
hetparekh21/mcp
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A lightweight MCP server (sysmon) and a TypeScript MCP client (mcp-client) that demonstrate integrating local LLMs (via an OpenAI-compatible client) with a set of system and weather tools.
Обзор
A lightweight MCP server (sysmon) and a TypeScript MCP client (mcp-client) that demonstrate integrating local LLMs (via an OpenAI-compatible client) with a set of system and weather tools. The server exposes tools over the MCP protocol and the client connects to a running MCP server over stdio, forwards LLM requests to a local LLM endpoint, and executes tool calls via the MCP SDK. : Example / demo code. Use for experimentation and extension. - : An MCP server that registers system- and weather-related tools. - : A TypeScript MCP client that connects to a server, talks to a local LLM (OpenAI-compatible API), and orchestrates tool calls. : @modelcontextprotocol/sdk, openai (client configured for local LLM), systeminformation, zod, dotenv. - The sysmon server registers the following tools (see sysmon/src/tools): - get-system-info — CPU, RAM, and network stats using systeminformation. - list-processes — list running processes. - kill-process — terminate a process by PID.
README
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MCP (Model Context Protocol) — sysmon + mcp-client
A lightweight MCP server (sysmon) and a TypeScript MCP client (mcp-client) that demonstrate integrating local LLMs (via an OpenAI-compatible client) with a set of system and weather tools. The server exposes tools over the MCP protocol and the client connects to a running MCP server over stdio, forwards LLM requests to a local LLM endpoint, and executes tool calls via the MCP SDK.
Status: Example / demo code. Use for experimentation and extension.
Contents
- sysmon/: An MCP server that registers system- and weather-related tools.
- mcp-client/: A TypeScript MCP client that connects to a server, talks to a local LLM (OpenAI-compatible API), and orchestrates tool calls.
Key dependencies: @modelcontextprotocol/sdk, openai (client configured for local LLM), systeminformation, zod, dotenv.
Quick overview
- The
sysmonserver registers the following tools (seesysmon/src/tools):get-system-info— CPU, RAM, and network stats usingsysteminformation.list-processes— list running processes.kill-process— terminate a process by PID.get-alerts— fetch active weather alerts for a US state (NWS API).get-forecast— fetch forecast for latitude/longitude (NWS API).
- The
mcp-clientconnects to a running MCP server (stdio transport), calls an LLM via an OpenAI-compatible client configured to a local LLM endpoint, and maps model function/tool calls to MCP tool invocations.
Requirements
- Node.js (v18+ recommended)
- npm or yarn
- A local LLM endpoint compatible with the
openaiclient (an HTTP endpoint that accepts the OpenAI-like chat completion surface). SetLLM_BASE_URLto point at it.
Environment variables
Create a .env file at the repository root or in mcp-client when running the client. Important env vars used by the client:
LLM_BASE_URL=http://localhost:11434/ # required — local LLM endpoint
API_KEY=sk-local-llm # optional — API key for local LLM
LLM_MODEL=llama3.1 # optional — model name passed to the LLM
SYSTEM_PROMPT= # optional — additional system prompt content
LOG_FILE=mcp-client.log # optional — client log file
The server (sysmon) writes tool usage logs to logs/tool-usage.log in the repository working directory.
Build & Run
- Install dependencies at the repo root or per-package
# from repo root
cd sysmon
npm install
npm run build
cd ../mcp-client
npm install
npm run build
- Run the server (stdio transport) — this starts the MCP server which communicates over STDIO:
# from repo root
node sysmon/build/index.js
# or if installed globally via the package's bin: ./sysmon/build/index.js
- Run the client and point it to the server script you want to spawn/connect to (the client expects a server script path):
cd mcp-client
Установка
This server does not publish a one-line install command.
Open the repository installation guide Новичок в MCP? Начните с руководства на mcpskill.org →