Vercel
This Vercel-based MCP server, developed using TypeScript and Node.js, provides a lightweight and easily deployable implementation of the Model Context Protocol. It leverages the MCP SDK and integrates with Vercel's serverless infrastructure to offer a scalable solution for AI model interactions. The server's modular structure and use of modern JavaScript features make it adaptable for various AI-driven applications. It is particularly suited for developers looking to quickly set up an MCP endpoint on Vercel, enabling use cases such as chatbots, content generation, and data analysis tasks that require serverless AI model access.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/nganiet/mcp-vercel
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Vercel from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.