Execute npm install.
3. Environment Configuration: Populate the .env file, ensuring OPENAI_API_KEY is present.
4. Compilation: Run npm run build to generate runtime artifacts.
5. Activation: Initiate the local server listener via npm run start (utilizing stdio transport).

Integrating Locally with Cursor

Modify your workspace configuration file (.cursor/mcp.json) to point the vercel-ai-sdk-mcp entry to the locally compiled JavaScript output (dist/index.js) and ensure environment variables containing the necessary API keys are accessible to Cursor.

Operational Guidance (Pathway 2 Activation)

Successful utilization hinges on providing explicit guidance rules within the project's .cursor/rules/ directory. These rules instruct the AI on when and how to chain calls across the registered MCP providers (mcp-figma, magic-mcp, and this service) to achieve desired outcomes.

Deployment to Smithery

Deployment facilitates production use via containerization. After pushing source code, configure the service on the Smithery platform, supplying required secrets (like API keys) through the deployment configuration interface. Once live, update .cursor/mcp.json to invoke the service via the Smithery CLI runner (npx @smithery/cli run ...).

Service Configuration Notes

Access to Vercel AI SDK features is contingent upon providing the OPENAI_API_KEY. Other keys are conditionally required based on the activation of placeholder integrations for Figma or the Magic MCP.

Future Enhancements

• Connector Finalization: Full implementation of API interaction within the figma/connector.ts and magicMcp/connector.ts modules.
• Feature Parity: Expansion of toolset to encompass all relevant Vercel AI SDK primitives.
• Robustness: Improvement of fault tolerance and logging mechanisms.

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License: ISC

Contextual Note: This utility serves to bridge modern generative AI SDK functionality into established IDE tooling frameworks, accelerating the development lifecycle for applications requiring complex, AI-driven responses.