MCPSERV.CLUB
arbuthnot-eth

SimpleMCP

MCP Server

Minimalist MCP server for scalable LLM applications

Stale(50)
0stars
1views
Updated Mar 22, 2025

About

SimpleMCP is a lightweight, dependency-free implementation of the Model-Context-Protocol pattern. It enables developers to build scalable applications that can be easily ingested by large language models, with clear separation of concerns and TypeScript support.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

SimpleMCP Overview

Overview

The SimpleMCP server is a lightweight, opinion‑free implementation of the Model‑Context‑Protocol (MCP) pattern. It tackles a common pain point for developers who want to expose data and tooling to large language models (LLMs) without the overhead of a full‑blown framework. By keeping the implementation minimal and dependency‑free, SimpleMCP allows teams to embed MCP functionality directly into their existing codebases or microservices with a single, straightforward package.

At its core, SimpleMCP offers the standard MCP capabilities: resources, tools, prompts, and sampling. Resources represent structured data that the LLM can query, tools expose executable actions, prompts provide reusable templates for context construction, and sampling controls how the model generates responses. Because the server is written in TypeScript yet supports plain JavaScript, it integrates seamlessly into modern web and Node.js projects while still delivering type safety for developers who need stricter contracts.

Key features of SimpleMCP include:

  • Zero dependencies – no external libraries are required, reducing attack surface and simplifying deployment.
  • Clear separation of concerns – resources, tools, prompts, and sampling are defined in distinct modules, making the codebase easy to navigate and maintain.
  • Extensibility – developers can add custom resource handlers or tool executors without touching the core logic, thanks to a plugin‑friendly architecture.
  • TypeScript support – optional typings help catch integration errors early and improve IDE experience.

Typical use cases involve building AI‑powered assistants that need to fetch real‑time data, trigger workflows, or provide dynamic content. For example, a customer support bot can query an internal knowledge base (resource) while also invoking ticket‑creation APIs (tool). In a data‑analysis pipeline, the assistant can retrieve CSVs or database rows and then run statistical tools on them. Because SimpleMCP exposes a clean HTTP interface, it can be orchestrated by any MCP‑compliant client—Claude, Gemini, or custom-built LLM wrappers—making it a versatile bridge between models and business logic.

What sets SimpleMCP apart is its commitment to minimalism without sacrificing functionality. Developers who need a quick, reliable MCP server can adopt it immediately, while those with more advanced requirements can extend the framework thanks to its modular design. The result is a production‑ready, easily maintainable server that empowers AI assistants to interact with external data and services in a controlled, type‑safe manner.