What dependencies does MCP Serverless require?
The package has no runtime dependencies beyond Node.js and the npm package itself; it is self‑contained.
@tilfin
Basic information
Serverless implementation of the Model Context Protocol (MCP)
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
MCP Serverless is a serverless implementation of the Model Context Protocol (MCP) architecture that enables tool management through a clean interface. It is designed for developers who need to register and manage tools, handle tool-related requests, and create in‑memory client‑server connections. The package extends requests with context to allow credential transmission from clients.
Install the package with npm (npm install @tilfin/mcp-serverless). Import ToolManager and createService from the package, create a tool manager, register tools (each with name, description, input schema, and a tool function), then create a service client and call client.listTools() or client.callTool(). Context (e.g., an API key) can be passed in the ctx property of the tool call arguments.
The package has no runtime dependencies beyond Node.js and the npm package itself; it is self‑contained.
All tool registrations and in‑memory client‑server connections exist only in the current process’s memory. The system does not persist data to disk or a database.
The package includes examples for standard I/O transport (`StdioClientTransport` and `StdioServerTransport`). The core API (`createService`) creates an in‑memory connection that does not require any network or I/O transport.
Authentication is handled by passing a `ctx` object (containing credentials such as an API key) when calling a tool. The tool function receives the context and can validate it before processing the request.
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